Cong Lin

63 papers receiving 1.8k citations

Cong Lin's Hit Papers

Prognostic genome and transcriptome signatures in colorectal cancers 2024 · 82 citations
820+1Years since publication255075

Peers

Cong Lin
Comparison fields: 5 of 132
  • Biological Psychiatry 144
  • Aging 48
  • Behavioral Neuroscience 57
  • Endocrinology, Diabetes and Metabolism 179
  • Molecular Biology 733
Replace Martina Chiappelli with:
Martina Chiappelli Italy
Víctor Andrade Chile
Toryn M. Poolman United Kingdom
Yan Yan China
Venugopalan D. Nair United States
Maria Agnese Della Fazia Italy
Anna Podgornaia United States
Florencia María Barbé‐Tuana Brazil
Sunita Sharma India
Cong Lin relative to Martina Chiappelli Italy Martina Chiappelli's profile →
Citations per field
00.5×2×4×6.3×
Martina Chiappelli · 1×
Citations per year

Countries citing papers authored by Cong Lin

Since Specialization
Citations

This map shows the geographic impact of Cong Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Lin more than expected).

Fields of papers citing papers by Cong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cong Lin. The network helps show where Cong Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Cong Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Lin Line = papers co-authored together Cong Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006467
2 2004243
3 2004235
4
Prognostic genome and transcriptome signatures in colorectal cancers
Hit paper breakdown →
202482
5 202353
6 200752
7 201745
8 201340
9 201438
10 202136
11 202329
12 201528
13 201728
14 201928
15 201526
16 201525
17 201520
18 201319
19 202319
20 202318

About Cong Lin

Cong Lin is a scholar working on Pharmacology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Hematology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), RNA modifications and cancer (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Biological Psychiatry (144 citations), Aging (48 citations), Behavioral Neuroscience (57 citations), Endocrinology, Diabetes and Metabolism (179 citations) and Molecular Biology (733 citations). Cong Lin has collaborated with scholars based in China, United States and France. Frequent co-authors include Wim E. Crusio, Frederick A. Schroeder, Schahram Akbarian, Marcia L. Meseck, Jing Xu, H. Henry Dong, Sonal Harbaran, Jennifer Altomonte, Anja M. Richter and Keren Borensztajn. Their work appears in journals such as Frontiers in Immunology, Journal of Medicinal Chemistry, Journal of Cellular and Molecular Medicine, International Journal of Molecular Sciences and Chinese Chemical Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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