Lin Yan

141 papers receiving 4.3k citations

Peers

Lin Yan
Comparison fields: 5 of 133
  • Aging 224
  • Geriatrics and Gerontology 185
  • Cancer Research 589
  • Molecular Biology 2.3k
  • Cardiology and Cardiovascular Medicine 722
Replace Hanrui Zhang with:
Hanrui Zhang United States
Ji Li United States
Thomas J. LaRocca United States
Ji Li China
Fátima Bosch Spain
Dao‐Fu Dai United States
Ángela M. Valverde Spain
Sébastien Herzig Switzerland
Marı́a Monsalve Spain
Shiqiang Yu China
Lin Yan relative to Hanrui Zhang United States Hanrui Zhang's profile →
Citations per field
00.5×1.5×1.9×
Hanrui Zhang · 1×
Citations per year

Countries citing papers authored by Lin Yan

Since Specialization
Citations

This map shows the geographic impact of Lin Yan'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 Lin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yan more than expected).

Fields of papers citing papers by Lin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Yan. 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 Lin Yan. The network helps show where Lin Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin Yan, 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 Lin Yan Line = papers co-authored together Lin Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005422
2 2007285
3 2008284
4 2015192
5 2006171
6 201390
7 202288
8 201886
9 202086
10 200484
11 201977
12 201475
13 201675
14 201073
15 202171
16 201068
17 201658
18 201953
19 200748
20 201048

About Lin Yan

Lin Yan is a scholar working on Aging, Geriatrics and Gerontology, Endocrine and Autonomic Systems, Physiology and Pathology and Forensic Medicine, having authored 147 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (21 papers), Adipose Tissue and Metabolism (21 papers), Ion channel regulation and function (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Pancreatic function and diabetes (11 papers), Nitric Oxide and Endothelin Effects (10 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Sirtuins and Resveratrol in Medicine (9 papers). The work is most often cited by research in Aging (224 citations), Geriatrics and Gerontology (185 citations), Cancer Research (589 citations), Molecular Biology (2.3k citations) and Cardiology and Cardiovascular Medicine (722 citations). Lin Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dorothy E. Vatner, Stephen F. Vatner, Junichi Sadoshima, Hui Ming Ge, Yoshihiro Ishikawa, Guiping Yang, Yutaka Matsui, Malthi Masurekar, Song‐Jung Kim and William H. Massover. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation, Journal of Molecular and Cellular Cardiology, Basic Research in Cardiology and Molecular and Cellular Biochemistry.

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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