Bin Wei

2.0k citations
76 papers · 1.3k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 10%
    • interferon and immune responses

Papers in

    • Cancer-related gene regulation 10
    • RNA modifications and cancer 7
    • Circular RNAs in diseases 5
    • Epigenetics and DNA Methylation 5
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 7

Bin Wei

74 papers receiving 1.3k citations

Peers

Bin Wei
Comparison fields: 5 of 114
  • Cancer Research 327
  • Immunology 234
  • Molecular Biology 681
  • Oncology 257
  • Biological Psychiatry 21
Replace Bin Chen with:
Bin Chen China
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Yi‐Jen Peng Taiwan
Weibin Cai China
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Citations per field
00.5×1.5×1.9×
Bin Chen · 1×
Citations per year

Countries citing papers authored by Bin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 202064
3 201459
4 202254
5 201550
6 202149
7 201841
8 202040
9 202237
10 201836
11 201836
12 202134
13 201334
14 201434
15 200930
16 201929
17 202227
18 201526
19 200826
20 201925

About Bin Wei

Bin Wei is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related gene regulation (10 papers), Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Esophageal Cancer Research and Treatment (5 papers), Epigenetics and DNA Methylation (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Cancer Research (327 citations), Immunology (234 citations), Molecular Biology (681 citations), Oncology (257 citations) and Biological Psychiatry (21 citations). Bin Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian‐Ping Jin, Yanhong Gu, Jingjing Wu, Qiang Xu, Wenjie Guo, Shuqing Liu, Xiaomin Cai, Ming‐Zhong Sun, Chunmei Guo and Lingyan Xu. Their work appears in journals such as The Journal of Physiology, Acta Pharmaceutica Sinica B, OncoTargets and Therapy, Journal of Biological Chemistry and BMC 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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