Nanhai He
Impact in
- Virology top 1%
- HIV Research and Treatment
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
Papers in
- Virology 5
- HIV Research and Treatment 5
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Qiang ZhouZhiyuan YangRuichuan ChenKeiko OzatoJasper H. N. YikMoon Kyoo JangMin LiuYuhua Xue
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Molecular Cell (3 papers)Molecular and Cellular Biology (2 papers)Methods (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Nanhai He
19 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Virology 581
- Molecular Biology 2.2k
- Hematology 317
- Immunology 514
- Infectious Diseases 291
Countries citing papers authored by Nanhai He
This map shows the geographic impact of Nanhai He'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 Nanhai He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanhai He more than expected).
Fields of papers citing papers by Nanhai He
This network shows the impact of papers produced by Nanhai He. 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 Nanhai He. The network helps show where Nanhai He may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanhai He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 40 | |
| 5 | 2018 | 154 | |
| 6 | 2018 | 61 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 117 | |
| 9 | 2017 | 104 | |
| 10 | 2011 | 47 | |
| 11 | 2011 | 156 | |
| 12 | 2010 | 44 | |
| 13 | 2010 | 321 | |
| 14 | 2008 | 202 | |
| 15 | 2008 | 7 | |
| 16 | 2008 | 49 | |
| 17 | 2008 | 141 | |
| 18 | 2007 | 285 | |
| 19 | 2006 | 85 | |
| 20 | Recruitment of P-TEFb for Stimulation of Transcriptional Elongation by the Bromodomain Protein Brd4 Hit paper breakdown → | 2005 | 900 |
About Nanhai He
Nanhai He is a scholar working on Virology, Immunology, Molecular Biology, Cancer Research and Insect Science, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Genomics and Chromatin Dynamics (7 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (5 papers), RNA Research and Splicing (5 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Virology (581 citations), Molecular Biology (2.2k citations), Hematology (317 citations), Immunology (514 citations) and Infectious Diseases (291 citations). Nanhai He has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Qiang Zhou, Zhiyuan Yang, Ruichuan Chen, Keiko Ozato, Jasper H. N. Yik, Moon Kyoo Jang, Min Liu, Yuhua Xue, Tom Alber and Seemay Chou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Molecular and Cellular Biology, Methods and Genes & Development.
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.