Ji‐Xing Nan
Impact in
- Pharmacology top 0.2%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
- Hepatology top 1%
- Liver physiology and pathology
Papers in
- Epidemiology 44
- Liver Disease Diagnosis and Treatment 41
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- Natural product bioactivities and synthesis 9
- Co-authors
- Yan‐Ling Wu (87 shared papers)Li‐Hua Lian (84 shared papers)Dong Hwan Sohn (16 shared papers)Ting Bai (14 shared papers)Eun‐Jeon Park (13 shared papers)Ying Wan (11 shared papers)Quan Jin (15 shared papers)Ying‐Zi Jiang (6 shared papers)
- Journals
- International Immunopharmacology (10 papers)Journal of Pharmacy and Pharmacology (8 papers)Journal of Ethnopharmacology (8 papers)Chemico-Biological Interactions (7 papers)Journal of Agricultural and Food Chemistry (7 papers)
- Partner nations
- ChinaSouth KoreaJapan
In The Last Decade
Ji‐Xing Nan
121 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 113
- Pharmacology 733
- Hepatology 520
- Complementary and alternative medicine 398
- Epidemiology 743
- Toxicology 79
Countries citing papers authored by Ji‐Xing Nan
This map shows the geographic impact of Ji‐Xing Nan'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 Ji‐Xing Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Xing Nan more than expected).
Fields of papers citing papers by Ji‐Xing Nan
This network shows the impact of papers produced by Ji‐Xing Nan. 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 Ji‐Xing Nan. The network helps show where Ji‐Xing Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji‐Xing Nan, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2016 | 93 | |
| 3 | 2016 | 90 | |
| 4 | 2018 | 87 | |
| 5 | 2014 | 84 | |
| 6 | 2008 | 83 | |
| 7 | 2001 | 68 | |
| 8 | 2002 | 65 | |
| 9 | 2010 | 65 | |
| 10 | 2003 | 64 | |
| 11 | 2002 | 62 | |
| 12 | 2020 | 58 | |
| 13 | 2018 | 57 | |
| 14 | 2001 | 55 | |
| 15 | 2010 | 53 | |
| 16 | 2019 | 51 | |
| 17 | 2009 | 51 | |
| 18 | 2009 | 50 | |
| 19 | 2003 | 49 | |
| 20 | 2020 | 49 |
About Ji‐Xing Nan
Ji‐Xing Nan is a scholar working on Epidemiology, Molecular Biology, Hepatology, Pharmacology and Pathology and Forensic Medicine, having authored 122 papers that have together received 3.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (41 papers), Liver physiology and pathology (34 papers), Drug-Induced Hepatotoxicity and Protection (20 papers), Alcohol Consumption and Health Effects (17 papers), Natural product bioactivities and synthesis (9 papers), NF-κB Signaling Pathways (7 papers), Liver Diseases and Immunity (7 papers) and Liver Disease and Transplantation (7 papers). The work is most often cited by research in Pharmacology (733 citations), Hepatology (520 citations), Complementary and alternative medicine (398 citations), Epidemiology (743 citations) and Toxicology (79 citations). Ji‐Xing Nan has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Yan‐Ling Wu, Li‐Hua Lian, Dong Hwan Sohn, Ting Bai, Eun‐Jeon Park, Ying Wan, Quan Jin, Ying‐Zi Jiang, Ben‐Wen Cui and Jung Joon Lee. Their work appears in journals such as International Immunopharmacology, Journal of Pharmacy and Pharmacology, Journal of Ethnopharmacology, Chemico-Biological Interactions and Journal of Agricultural and Food Chemistry.
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.