2020生信分析SCI见刊趋势分析（独家）

今天猫哥在Pubmed中检索了2020年所有的生信分析SCI，迄今已经发现1277篇生信SCI，其中1110篇纯生信，剩下的167包含部分实验的验证。

不是说生信分析很难发SCI了吗？这似乎也不少啊！

咱们来八一八。

首先生信SCI，拒稿率高是事实，随便画个热图、火山图、PPI网络、生存分析的人越来越多，傻瓜式网站也多，但不足非常显著：

①数据选择不合理；②数据量小；③分析思路单一；④作图粗糙千篇一律

不过水涨船高，多层次、大数据量、新热点的，难度较高的生信SCI也更多了。

猫哥给大家分析了一下其中影响因子>3分纯生信文章的统计结果。

对2020接收量＞10篇的标准对杂志（>3分）统计，如果按照接受数量排序，Front Oncol（4.1分）、J Cancer（3.2分）、J Cell Biochem（3.4分）、Front Genet（3.5分）、Aging (Albany NY)（5.5分）、J Cell Physiol（4.5分），如下：

生信友好期刊统计	2020接收量	影响因子
Front Oncol	31	4.1
J Cancer	31	3.2
J Cell Biochem	31	3.4
Front Genet	30	3.5
Aging (Albany NY)	28	5.5
J Cell Physiol	23	4.5
Sci Rep	21	4.0
Cancers (Basel)	20	6.2
J Cell Mol Med	20	4.7
Cancer Med	18	3.4
J Transl Med	16	4.1
Cancer Cell Int	13	3.4
Int Immunopharmacol	10	3.4
Bioinformatics	9	4.5
Nat Commun	9	11.9
Int J Cancer	8	5.0
Oncol Rep	8	3.0
Biomed Pharmacother	7	3.7
Cells	7	5.7
Nucleic Acids Res	7	11.1
Onco Targets Ther	7	3.0
Int J Mol Sci	6	4.2

如果按照影响因子IF大小排序，如下

生信友好期刊统计	影响因子	2020接收量
Nat Commun	11.9	9
Nucleic Acids Res	11.1	7
Clin Cancer Res	8.9	5
Cancers (Basel)	6.2	20
Cells	5.7	7
Aging (Albany NY)	5.5	28
Front Bioeng Biotechnol	5.1	5
Int J Cancer	5.0	8
Cancer Immuno Immunother	4.9	5
J Cell Mol Med	4.7	20
Bioinformatics	4.5	9
J Cell Physiol	4.5	23
Gynecol Oncol	4.4	5
Int J Mol Sci	4.2	6
Front Oncol	4.1	31
J Transl Med	4.1	16
Sci Rep	4.0	21
Biomed Pharmacother	3.7	7
Front Genet	3.5	30
Cancer Cell Int	3.4	13
J Cell Biochem	3.4	31
Int Immunopharmacol	3.4	10
Cancer Med	3.4	18
Genes (Basel)	3.3	5
J Cancer	3.2	31
Genomics	3.2	5
Onco Targets Ther	3.0	7
Oncol Rep	3.0	8
BMC Cancer	2.9	9
DNA Cell Biol	2.9	10
Cancer Biomark	2.9	12
PLoS One	2.8	10
Dis Markers	2.8	5
Gene	2.6	7
BMC Med Genomics	2.6	11
Biosci Rep	2.5	13
BMC Bioinformatics	2.5	6
Mol Genet  Genomic Med	2.4	6
Clin Transl Oncol	2.4	5
Pathol Oncol Res	2.4	5
PeerJ	2.4	30
Cancer Manag Res	2.2	11
Biomed Res Int	2.2	19
Med Sci Monit	2.0	19

其中大于5分的杂志里Cancers (Basel)、Aging (Albany NY)对纯生信类的文章最为友好的，好中一些。

我们举例一些高分文章：

文章名字	期刊
A 15-gene immune, stromal and proliferation gene signature that significantly associates  with poor survival in patients with pancreatic ductal adenocarcinoma.	Clin Cancer Res
Adenosine Signaling Is Prognostic for Cancer Outcome and Has Predictive Utility for  Immunotherapeutic Response.
Altered Gene Expression along the Glycolysis-Cholesterol Synthesis Axis Is Associated with Outcome in Pancreatic Cancer.
Computational staining of pathology images to study the tumor microenvironment in lung cancer.	Cancer Res
Comprehensive characterization of the rRNA metabolism-related genes in human cancer.	Oncogene
Pan-Cancer Analysis of Mitochondria Chaperone-Client Co-Expression Reveals Chaperone Functional Partitioning.	Cancers (Basel)
Pan-Cancer Analysis of Radiotherapy Benefits and Immune Infiltration in Multiple Human Cancers.
Integrated Analysis of RNA-Binding Proteins in Glioma.
Cancer Stem Cell Marker DCLK1 Correlates with Tumorigenic Immune Infiltrates in the Colon and Gastric Adenocarcinoma Microenvironments.
Survival-Associated  Metabolic Genes in Human  Papillomavirus-Positive Head and Neck Cancers.
Ex Vivo Organoid Cultures Reveal the Importance of the Tumor Microenvironment for Maintenance of Colorectal Cancer Stem Cells.
Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning.
SST gene hypermethylation acts as a pan-cancer  marker for pancreatic ductal adenocarcinoma and multiple other tumors: toward  its use for blood-based diagnosis.	Mol Oncol
Analysis of DNA methylation patterns in the tumor immune microenvironment of metastatic melanoma.
Improved prognostication of glioblastoma beyond molecular subtyping by  transcriptional profiling of the tumor microenvironment.
Low expression of pro-apoptotic proteins Bax, Bak and Smac indicates prolonged progression-free survival in chemotherapy-treated  metastatic melanoma.	Cell Death Dis
Oncogene-dependent function of BRG1 in hepatocarcinogenesis.
Epigenetic Alterations Associated with the Overall Survival and  Recurrence Free Survival among Oral Squamous Cell Carcinoma Patients.	J Clin Med
FOXA1 Gene Expression for Defining Molecular Subtypes of Muscle-Invasive  Bladder Cancer after Radical Cystectomy.
Opposite Roles of BAP1 in Overall Survival of Uveal Melanoma and  Cutaneous Melanoma.
The G Protein-Coupled Estrogen Receptor (GPER) Expression Correlates with  Pro-Metastatic Pathways in ER-Negative Breast  Cancer: A Bioinformatics Analysis.	Cells
Computational Detection of Breast Cancer Invasiveness with DNA  Methylation Biomarkers.
Tumor Infiltrating Neutrophils Are Enriched in Basal-Type Urothelial Bladder Cancer.
Development of prognostic index based on autophagy-related genes analysis in breast  cancer.	Aging (Albany NY)
Prognostic value of a hypoxia-related microRNA signature in  patients with colorectal cancer.
Development and validation of a RNA binding protein-associated prognostic  model for lung adenocarcinoma.
Immunological analyses reveal an immune subtype of uveal melanoma  with a poor prognosis.
Analysis of immune-related signatures of lung  adenocarcinoma identified two distinct subtypes: implications for immune  checkpoint blockade therapy.
Methylome and transcriptome analyses reveal insights into the epigenetic  basis for the good survival of hypomethylated ER-positive breast cancer  subtype.	Clin Epigenetics
A DNA methylation signature to improve survival prediction of gastric  cancer.

可见高分生信SCI模式分为以下几类：

1．泛癌研究：多肿瘤组合分析，找共享基因；

2．单疾病的多组学（转录组ATAC-seq）联合分析；

3．肿瘤类免疫浸润分析价值分子；

4．转录因子-lncRNA在肿瘤发生中的分析：

5．代谢通路在肿瘤发病中的大数据挖掘；

6．RBP蛋白、DNA甲基化、自噬等热点在肿瘤中的分析；

等等

猫头鹰博士相信2020年生信分析，依然有很多模式等待挖掘。

欢迎咨询，我们会给您提供个性化的分析方案，免费的哦。

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