May Han
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 14
- Retinal Development and Disorders 11
- Sphingolipid Metabolism and Signaling 9
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- Multiple Sclerosis Research Studies 19
- Co-authors
- Thomas P. Sakmar (11 shared papers)Steven O. Smith (12 shared papers)Lawrence Steinman (13 shared papers)Paul W. Sternberg (2 shared papers)Hsing‐Chuan Tsai (6 shared papers)Santosh T. Menon (1 shared paper)Carsten J. Schubert (1 shared paper)Sergey A. Vishnivetskiy (1 shared paper)
- Journals
- Neurology (7 papers)Proceedings of the National Academy of Sciences (5 papers)Biochemistry (5 papers)Journal of Biological Chemistry (5 papers)Cancer Research (4 papers)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
May Han
93 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 125
- Aging 250
- Cellular and Molecular Neuroscience 1.2k
- Neurology 491
- Pathology and Forensic Medicine 873
- Immunology 966
Countries citing papers authored by May Han
This map shows the geographic impact of May Han'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 May Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Han more than expected).
Fields of papers citing papers by May Han
This network shows the impact of papers produced by May Han. 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 May Han. The network helps show where May Han may publish in the future.
Co-authors
The 25 scholars most cited alongside May Han, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 429 | |
| 2 | 2008 | 424 | |
| 3 | 2001 | 328 | |
| 4 | 2009 | 256 | |
| 5 | 2001 | 249 | |
| 6 | 2011 | 192 | |
| 7 | 2015 | 189 | |
| 8 | 2016 | 172 | |
| 9 | 1990 | 168 | |
| 10 | 2010 | 149 | |
| 11 | 2007 | 139 | |
| 12 | 2013 | 133 | |
| 13 | 1998 | 124 | |
| 14 | 2012 | 123 | |
| 15 | 2014 | 118 | |
| 16 | 2014 | 117 | |
| 17 | 2021 | 111 | |
| 18 | 2019 | 107 | |
| 19 | 2009 | 98 | |
| 20 | 1991 | 90 |
About May Han
May Han is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Hepatology and Oncology, having authored 96 papers that have together received 5.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (19 papers), Liver physiology and pathology (15 papers), Photoreceptor and optogenetics research (15 papers), Receptor Mechanisms and Signaling (14 papers), Retinal Development and Disorders (11 papers), Sphingolipid Metabolism and Signaling (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Aging (250 citations), Cellular and Molecular Neuroscience (1.2k citations), Neurology (491 citations), Pathology and Forensic Medicine (873 citations) and Immunology (966 citations). May Han has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Thomas P. Sakmar, Steven O. Smith, Lawrence Steinman, Paul W. Sternberg, Hsing‐Chuan Tsai, Santosh T. Menon, Carsten J. Schubert, Sergey A. Vishnivetskiy, Vsevolod V. Gurevich and Paul B. Sigler. Their work appears in journals such as Neurology, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Biological Chemistry and Cancer 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.