Wei Tan

3.2k citations
94 papers · 2.2k indexed · h-index 30

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Cancer-related molecular mechanisms research 16
    • MicroRNA in disease regulation 15
    • Gastrointestinal motility and disorders 7

Wei Tan

89 papers receiving 2.2k citations

Peers

Wei Tan
Comparison fields: 5 of 114
  • Cancer Research 551
  • Genetics 308
  • Immunology 483
  • Rheumatology 245
  • Molecular Biology 1.1k
Replace Masayuki Shimoda with:
Masayuki Shimoda Japan
Mahsa M. Amoli Iran
Kinta Hatakeyama Japan
Myoung Ja Chung South Korea
Bruce A. Hug United States
Hideaki Enzan Japan
Mutsuo Harada Japan
Mario Vitale Italy
Haijing Wu China
Bahjat Al‐Ani Saudi Arabia
Wei Tan relative to Masayuki Shimoda Japan Masayuki Shimoda's profile →
Citations per field
00.5×2.6×
Masayuki Shimoda · 1×
Citations per year

Countries citing papers authored by Wei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20248
4 20231
5 20237
6 20239
7 202210
8 20224
9 20212
10 20219
11 202013
12 20209
13 202043
14 201942
15 2019111
16 201515
17 201445
18 201417
19 201387
20 201377

About Wei Tan

Wei Tan is a scholar working on Cancer Research, Gastroenterology, Obstetrics and Gynecology, Immunology and Genetics, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers), Mesenchymal stem cell research (8 papers), Circular RNAs in diseases (8 papers), Gastrointestinal motility and disorders (7 papers), Extracellular vesicles in disease (6 papers), Epigenetics and DNA Methylation (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Cancer Research (551 citations), Genetics (308 citations), Immunology (483 citations), Rheumatology (245 citations) and Molecular Biology (1.1k citations). Wei Tan has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Changjun Wang, Zhifeng Gu, Guijuan Feng, Biyu Shen, Chun Cheng, Yanxiang Cheng, Fangfang Dai, Yan Meng, Dongyong Yang and Jing Xing. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Cell and Tissue Research, Frontiers in Immunology, OncoTargets and Therapy and Biomedicine & Pharmacotherapy.

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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