Ming Zeng
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in ⓘ
- Virology 7
- HIV Research and Treatment 7
- Immunology 10
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Harry R. Davis (2 shared papers)Andrei Golovko (2 shared papers)Nicholas Murgolo (2 shared papers)Glen Tetzloff (2 shared papers)Lizbeth Hoos (2 shared papers)Maureen Maguire (1 shared paper)Michael P. Graziano (1 shared paper)Luquan Wang (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)ACS Omega (2 papers)Optics Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biomedical Signal Processing and Control (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Zeng
37 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Virology 498
- Immunology 677
- Surgery 1.2k
- Oncology 744
- Infectious Diseases 400
Countries citing papers authored by Ming Zeng
This map shows the geographic impact of Ming Zeng'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 Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zeng more than expected).
Fields of papers citing papers by Ming Zeng
This network shows the impact of papers produced by Ming Zeng. 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 Zeng. The network helps show where Ming Zeng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Zeng, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Niemann-Pick C1 Like 1 Protein Is Critical for Intestinal Cholesterol Absorption Hit paper breakdown → | 2004 | 1393 |
| 2 | 2011 | 238 | |
| 3 | 2006 | 229 | |
| 4 | 2003 | 144 | |
| 5 | 2008 | 126 | |
| 6 | 2012 | 126 | |
| 7 | 2002 | 120 | |
| 8 | 2014 | 114 | |
| 9 | 2020 | 111 | |
| 10 | 2012 | 78 | |
| 11 | 2015 | 71 | |
| 12 | 2012 | 58 | |
| 13 | 2022 | 50 | |
| 14 | 2017 | 40 | |
| 15 | Ionizing radiation-induced apoptosis via separate Pms2- and p53-dependent pathways. | 2000 | 40 |
| 16 | 2009 | 36 | |
| 17 | 2018 | 23 | |
| 18 | A randomized double-blind placebo-controlled study of lamivudine in the treatment of patients with chronic hepatitis B virus infection. | 1999 | 18 |
| 19 | 2023 | 16 | |
| 20 | 2015 | 13 |
About Ming Zeng
Ming Zeng is a scholar working on Virology, Immunology, Hepatology, Energy Engineering and Power Technology and Signal Processing, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), ECG Monitoring and Analysis (4 papers), Hepatitis B Virus Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Virology (498 citations), Immunology (677 citations), Surgery (1.2k citations), Oncology (744 citations) and Infectious Diseases (400 citations). Ming Zeng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Harry R. Davis, Andrei Golovko, Nicholas Murgolo, Glen Tetzloff, Lizbeth Hoos, Maureen Maguire, Michael P. Graziano, Luquan Wang, Li-Ji Zhu and Xiaorui Yao. Their work appears in journals such as The Journal of Immunology, ACS Omega, Optics Letters, Proceedings of the National Academy of Sciences and Biomedical Signal Processing and Control.
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.