Hong‐Min Ni
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 1%
- Pharmacology top 0.2%
- Pharmacology top 1%
- Co-authors
- Wen‐Xing DingJessica A. WilliamsHartmut JaeschkeXiaojuan ChaoShaogui WangMitchell R. McGillYuan LiSharon Manley
- Topics
- Autophagy in Disease and Therapy (40 papers)Liver Disease Diagnosis and Treatment (21 papers)Alcohol Consumption and Health Effects (17 papers)
- Cited by
- PharmacologyEpidemiologyHepatology
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaItaly
In The Last Decade
Hong‐Min Ni
73 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Epidemiology 2.7k
- Molecular Biology 1.9k
- Pathology and Forensic Medicine 805
- Pharmacology 781
- Pharmacology 639
Countries citing papers authored by Hong‐Min Ni
This map shows the geographic impact of Hong‐Min Ni'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 Hong‐Min Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐Min Ni more than expected).
Fields of papers citing papers by Hong‐Min Ni
This network shows the impact of papers produced by Hong‐Min Ni. 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 Hong‐Min Ni. The network helps show where Hong‐Min Ni may publish in the future.
Co-authorship network of co-authors of Hong‐Min Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Min Ni. A scholar is included among the top collaborators of Hong‐Min Ni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong‐Min Ni. Hong‐Min Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 19 | |
| 7 | 54 | |
| 8 | 21 | |
| 9 | 46 | |
| 10 | 26 | |
| 11 | 59 | |
| 12 | 49 | |
| 13 | 15 | |
| 14 | 87 | |
| 15 | Mitochondrial Dynamics, Mitophagy and Mitochondrial Spheroids in Drug-Induced Liver Injury | 1 |
| 16 | 49 | |
| 17 | 94 | |
| 18 | Autophagy Reduces Acute Ethanol-Induced Hepatotoxicity and Steatosis in Micebreakdown → | 423 |
| 19 | 87 | |
| 20 | 12 |
About Hong‐Min Ni
Hong‐Min Ni is a scholar working on Pharmacology, Epidemiology and Hepatology, having authored 73 papers that have together received 4.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (40 papers), Liver Disease Diagnosis and Treatment (21 papers) and Alcohol Consumption and Health Effects (17 papers). The work is most often cited by research in Pharmacology (781 citations), Epidemiology (2.7k citations) and Hepatology (507 citations). Hong‐Min Ni has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Wen‐Xing Ding, Jessica A. Williams, Hartmut Jaeschke, Xiaojuan Chao, Shaogui Wang, Mitchell R. McGill, Yuan Li, Sharon Manley, Kuo Du and Yuchao Xie. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.