Xiaochun Lin
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Ion Transport and Channel Regulation
- Ion channel regulation and function
Papers in
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- RNA modifications and cancer 3
- Surgery 9
- Pancreatic function and diabetes 3
- Co-authors
- Meiping Guan (12 shared papers)Yudan Zhang (7 shared papers)Shu Fang (6 shared papers)Yanmei Zeng (8 shared papers)Chunyan Wu (5 shared papers)Xiaofei Lv (5 shared papers)Sijia Liang (5 shared papers)Jin‐Yan Shang (5 shared papers)
- Journals
- Adipocyte (3 papers)Evidence-based Complementary and Alternative Medicine (2 papers)International Immunopharmacology (2 papers)Scientific Reports (1 paper)Diabetes (1 paper)
- Partner nations
- ChinaDenmarkTrinidad and Tobago
In The Last Decade
Xiaochun Lin
33 papers receiving 404 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 104
- Molecular Biology 201
- Pharmacology 25
- Complementary and alternative medicine 18
- Epidemiology 75
Countries citing papers authored by Xiaochun Lin
This map shows the geographic impact of Xiaochun 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 Xiaochun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochun Lin more than expected).
Fields of papers citing papers by Xiaochun Lin
This network shows the impact of papers produced by Xiaochun 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 Xiaochun Lin. The network helps show where Xiaochun Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochun Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 57 | |
| 2 | 2018 | 41 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2020 | 24 | |
| 6 | 2021 | 24 | |
| 7 | 2024 | 22 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2012 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2014 | 5 |
About Xiaochun Lin
Xiaochun Lin is a scholar working on Molecular Biology, Surgery, Cancer Research, Physiology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Adipose Tissue and Metabolism (5 papers), Diet, Metabolism, and Disease (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), Pancreatic function and diabetes (3 papers), Hormonal Regulation and Hypertension (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (104 citations), Molecular Biology (201 citations), Pharmacology (25 citations), Complementary and alternative medicine (18 citations) and Epidemiology (75 citations). Xiaochun Lin has collaborated with scholars based in China, Denmark and Trinidad and Tobago. Frequent co-authors include Meiping Guan, Yudan Zhang, Shu Fang, Yanmei Zeng, Chunyan Wu, Xiaofei Lv, Sijia Liang, Jin‐Yan Shang, Xiu Liu and Jia‐Guo Zhou. Their work appears in journals such as Adipocyte, Evidence-based Complementary and Alternative Medicine, International Immunopharmacology, Scientific Reports and Diabetes.
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.