Yi Yan

486 citations
23 papers · 371 · h-index 9

Impact in

    • Cell death mechanisms and regulation
    • Protein Kinase Regulation and GTPase Signaling
    • Cancer-related Molecular Pathways

Papers in

Yi Yan

21 papers receiving 364 citations

Peers

Yi Yan
Comparison fields: 5 of 80
  • Molecular Biology 207
  • Oncology 80
  • Physiology 72
  • Cancer Research 41
  • Toxicology 9
Replace Mang‐Hua Xu with:
Mang‐Hua Xu China
Xiaoduo Dong Singapore
Yuyuan Yao China
Barbara Bonamassa Italy
Sameer Ullah Khan India
Chia‐Yao Shen Taiwan
Sang‐Muk Oh South Korea
Garret Vincent United States
Yanna Jiao China
Yi Yan relative to Mang‐Hua Xu China Mang‐Hua Xu's profile →
Citations per field
00.5×3.3×
Mang‐Hua Xu · 1×
Citations per year

Countries citing papers authored by Yi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006178
2 202047
3 201924
4 202320
5 202416
6 201612
7 201810
8 202010
9 20178
10 20198
11 20177
12 20215
13 20174
14
The role of activated neutrophils and free radical in the pathogenesis of pulmonary hypertension.
19934
15 20194
16 20224
17 20223
18 20223
19 20212
20 20231

About Yi Yan

Yi Yan is a scholar working on Physiology, Molecular Biology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 23 papers that have together received 371 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Molecular Biology (207 citations), Oncology (80 citations), Physiology (72 citations), Cancer Research (41 citations) and Toxicology (9 citations). Yi Yan has collaborated with scholars based in China and United States. Frequent co-authors include Jill Bargonetti, Hui Li, Yongfa Zheng, David A. Foster, Dingguo Zhang, Yunpeng Cao, Zhijian Yang, Dengshun Miao, Xiaomao Luo and Haidong Wang. Their work appears in journals such as Journal of Cellular Biochemistry, Aging, Neuroscience Research, Brain Research and International Journal of Molecular Sciences.

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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