Xiaochun Lin

676 citations
36 papers · 421 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Ion Transport and Channel Regulation
    • Ion channel regulation and function

Papers in

    • Ion Transport and Channel Regulation 2
    • Phytochemical compounds biological activities 2
    • Adipose Tissue and Metabolism 5

Xiaochun Lin

34 papers receiving 420 citations

Peers

Xiaochun Lin
Comparison fields: 5 of 70
  • Cancer Research 93
  • Molecular Biology 182
  • Pharmacology 19
  • Epidemiology 65
  • Complementary and alternative medicine 15
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Citations per field
00.5×1.5×2.5×
Yuan Dong · 1×
Citations per year

Countries citing papers authored by Xiaochun Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaochun Lin Line = papers co-authored together Xiaochun Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201841
3 202033
4 202032
5 202426
6 202025
7 202124
8 201919
9 202017
10 201917
11 202014
12 201911
13 202011
14 202010
15 201210
16 20218
17 20207
18 20207
19 20206
20 20226

About Xiaochun Lin

Xiaochun Lin is a scholar working on Molecular Biology, Physiology, Cancer Research, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 421 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), MicroRNA in disease regulation (4 papers), Hormonal Regulation and Hypertension (3 papers), Cancer-related molecular mechanisms research (3 papers), Ion Transport and Channel Regulation (2 papers), Phytochemical compounds biological activities (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (93 citations), Molecular Biology (182 citations), Pharmacology (19 citations), Epidemiology (65 citations) and Complementary and alternative medicine (15 citations). Xiaochun Lin has collaborated with scholars based in China, Denmark and Zimbabwe. Frequent co-authors include Meiping Guan, Yudan Zhang, Yanmei Zeng, Shu Fang, Xiu Liu, Jin‐Yan Shang, Jia‐Guo Zhou, Xiaofei Lv, Sijia Liang and Chunyan Wu. Their work appears in journals such as Adipocyte, Evidence-based Complementary and Alternative Medicine, International Immunopharmacology, Scientific Reports and BioMed Research International.

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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