Runmin Wei
Impact in
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in ⓘ
-
- Hepatitis C virus research 2
- Co-authors
- Jingye Wang (9 shared papers)Tianlu Chen (9 shared papers)Yan Ni (4 shared papers)Mingming Su (5 shared papers)Wei Jia (16 shared papers)Shaoqiu Chen (2 shared papers)Guoxiang Xie (9 shared papers)Cynthia Rajani (5 shared papers)
- Journals
- Scientific Reports (2 papers)Analytical Chemistry (2 papers)Oncotarget (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Runmin Wei
22 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Biological Psychiatry 35
- Molecular Biology 830
- Hepatology 89
- Physiology 207
- Health Informatics 10
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data Hit paper breakdown → | 2018 | 441 |
| 2 | 2016 | 177 | |
| 3 | 2022 | 123 | |
| 4 | 2018 | 117 | |
| 5 | 2017 | 109 | |
| 6 | 2018 | 71 | |
| 7 | 2018 | 54 | |
| 8 | 2017 | 39 | |
| 9 | 2013 | 35 | |
| 10 | 2020 | 34 | |
| 11 | 2016 | 29 | |
| 12 | 2018 | 28 | |
| 13 | 2020 | 26 | |
| 14 | 2014 | 24 | |
| 15 | 2016 | 21 | |
| 16 | 2018 | 17 | |
| 17 | 2019 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2018 | 8 | |
| 20 | 2019 | 7 |
About Runmin Wei
Runmin Wei is a scholar working on Hepatology, Behavioral Neuroscience, Complementary and alternative medicine, Molecular Biology and Clinical Biochemistry, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Gut microbiota and health (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Bioinformatics and Genomic Networks (3 papers), Diet and metabolism studies (3 papers), Epigenetics and DNA Methylation (2 papers), Hepatitis B Virus Studies (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Molecular Biology (830 citations), Hepatology (89 citations), Physiology (207 citations) and Health Informatics (10 citations). Runmin Wei has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jingye Wang, Tianlu Chen, Yan Ni, Mingming Su, Wei Jia, Shaoqiu Chen, Guoxiang Xie, Cynthia Rajani, Wenlian Chen and Xiaoning Wang. Their work appears in journals such as Scientific Reports, Analytical Chemistry, Oncotarget, Analytical and Bioanalytical Chemistry and Journal of Proteome Research.
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.