Minghua Su
Impact in
- Pharmacology top 10%
- Biological and pharmacological studies of plants
- Pharmacological Effects of Natural Compounds
- Drug-Induced Hepatotoxicity and Protection
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 3
-
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Huihua Li (7 shared papers)Qingxi Chen (3 shared papers)Qiang Chang (2 shared papers)Wei Wang (2 shared papers)Qiang Chang (5 shared papers)Wei Wang (1 shared paper)Zhongxiong Lai (1 shared paper)Jianning Jiang (9 shared papers)
- Journals
- Journal of Hepatology (2 papers)Anticancer Research (2 papers)Apmis (1 paper)PeerJ (1 paper)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Minghua Su
25 papers receiving 383 citations
Peers
Comparison fields: 5 of 62
- Pharmacology 69
- Hepatology 49
- Pharmacology 76
- Biochemistry 25
- Complementary and alternative medicine 32
Countries citing papers authored by Minghua Su
This map shows the geographic impact of Minghua Su'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 Minghua Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghua Su more than expected).
Fields of papers citing papers by Minghua Su
This network shows the impact of papers produced by Minghua Su. 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 Minghua Su. The network helps show where Minghua Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghua Su, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2017 | 89 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 30 | |
| 5 | 2020 | 25 | |
| 6 | 2017 | 24 | |
| 7 | 2024 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2008 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2015 | 2 |
About Minghua Su
Minghua Su is a scholar working on Epidemiology, Molecular Biology, Plant Science, Hepatology and Infectious Diseases, having authored 29 papers that have together received 389 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis C virus research (3 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), COVID-19 Clinical Research Studies (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Pharmacology (69 citations), Hepatology (49 citations), Pharmacology (76 citations), Biochemistry (25 citations) and Complementary and alternative medicine (32 citations). Minghua Su has collaborated with scholars based in China and United States. Frequent co-authors include Huihua Li, Qingxi Chen, Qiang Chang, Wei Wang, Qiang Chang, Wei Wang, Zhongxiong Lai, Jianning Jiang, Rongming Wang and Qing‐Xi Chen. Their work appears in journals such as Journal of Hepatology, Anticancer Research, Apmis, PeerJ and Carbohydrate Polymers.
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.