Haitao Ding
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 18
- HIV Research and Treatment 18
- Co-authors
- John C. Kappes (26 shared papers)Christina Ochsenbauer (6 shared papers)Tara G. Edmonds (3 shared papers)Beatrice H. Hahn (3 shared papers)George M. Shaw (2 shared papers)Ming Luo (5 shared papers)Todd J. Green (3 shared papers)Yuhua Zhao (4 shared papers)
- Journals
- Journal of Virology (12 papers)Journal of Hazardous Materials (3 papers)IEEE Sensors Journal (2 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Haitao Ding
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Virology 772
- Immunology 388
- Infectious Diseases 281
- Pollution 178
- Epidemiology 234
Countries citing papers authored by Haitao Ding
This map shows the geographic impact of Haitao Ding'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 Haitao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haitao Ding more than expected).
Fields of papers citing papers by Haitao Ding
This network shows the impact of papers produced by Haitao Ding. 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 Haitao Ding. The network helps show where Haitao Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Haitao Ding, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 255 | |
| 2 | 2013 | 146 | |
| 3 | 2010 | 126 | |
| 4 | 2021 | 97 | |
| 5 | 2008 | 87 | |
| 6 | 2006 | 86 | |
| 7 | 2015 | 81 | |
| 8 | 2017 | 66 | |
| 9 | 2012 | 46 | |
| 10 | 2002 | 37 | |
| 11 | 2010 | 32 | |
| 12 | 2020 | 29 | |
| 13 | 2015 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2008 | 23 | |
| 17 | 2014 | 23 | |
| 18 | 2011 | 21 | |
| 19 | 2015 | 19 | |
| 20 | 2004 | 19 |
About Haitao Ding
Haitao Ding is a scholar working on Virology, Molecular Biology, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Epidemiology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), Advanced MEMS and NEMS Technologies (8 papers), Mechanical and Optical Resonators (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), HIV/AIDS drug development and treatment (5 papers), Acoustic Wave Resonator Technologies (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Cystic Fibrosis Research Advances (4 papers). The work is most often cited by research in Virology (772 citations), Immunology (388 citations), Infectious Diseases (281 citations), Pollution (178 citations) and Epidemiology (234 citations). Haitao Ding has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John C. Kappes, Christina Ochsenbauer, Tara G. Edmonds, Beatrice H. Hahn, George M. Shaw, Ming Luo, Todd J. Green, Yuhua Zhao, Shanyun Lu and Barton F. Haynes. Their work appears in journals such as Journal of Virology, Journal of Hazardous Materials, IEEE Sensors Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes and Applied Microbiology and Biotechnology.
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.