Nan Wu
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Liver Diseases and Immunity
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- Circadian rhythm and melatonin
Papers in
- Hepatology 34
- Liver physiology and pathology 21
- Liver Diseases and Immunity 13
- Hepatitis C virus research 4
- Surgery 29
- Pediatric Hepatobiliary Diseases and Treatments 19
- Co-authors
- Gianfranco Alpini (42 shared papers)Shannon Glaser (37 shared papers)Fanyin Meng (29 shared papers)Tianhao Zhou (33 shared papers)Heather Francis (32 shared papers)Julie Venter (19 shared papers)Lindsey Kennedy (24 shared papers)Konstantina Kyritsi (25 shared papers)
- Journals
- Hepatology (10 papers)Laboratory Investigation (5 papers)The FASEB Journal (4 papers)American Journal Of Pathology (4 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (3 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Nan Wu
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Hepatology 525
- Endocrine and Autonomic Systems 137
- Aging 34
- Epidemiology 522
- Cancer Research 208
Countries citing papers authored by Nan Wu
This map shows the geographic impact of Nan Wu'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 Nan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Wu more than expected).
Fields of papers citing papers by Nan Wu
This network shows the impact of papers produced by Nan Wu. 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 Nan Wu. The network helps show where Nan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Wu, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 107 | |
| 2 | 2020 | 82 | |
| 3 | 2016 | 80 | |
| 4 | 2016 | 79 | |
| 5 | 2017 | 68 | |
| 6 | 2020 | 62 | |
| 7 | 2017 | 57 | |
| 8 | 2021 | 50 | |
| 9 | 2020 | 49 | |
| 10 | 2016 | 46 | |
| 11 | 2017 | 45 | |
| 12 | 2017 | 44 | |
| 13 | 2016 | 43 | |
| 14 | 2016 | 42 | |
| 15 | 2018 | 41 | |
| 16 | 2009 | 35 | |
| 17 | 2019 | 34 | |
| 18 | 2019 | 33 | |
| 19 | 2016 | 32 | |
| 20 | 2019 | 30 |
About Nan Wu
Nan Wu is a scholar working on Hepatology, Surgery, Epidemiology, Oncology and Molecular Biology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (21 papers), Liver Disease Diagnosis and Treatment (21 papers), Pediatric Hepatobiliary Diseases and Treatments (19 papers), Liver Diseases and Immunity (13 papers), Hepatitis B Virus Studies (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Circadian rhythm and melatonin (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hepatology (525 citations), Endocrine and Autonomic Systems (137 citations), Aging (34 citations), Epidemiology (522 citations) and Cancer Research (208 citations). Nan Wu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Gianfranco Alpini, Shannon Glaser, Fanyin Meng, Tianhao Zhou, Heather Francis, Julie Venter, Lindsey Kennedy, Konstantina Kyritsi, Paolo Onori and Eugenio Gaudio. Their work appears in journals such as Hepatology, Laboratory Investigation, The FASEB Journal, American Journal Of Pathology and American Journal of Physiology-Gastrointestinal and Liver Physiology.
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.