Ming Jin
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Plant-based Medicinal Research 2
- Surgery 3
- Anesthesia and Pain Management 2
- Co-authors
- Hye Hyun Yoo (2 shared papers)Moon Kyo In (2 shared papers)Keane K. Y. Lai (1 shared paper)Jason A. Dominitz (1 shared paper)Shan Yuan (1 shared paper)Daniel D. Bankson (1 shared paper)Jaeick Lee (1 shared paper)Jiangeng Huang (2 shared papers)
- Journals
- Journal of Forensic Sciences (2 papers)Biological Psychiatry (1 paper)British Journal of Cancer (1 paper)Medicine (1 paper)Frontiers in bioscience (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ming Jin
18 papers receiving 431 citations
Peers
Comparison fields: 5 of 94
- Nephrology 194
- Toxicology 27
- Pathology and Forensic Medicine 93
- Biological Psychiatry 12
- Hepatology 33
Countries citing papers authored by Ming Jin
This map shows the geographic impact of Ming Jin'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 Ming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jin more than expected).
Fields of papers citing papers by Ming Jin
This network shows the impact of papers produced by Ming Jin. 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 Ming Jin. The network helps show where Ming Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Jin, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 291 | |
| 2 | 2011 | 28 | |
| 3 | 2020 | 25 | |
| 4 | 2008 | 21 | |
| 5 | 2012 | 17 | |
| 6 | 2022 | 12 | |
| 7 | 2015 | 9 | |
| 8 | 2011 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2013 | 7 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | [Separation and determination of aconitine in medicine wine by reversed-phase high performance liquid chromatography]. | 2005 | 1 |
| 18 | Inducible Expression of bcl-2 Antisense RNA Promotes Apoptosis of Human Gastric Cancer Cell Line. | 1999 | 1 |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ming Jin
Ming Jin is a scholar working on Pharmacology, Surgery, Pathology and Forensic Medicine, Pharmacology and Psychiatry and Mental health, having authored 21 papers that have together received 442 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Psychedelics and Drug Studies (2 papers), Anesthesia and Pain Management (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Plant-based Medicinal Research (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Nephrology (194 citations), Toxicology (27 citations), Pathology and Forensic Medicine (93 citations), Biological Psychiatry (12 citations) and Hepatology (33 citations). Ming Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hye Hyun Yoo, Moon Kyo In, Keane K. Y. Lai, Jason A. Dominitz, Shan Yuan, Daniel D. Bankson, Jaeick Lee, Jiangeng Huang, Toshinari Minamoto and Hua Wang. Their work appears in journals such as Journal of Forensic Sciences, Biological Psychiatry, British Journal of Cancer, Medicine and Frontiers in bioscience.
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.