Man Li
Impact in
- Hepatology top 5%
- Pharmacology top 5%
Papers in
- Epidemiology 24
- Liver Disease Diagnosis and Treatment 10
- Hepatitis B Virus Studies 9
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- Gut microbiota and health 3
- Co-authors
- Yueqiu Gao (35 shared papers)Zhuo Yu (16 shared papers)Yan Xue (1 shared paper)Yong He (5 shared papers)Xuehua Sun (18 shared papers)Zhenhua Zhou (14 shared papers)Longshan Ji (13 shared papers)Haixia Cao (2 shared papers)
- Journals
- Phytomedicine (4 papers)Journal of Immunology Research (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Journal of Ethnopharmacology (3 papers)Journal of Ultrasound in Medicine (2 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Man Li
95 papers receiving 1.8k citations
Man Li's Hit Papers
Peers
Comparison fields: 5 of 109
- Hepatology 142
- Pharmacology 125
- Epidemiology 452
- Cancer Research 170
- Geriatrics and Gerontology 38
Countries citing papers authored by Man Li
This map shows the geographic impact of Man Li'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 Man Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Li more than expected).
Fields of papers citing papers by Man Li
This network shows the impact of papers produced by Man Li. 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 Man Li. The network helps show where Man Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Man Li, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 186 | |
| 2 | 2020 | 168 | |
| 3 | Potential screening indicators for early diagnosis of NAFLD/MAFLD and liver fibrosis: Triglyceride glucose index–related parameters Hit paper breakdown → | 2022 | 139 |
| 4 | 2017 | 116 | |
| 5 | 2020 | 102 | |
| 6 | 2022 | 96 | |
| 7 | 2022 | 88 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 40 | |
| 10 | 2020 | 39 | |
| 11 | 2020 | 37 | |
| 12 | 2011 | 35 | |
| 13 | 2022 | 35 | |
| 14 | 2018 | 28 | |
| 15 | 2024 | 27 | |
| 16 | 2024 | 26 | |
| 17 | 2024 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2020 | 23 | |
| 20 | 2016 | 23 |
About Man Li
Man Li is a scholar working on Epidemiology, Molecular Biology, Hepatology, Pharmacology and Immunology, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (9 papers), Wound Healing and Treatments (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Hepatitis C virus research (5 papers), Gut microbiota and health (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Hepatology (142 citations), Pharmacology (125 citations), Epidemiology (452 citations), Cancer Research (170 citations) and Geriatrics and Gerontology (38 citations). Man Li has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Yueqiu Gao, Zhuo Yu, Yan Xue, Yong He, Xuehua Sun, Zhenhua Zhou, Longshan Ji, Haixia Cao, Teresa González Ramírez and Yan Cai. Their work appears in journals such as Phytomedicine, Journal of Immunology Research, Evidence-based Complementary and Alternative Medicine, Journal of Ethnopharmacology and Journal of Ultrasound in Medicine.
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.