Mingwei Min
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 8
- Glycosylation and Glycoproteins Research 4
- Pluripotent Stem Cells Research 4
- Cell death mechanisms and regulation 3
- Genomics and Chromatin Dynamics 3
- Cell Biology 13
- Microtubule and mitosis dynamics 11
- Cellular transport and secretion 4
- Co-authors
- Sabrina L. Spencer (6 shared papers)Chengzhe Tian (2 shared papers)Sara E. Gookin (2 shared papers)Iain D. Miller (2 shared papers)Catherine Lindon (8 shared papers)Jinku Bao (5 shared papers)Chen Yang (1 shared paper)Bo Liu (4 shared papers)
- Journals
- PLoS Biology (2 papers)Science (2 papers)Journal of genetics and genomics (1 paper)Cell Research (1 paper)Seminars in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mingwei Min
25 papers receiving 1.6k citations
Mingwei Min's Hit Papers
Peers
Comparison fields: 5 of 108
- Cell Biology 387
- Molecular Biology 1.0k
- Immunology 252
- Oncology 270
- Biophysics 56
Countries citing papers authored by Mingwei Min
This map shows the geographic impact of Mingwei Min'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 Mingwei Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingwei Min more than expected).
Fields of papers citing papers by Mingwei Min
This network shows the impact of papers produced by Mingwei Min. 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 Mingwei Min. The network helps show where Mingwei Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingwei Min, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ki67 is a Graded Rather than a Binary Marker of Proliferation versus Quiescence Hit paper breakdown → | 2018 | 432 |
| 2 | 2017 | 122 | |
| 3 | 2015 | 108 | |
| 4 | 2008 | 96 | |
| 5 | 2023 | 81 | |
| 6 | 2020 | 80 | |
| 7 | 2017 | 78 | |
| 8 | 2008 | 77 | |
| 9 | 2009 | 70 | |
| 10 | 2009 | 69 | |
| 11 | 2019 | 57 | |
| 12 | 2016 | 51 | |
| 13 | 2015 | 48 | |
| 14 | 2008 | 38 | |
| 15 | 2013 | 37 | |
| 16 | 2014 | 30 | |
| 17 | 2013 | 27 | |
| 18 | 2012 | 25 | |
| 19 | 2024 | 19 | |
| 20 | 2023 | 14 |
About Mingwei Min
Mingwei Min is a scholar working on Molecular Biology, Cell Biology, Oncology, Plant Science and Biomedical Engineering, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Ubiquitin and proteasome pathways (8 papers), Glycosylation and Glycoproteins Research (4 papers), Pluripotent Stem Cells Research (4 papers), Cellular transport and secretion (4 papers), Cell death mechanisms and regulation (3 papers), Cancer-related Molecular Pathways (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cell Biology (387 citations), Molecular Biology (1.0k citations), Immunology (252 citations), Oncology (270 citations) and Biophysics (56 citations). Mingwei Min has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sabrina L. Spencer, Chengzhe Tian, Sara E. Gookin, Iain D. Miller, Catherine Lindon, Jinku Bao, Chen Yang, Bo Liu, He-jiao Bian and Longfei Chen. Their work appears in journals such as PLoS Biology, Science, Journal of genetics and genomics, Cell Research and Seminars in Cell and Developmental Biology.
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.