Cong Lin

55 papers receiving 1.5k citations

Peers

Cong Lin
Comparison fields: 5 of 127
  • Biological Psychiatry 130
  • Aging 46
  • Behavioral Neuroscience 53
  • Endocrinology, Diabetes and Metabolism 158
  • Molecular Biology 651
Replace Martina Chiappelli with:
Martina Chiappelli Italy
Clara Meda Italy
Fiorenzo Mignini Italy
Kevin Bullock United States
Florencia María Barbé‐Tuana Brazil
Yan Yan China
Shuo Li China
Jari Huuskonen Finland
Dake Huang China
Francesca Fagiani Italy
Cong Lin relative to Martina Chiappelli Italy Martina Chiappelli's profile →
Citations per field
00.5×4.3×
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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006424
2 2004229
3 2004219
4 202349
5 200748
6 201745
7 201341
8 201438
9 202133
10 201528
11 201927
12 201526
13 201726
14 201525
15 201519
16 202217
17 202317
18 202316
19 201316
20 202215

About Cong Lin

Cong Lin is a scholar working on Molecular Biology, Pharmacology, Pulmonary and Respiratory Medicine, Immunology and Ecology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), RNA modifications and cancer (4 papers), Animal Ecology and Behavior Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Biological Psychiatry (130 citations), Aging (46 citations), Behavioral Neuroscience (53 citations), Endocrinology, Diabetes and Metabolism (158 citations) and Molecular Biology (651 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, Sonal Harbaran, Anja Richter, Jing Xu, Jennifer Altomonte, H. Henry Dong, Marcia Meseck and Keren Borensztajn. Their work appears in journals such as Frontiers in Immunology, Journal of Medicinal Chemistry, International Journal of Molecular Sciences, Journal of Cellular and Molecular Medicine and Heliyon.

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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