Wei Yan

69 papers receiving 1.3k citations

Wei Yan's Hit Papers

Cardiovascular diseases and depression: A meta-analysis and Mendelian randomization analysis 2025 · 19 citations
190Years since publication51015

Peers

Wei Yan
Comparison fields: 5 of 118
  • Biological Psychiatry 111
  • Behavioral Neuroscience 32
  • Pharmacology 115
  • Cardiology and Cardiovascular Medicine 139
  • Molecular Biology 424
Replace Michael Dicay with:
Michael Dicay Canada
Kanako Takahashi Japan
Su Kang Kim South Korea
Cong Lin China
Hiromi Yano Japan
Dan Liu China
Alexey Sarapultsev Russia
Shuo Li China
Rui Xue China
Shao‐Chun Lu Taiwan
Wei Yan relative to Michael Dicay Canada Michael Dicay's profile →
Citations per field
00.5×3.1×
Michael Dicay · 1×
Citations per year

Countries citing papers authored by Wei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021189
2 2009117
3 2020107
4 202183
5 201460
6 201653
7 201852
8 201246
9 201043
10 201943
11 201842
12 201537
13 201933
14 201730
15 201526
16
Cold exposure stimulates lipid metabolism, induces inflammatory response in the adipose tissue of mice and promotes the osteogenic differentiation of BMMSCs via the p38 MAPK pathway in vitro.
201523
17 201822
18 201720
19 201120
20 200819

About Wei Yan

Wei Yan is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Plant Science, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (5 papers), Gut microbiota and health (4 papers), Coronary Artery Anomalies (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Plant Molecular Biology Research (2 papers), Voice and Speech Disorders (2 papers), Cancer-related molecular mechanisms research (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (2 papers). The work is most often cited by research in Biological Psychiatry (111 citations), Behavioral Neuroscience (32 citations), Pharmacology (115 citations), Cardiology and Cardiovascular Medicine (139 citations) and Molecular Biology (424 citations). Wei Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lijia Chang, Kenji Hashimoto, Weimin Li, Wei Liu, Yue Li, Fang Wang, Weiwei Feng, Xiaoxu Zhou, Xiao Guo and Baiqiang Lin. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Clinical and Experimental Pharmacology and Physiology, Molecular Psychiatry and Frontiers in Plant Science.

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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