Sanda Win
Impact in
- Pharmacology top 0.2%
- Drug-Induced Hepatotoxicity and Protection
- Hepatology top 1%
- Liver Disease and Transplantation
- Liver physiology and pathology
Papers in ⓘ
- Pharmacology 14
- Drug-Induced Hepatotoxicity and Protection 14
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- Liver physiology and pathology 4
- Co-authors
- Tin Aung Than (19 shared papers)Neil Kaplowitz (23 shared papers)Ayako Suzuki (3 shared papers)Manal F. Abdelmalek (2 shared papers)Stefano Ballestri (1 shared paper)Amedeo Lonardo (1 shared paper)Fabio Nascimbeni (1 shared paper)DeLisa Fairweather (1 shared paper)
- Journals
- Hepatology (5 papers)Journal of Biological Chemistry (3 papers)Cell Death and Disease (2 papers)Journal of Hepatology (2 papers)Antioxidants and Redox Signaling (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sanda Win
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Pharmacology 751
- Hepatology 645
- Epidemiology 1.2k
- Endocrinology, Diabetes and Metabolism 376
- Cell Biology 245
Countries citing papers authored by Sanda Win
This map shows the geographic impact of Sanda Win'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 Sanda Win with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanda Win more than expected).
Fields of papers citing papers by Sanda Win
This network shows the impact of papers produced by Sanda Win. 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 Sanda Win. The network helps show where Sanda Win may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanda Win, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sex Differences in Nonalcoholic Fatty Liver Disease: State of the Art and Identification of Research Gaps Hit paper breakdown → | 2019 | 688 |
| 2 | 2018 | 195 | |
| 3 | 2016 | 147 | |
| 4 | 2013 | 146 | |
| 5 | 2011 | 142 | |
| 6 | 2017 | 140 | |
| 7 | 2015 | 136 | |
| 8 | 2014 | 133 | |
| 9 | 2015 | 114 | |
| 10 | 2019 | 99 | |
| 11 | 2010 | 88 | |
| 12 | 2018 | 62 | |
| 13 | 2011 | 55 | |
| 14 | 2017 | 51 | |
| 15 | 2016 | 47 | |
| 16 | 2008 | 43 | |
| 17 | 2017 | 40 | |
| 18 | 2019 | 35 | |
| 19 | 2021 | 31 | |
| 20 | 2019 | 20 |
About Sanda Win
Sanda Win is a scholar working on Pharmacology, Hepatology, Epidemiology, Oncology and Molecular Biology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Melanoma and MAPK Pathways (4 papers), Liver physiology and pathology (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Immunotherapy and Immune Responses (3 papers), Cell death mechanisms and regulation (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Pharmacology (751 citations), Hepatology (645 citations), Epidemiology (1.2k citations), Endocrinology, Diabetes and Metabolism (376 citations) and Cell Biology (245 citations). Sanda Win has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tin Aung Than, Neil Kaplowitz, Ayako Suzuki, Manal F. Abdelmalek, Stefano Ballestri, Amedeo Lonardo, Fabio Nascimbeni, DeLisa Fairweather, Derick Han and Robert Win Maw Min. Their work appears in journals such as Hepatology, Journal of Biological Chemistry, Cell Death and Disease, Journal of Hepatology and Antioxidants and Redox Signaling.
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.