Junmei Wan
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Mitochondrial Function and Pathology 16
- ATP Synthase and ATPases Research 8
- Cell death mechanisms and regulation 3
-
- Genetic Neurodegenerative Diseases 4
- Photoreceptor and optogenetics research 4
- Co-authors
- Nicholas G. Davis (7 shared papers)Amy F. Roth (5 shared papers)Aaron O. Bailey (3 shared papers)John R. Yates (4 shared papers)William N. Green (3 shared papers)Kun Huang (4 shared papers)J. Kuchar (1 shared paper)Brett S. Phinney (1 shared paper)
- Journals
- Cells (4 papers)Human Molecular Genetics (2 papers)The FASEB Journal (2 papers)Journal of Clinical Investigation (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Junmei Wan
33 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 112
- Cell Biology 536
- Cellular and Molecular Neuroscience 476
- Immunology 500
- Molecular Biology 1.7k
- Biochemistry 110
Countries citing papers authored by Junmei Wan
This map shows the geographic impact of Junmei Wan'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 Junmei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junmei Wan more than expected).
Fields of papers citing papers by Junmei Wan
This network shows the impact of papers produced by Junmei Wan. 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 Junmei Wan. The network helps show where Junmei Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junmei Wan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 470 | |
| 2 | 2008 | 465 | |
| 3 | 2007 | 357 | |
| 4 | 2001 | 355 | |
| 5 | 2018 | 185 | |
| 6 | 2020 | 160 | |
| 7 | 2011 | 96 | |
| 8 | 2010 | 88 | |
| 9 | 2011 | 75 | |
| 10 | 2013 | 66 | |
| 11 | 2024 | 55 | |
| 12 | 2019 | 51 | |
| 13 | 2006 | 49 | |
| 14 | 2024 | 38 | |
| 15 | 2003 | 37 | |
| 16 | 2019 | 33 | |
| 17 | 2003 | 32 | |
| 18 | 2021 | 24 | |
| 19 | 2007 | 24 | |
| 20 | 2001 | 21 |
About Junmei Wan
Junmei Wan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Immunology and Epidemiology, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (8 papers), Genetic Neurodegenerative Diseases (4 papers), Photoreceptor and optogenetics research (4 papers), T-cell and B-cell Immunology (3 papers), Cell death mechanisms and regulation (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cell Biology (536 citations), Cellular and Molecular Neuroscience (476 citations), Immunology (500 citations), Molecular Biology (1.7k citations) and Biochemistry (110 citations). Junmei Wan has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Nicholas G. Davis, Amy F. Roth, Aaron O. Bailey, John R. Yates, William N. Green, Kun Huang, J. Kuchar, Brett S. Phinney, Rujun Kang and Maik Hüttemann. Their work appears in journals such as Cells, Human Molecular Genetics, The FASEB Journal, Journal of Clinical Investigation and The Journal of Immunology.
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.