Fei Lin

484 citations
42 papers · 328 · h-index 12

Impact in

Papers in

    • Circular RNAs in diseases 4
    • Medicinal Plants and Bioactive Compounds 4
    • Mitochondrial Function and Pathology 4
    • Metabolomics and Mass Spectrometry Studies 2

Fei Lin

36 papers receiving 326 citations

Peers

Fei Lin
Comparison fields: 5 of 64
  • Cancer Research 61
  • Obstetrics and Gynecology 18
  • Molecular Biology 176
  • Clinical Biochemistry 14
  • Cardiology and Cardiovascular Medicine 38
Replace Xiaoyi Wu with:
Xiaoyi Wu China
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Suxin Luo China
Amr M. Abdelhamid Egypt
Chu‐Yen Chien Taiwan
Guofei Ren China
Zhongcai Fan China
Rafael I. Jaén Spain
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Fei Lin relative to Xiaoyi Wu China Xiaoyi Wu's profile →
Citations per field
00.5×3.5×
Xiaoyi Wu · 1×
Citations per year

Countries citing papers authored by Fei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 201943
3 201527
4 202020
5 200820
6 202420
7 202015
8 202013
9 201913
10 202013
11 202312
12 202411
13 201810
14 20249
15 20227
16 20235
17 20205
18 20224
19 20254
20 20243

About Fei Lin

Fei Lin is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 42 papers that have together received 328 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Medicinal Plants and Bioactive Compounds (4 papers), Mitochondrial Function and Pathology (4 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Traditional Chinese Medicine Studies (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Cancer Research (61 citations), Obstetrics and Gynecology (18 citations), Molecular Biology (176 citations), Clinical Biochemistry (14 citations) and Cardiology and Cardiovascular Medicine (38 citations). Fei Lin has collaborated with scholars based in China, Hong Kong and Indonesia. Frequent co-authors include Guoan Zhao, Siyu Sun, Jie Wang, Xuefang Li, Lili Guo, Dongxu Li, Xingjiang Xiong, Qinhui Tuo, Yiyue Zhang and Meng Li. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Pharmacy and Pharmacology, Frontiers in Pharmacology, Disease Markers and International Journal of Gynecological Cancer.

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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