2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!

2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!
2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!
2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!
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2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!

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方便大家短平快发SCI

2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!

时光如水,即便是如此艰辛坎坷的2020也已悄然离去。生活在继续,舞会从来不曾停止!在这不平凡的2020年,生信SCI发文量如何?发文趋势又如何?有哪些生信友好期刊?今天我们就来整体回顾一下2020年生信SCI文章进展!

2020年生信SCI发文量统计

小编在Pubmed中,通过“gene expression omnibus”、“TCGA”、“bioinformatics”、“biomarker”、“differentially expressed”、“protein protein interaction”、“ROC analysis”“signature”等关键词进行组合检索,再经过筛选、去重复,最终检索到2020年发表的所有生信SCI共4165篇,其中纯生信(或仅含少量表达检测)文章3194篇,剩下的971篇生信实验类文章,其包含实验占比>30%。

 

看到这个数据你是不是有疑惑“听说生信文章很难发了,怎么还有这么多的文章呢,而且还不缺乏高分文章”。那别人的生信文章都是怎么设计的呢?纯生信文章投哪些期刊比较容易接收呢?下面我们来一探究竟!
生信友好期刊推荐
对2020年所有生信文章的发表期刊进行统计,以下列举出接收生信文章量大于30篇的期刊,根据接收量排序如下:

2020生信友好期刊

接收量

2020-IF因子

Front Oncol

181

4.85

Biomed Res Int

154

2.28

Front Genet

152

3.26

Aging (Albany NY)

129

4.83

Oncol Lett

101

2.31

PeerJ

93

2.38

Cancer Cell Int

87

4.18

Cancers (Basel)

84

6.13

Sci Rep

77

4.00

J Cancer

71

3.57

Biosci Rep

69

2.94

BMC Cancer

67

3.15

Med Sci Monit

65

1.92

Medicine (Baltimore)

62

1.55

Cancer Manag Res

61

2.89

Cancer Med

58

3.49

J Cell Mol Med

57

4.49

Ann Transl Med

51

3.30

PLoS One

44

2.74

J Cell Physiol

39

5.55

J Comput Biol

37

1.05

Mol Med Rep

36

2.10

J Cell Biochem

35

4.24

Int J Mol Sci

34

4.56

J Transl Med

34

4.12

Am J Transl Res

33

3.38

DNA Cell Biol

33

3.19

Technol Cancer Res Treat

33

2.07

Front Mol Biosci

30

4.19

猫头鹰博士(微信:ipaper360)

根据接收量>20篇,影响因子>3筛选条件,按照期刊影响因子排序如下:

2020生信友好期刊

2020-IF因子

接收量

Theranostics

8.58

21

Cancers (Basel)

6.13

84

Bioinformatics

5.61

20

J Cell Physiol

5.55

39

Front Cell Dev Biol

5.20

23

Front Immunol

5.09

22

Front Oncol

4.85

181

Aging (Albany NY)

4.83

129

Int J Mol Sci

4.56

34

J Cell Mol Med

4.49

57

J Cell Biochem

4.24

35

Front Mol Biosci

4.19

30

Cancer Cell Int

4.18

87

J Transl Med

4.12

34

Sci Rep

4.00

77

J Cancer

3.57

71

Cancer Med

3.49

58

Cancer Biomark

3.44

26

Oncol Rep

3.42

27

Am J Transl Res

3.38

33

Ann Transl Med

3.30

51

Front Genet

3.26

152

DNA Cell Biol

3.19

33

BMC Cancer

3.15

67

猫头鹰博士(微信:ipaper360)

以上期刊列表绝对都能称作“生信友好期刊”了,大家有需要投稿的生信文章,可以根据影响因子在列表中选择合适的期刊哦。
生信SCI发文趋势分析
2020年年度生信SCI大赏评选正式开始!本次评选,192篇(IF>7)从4165篇生信SCI中脱颖而出。下面让我们一同欣赏这些文章亮点!

2020年生信发文趋势

影响因子(IF)

发文量

ALL

4165

IF>3

2552

IF>5

613

IF>7

192

1.2020年最香生信SCI提名

文献标题

期刊

IF

Microbiome analyses of blood and tissues suggest cancer diagnostic approach.

Nature

42.77

Genomic basis for RNA alterations in cancer.

Nature

42.77

The repertoire of mutational signatures in human cancer.

Nature

42.77

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

Nature

42.77

The evolutionary history of 2,658 cancers.

Nature

42.77

Patterns of somatic structural variation in human cancer genomes.

Nature

42.77

Pan-cancer analysis of whole genomes.

Nature

42.77

Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies

Cell

38.63

Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing

Cell

38.63

Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer

Cell

38.63

Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences.

Cell

38.63

能发表在Nature、Cell国际订刊上的文章能不香吗?从研究内容来看这几篇文章都是泛癌研究或者是单细胞测序研究,果然不是一般人能够驾驭的。

2.2020年最佳生信工具文章提名

文献标题

分类

期刊

IF

Xenbase: deep integration of GEO & SRA RNA-seq and ChIP-seq data in a model organism database.

数据库

Nucleic

Acids 

Res

11.50

LncTarD: a manually-curated database of experimentally-supported functional lncRNA-target regulations in human diseases.

数据库

Nucleic

Acids 

Res

11.50

ChimerDB 4.0: an updated and expanded database of fusion genes.

数据库

Nucleic

Acids 

Res

11.50

LnCeVar: a comprehensive database of genomic variations that disturb ceRNA network regulation.

数据库

Nucleic

Acids 

Res

11.50

DNMIVD: DNA methylation interactive visualization database.

数据库

Nucleic

Acids 

Res

11.50

SNP2APA: a database for evaluating effects of genetic variants on alternative polyadenylation in human cancers.

数据库

Nucleic

Acids 

Res

11.50

ncRNA-eQTL: a database to systematically evaluate the effects of SNPs on non-coding RNA expression across cancer types.

数据库

Nucleic

Acids 

Res

11.50

TIMER2.0 for analysis of tumor-infiltrating immune cells.

数据库

Nucleic

Acids 

Res

11.50

CVCDAP: an integrated platform for molecular and clinical analysis of cancer virtual cohorts.

数据库

Nucleic

Acids 

Res

11.50

miRactDB characterizes miRNA-gene relation switch between normal and cancer tissues across pan-cancer.

数据库

Brief 

Bioinform

8.99

Network control principles for identifying personalized driver genes in cancer.

生信

方法

Brief 

Bioinform

8.99

TOD-CUP: a gene expression rank-based majority vote algorithm for tissue origin diagnosis of cancers of unknown primary.

生信

方法

Brief 

Bioinform

8.99

DiSNEP: a Disease-Specific gene Network Enhancement to improve Prioritizing candidate disease genes.

生信

方法

Brief 

Bioinform

8.99

DeepHPV: a deep learning model to predict human papillomavirus integration sites.

生信

方法

Brief 

Bioinform

8.99

Extended application of genomic selection to screen multiomics data for prognostic signatures of prostate cancer.

生信

方法

Brief 

Bioinform

8.99

Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning.

生信

方法

Brief

Bioinform

8.99

CNApp, a tool for the quantification of copy number alterations and integrative analysis revealing clinical implications.

生信

方法

Elife

7.08

sTAM: An Online Tool for the Discovery of miRNA-Set Level Disease Biomarkers.

生信

方法

Mol 

Ther 

Nucleic

Acids

7.03

Reference-free deconvolution, visualization and interpretation of complex DNA methylation data using DecompPipeline, MeDeCom and FactorViz.

生信

方法

Nat 

Protoc

10.41

A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

生信

方法

Genome

Med

10.67

Characterization of the dual functional effects of heat shock proteins (HSPs) in cancer hallmarks to aid development of HSP inhibitors.

生信

方法

Genome Med

10.67

CICERO: a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data.

生信

方法

Genome Biol

10.80

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.

生信

方法

IEEE 

Trans

Cybern

11.07

Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning.

生信

方法

Gut

19.81

2020年发表数据库高分文章10篇,生信方法开发高分文章14篇。这些数据库及生信方法都是生信数据挖掘,文章写作的有力工具,有了这些神器加持,有木有觉得生信分析未来可期呀!(友情提示:想找不错的数据库或生信方法的文章推荐在Nucleic Acids Res、Brief Bioinform期刊查找哦!

3.2020年单细胞生信sci提名

文献标题

期刊

IF

Single-cell transcriptome analysis reveals tumor immune microenvironment heterogenicity and granulocytes enrichment in colorectal cancer liver metastases.

Cancer 

Lett

7.36

Network analysis of transcriptomic diversity amongst resident tissue macrophages and dendritic cells in the mouse mononuclear phagocyte system.

PLoS 

Biol

7.07

Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes.

Mol 

Ther

8.98

Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes.

Mol 

Ther

8.98

Stromal cell diversity associated with immune evasion in human triple-negative breast cancer

EMBO J

9.88

Malignant cell-specific CXCL14 promotes tumor lymphocyte infiltration in oral cavity squamous cell carcinoma.

Immunother

Cancer

9.91

Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.

Nucleic 

Acids 

Res

11.50

A gene expression signature of TREM2 macrophages and γδ T cells predicts immunotherapy response

Nat 

Commun

12.12

Single-cell RNA sequencing highlights the role ofinflammatory cancer-associatedfibroblasts inbladder urothelial carcinoma

Nat 

Commun

12.12

Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels

Nat 

Cell 

Biol

20.04

Single-Cell Transcriptome Analysis Reveals Dynamic Cell Populations and Differential Gene Expression Patterns in Control and Aneurysmal Human Aortic Tissue

Circulation

23.60

Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies

Cell

38.63

Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing

Cell

38.63

Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer

Cell

38.63

2020年发表的单细胞生信高分文章14篇,相信随着单细胞测序成本的降低及单细胞数据集的增加,单细胞生信发文势必会是下一个爆点。
4.2020年最热生信套路文章提名

(1)预后模型构建/biomarker筛选生信SCI列29篇:延续了2019年的生信研究热点,2020年诊断/预后模型、biomarker筛选的生信文章有增无减。且高分文章的生信套路得到了升级,比如糅合多个研究热点的生信套路(m6A相关的lncRNA构建肿瘤预后模型),又比如增加多个数据库的数据集及临床信息进行多角度模型验证的生信套路。总之,预后模型相关,尤其是肿瘤预后相关生信文章还是大有可为的!

(2)非编码RNA研究高分生信SCI共22篇:从这些高分文章可以看出,纯生信的ceRNA机制研究目前已经很难再发5分以上的文章了,想要发表非编码RNA研究的高分文章,生信分析加上表达量验证实验(Real-Time qPCR、Westorn Blot)体外细胞表型实验(细胞增殖/细胞凋亡/细胞迁移等实验)已成为标配。

3免疫治疗/免疫浸润相关生信SCI共14篇:随着肿瘤异质性、肿瘤微环境的深入研究,肿瘤治疗已进入肿瘤免疫治疗新时代预测肿瘤复发的可能性,分析患者免疫状态筛选诊断生物标志物等研究,利用高通量生信分析无疑是行之有效的有力手段。

2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!

由于文章较多,小编在这里就不展开文献列表了。小编已将2020年影响因子大于7分的生信文章(近200篇)全部下载,有需要的小伙伴扫描文末二维码添加猫哥微信,可获取文章下载链接。有任何生信分析方案问题也可咨询猫哥哦!

新年寄语

即便是2020“实鼠不易”的一年,我们也不曾停下脚步,依然砥砺前行!在此致敬坚守岗位、奋战一线的广大医务人员!致敬砥志研孜孜不倦的科研工作者,致敬努力工作,热爱生活每一个“打工人”最后,预祝所有科研工作者在崭新的2021年百尺竿头,更进一步!


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2020年生信SCI大赏-最全生信文章、最友好生信期刊、最详情发文趋势都在这里!

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