Runmin Wei
Impact in
- Molecular Biology top 5%
- Gut microbiota and health
- Single-cell and spatial transcriptomics
- Metabolomics and Mass Spectrometry Studies
- Health Informatics top 10%
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Single-cell and spatial transcriptomics 3
- Gut microbiota and health 3
- Epigenetics and DNA Methylation 1
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- Cancer Genomics and Diagnostics 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Yan Ni (6 shared papers)Jingye Wang (9 shared papers)Tianlu Chen (9 shared papers)Mingming Su (6 shared papers)Wei Ping Jia (17 shared papers)Shaoqiu Chen (2 shared papers)Guoxiang Xie (10 shared papers)Cynthia Rajani (6 shared papers)
- Journals
- Nature Communications (2 papers)Oncotarget (2 papers)Nature Biotechnology (2 papers)Nature (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Runmin Wei
31 papers receiving 2.8k citations
Runmin Wei's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 913
- Health Informatics 15
- Aging 10
- Pathology and Forensic Medicine 122
- Biophysics 39
Countries citing papers authored by Runmin Wei
This map shows the geographic impact of Runmin 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 Runmin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runmin Wei more than expected).
Fields of papers citing papers by Runmin Wei
This network shows the impact of papers produced by Runmin 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 Runmin Wei. The network helps show where Runmin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Runmin Wei, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Theabrownin from Pu-erh tea attenuates hypercholesterolemia via modulation of gut microbiota and bile acid metabolism Hit paper breakdown → | 2019 | 672 |
| 2 | Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data Hit paper breakdown → | 2018 | 529 |
| 3 | 2016 | 192 | |
| 4 | 2016 | 187 | |
| 5 | 2022 | 180 | |
| 6 | 2023 | 150 | |
| 7 | 2018 | 137 | |
| 8 | 2017 | 125 | |
| 9 | 2019 | 93 | |
| 10 | 2018 | 81 | |
| 11 | 2022 | 80 | |
| 12 | 2018 | 60 | |
| 13 | 2017 | 48 | |
| 14 | 2020 | 37 | |
| 15 | 2013 | 36 | |
| 16 | 2024 | 35 | |
| 17 | 2018 | 33 | |
| 18 | 2016 | 30 | |
| 19 | 2020 | 30 | |
| 20 | 2014 | 26 |
About Runmin Wei
Runmin Wei is a scholar working on Molecular Biology, Cancer Research, Complementary and alternative medicine, Spectroscopy and Biophysics, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper) and Bariatric Surgery and Outcomes (1 paper). The work is most often cited by research in Molecular Biology (913 citations), Health Informatics (15 citations), Aging (10 citations), Pathology and Forensic Medicine (122 citations) and Biophysics (39 citations). Runmin Wei has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yan Ni, Jingye Wang, Tianlu Chen, Mingming Su, Wei Ping Jia, Shaoqiu Chen, Guoxiang Xie, Cynthia Rajani, Wenlian Chen and Linjing Zhao. Their work appears in journals such as Nature Communications, Oncotarget, Nature Biotechnology, Nature and Scientific Reports.
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.