Cong Lin

3.3k citations
63 papers · 1.5k · h-index 17

Impact in

Papers in

Cong Lin

52 papers receiving 1.5k citations

Peers

Cong Lin
Comparison fields: 5 of 129
  • Biological Psychiatry 138
  • Aging 45
  • Behavioral Neuroscience 63
  • Endocrinology, Diabetes and Metabolism 195
  • Molecular Biology 693
Replace Martina Chiappelli with:
Martina Chiappelli Italy
Clara Meda Italy
Yifu Qiu China
Sunita Sharma United States
Yan Yan China
Shuo Li China
Dake Huang China
Hyunwon Yang South Korea
Débora Aparecida Pires de Campos Zuccari Brazil
Guang Chen China
Cong Lin relative to Martina Chiappelli Italy Martina Chiappelli's profile →
Citations per field
00.5×4.8×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006418
2 2004226
3 2004218
4 200748
5 201744
6 202341
7 201341
8 201438
9 202130
10 201528
11 201726
12 201526
13 201926
14 201525
15 201519
16 202317
17 201316
18 202315
19 202214
20 202214

About Cong Lin

Cong Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology, Immunology and Cancer Research, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Cannabis and Cannabinoid Research (6 papers), RNA modifications and cancer (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Immune Response and Inflammation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (138 citations), Aging (45 citations), Behavioral Neuroscience (63 citations), Endocrinology, Diabetes and Metabolism (195 citations) and Molecular Biology (693 citations). Cong Lin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Frederick A. Schroeder, Schahram Akbarian, Wim E. Crusio, Jennifer Altomonte, Sonal Harbaran, H. Henry Dong, Anja Richter, Jing Xu, Marcia Meseck and Keren Borensztajn. Their work appears in journals such as Frontiers in Immunology, Journal of Medicinal Chemistry, Scientific Reports, Journal of Clinical Investigation and Communications Biology.

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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