Ming Ding
Impact in
- Virology top 1%
- HIV Research and Treatment
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
- Virology 16
- HIV Research and Treatment 16
-
- Plant Virus Research Studies 13
- Plant Disease Resistance and Genetics 3
- Plant Pathogenic Bacteria Studies 2
- Co-authors
- Phalguni Gupta (17 shared papers)Lawrence Kingsley (4 shared papers)Charles R. Rinaldo (5 shared papers)Yue Chen (8 shared papers)Bruce K. Patterson (5 shared papers)Zhongkai Zhang (6 shared papers)Xueping Zhou (5 shared papers)Ronald C. Montelaro (3 shared papers)
- Journals
- Virology (4 papers)Archives of Virology (3 papers)AIDS Research and Human Retroviruses (3 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Ming Ding
31 papers receiving 805 citations
Peers
Comparison fields: 5 of 67
- Virology 411
- Endocrinology 86
- Infectious Diseases 290
- Horticulture 9
- Plant Science 247
Countries citing papers authored by Ming Ding
This map shows the geographic impact of Ming 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 Ming Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ding more than expected).
Fields of papers citing papers by Ming Ding
This network shows the impact of papers produced by Ming 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 Ming Ding. The network helps show where Ming Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 124 | |
| 2 | 2015 | 96 | |
| 3 | 2001 | 87 | |
| 4 | 2007 | 78 | |
| 5 | 2008 | 65 | |
| 6 | 1993 | 60 | |
| 7 | 2017 | 58 | |
| 8 | 2009 | 32 | |
| 9 | 2004 | 31 | |
| 10 | 2011 | 22 | |
| 11 | 2016 | 22 | |
| 12 | 2021 | 15 | |
| 13 | 2011 | 13 | |
| 14 | 2012 | 11 | |
| 15 | 2010 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2009 | 9 | |
| 19 | 2012 | 9 | |
| 20 | 2012 | 9 |
About Ming Ding
Ming Ding is a scholar working on Virology, Plant Science, Infectious Diseases, Endocrinology and Insect Science, having authored 34 papers that have together received 822 indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Plant Virus Research Studies (13 papers), HIV/AIDS Research and Interventions (9 papers), Plant and Fungal Interactions Research (8 papers), HIV/AIDS drug development and treatment (7 papers), Plant Disease Resistance and Genetics (3 papers), Insect-Plant Interactions and Control (3 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Virology (411 citations), Endocrinology (86 citations), Infectious Diseases (290 citations), Horticulture (9 citations) and Plant Science (247 citations). Ming Ding has collaborated with scholars based in United States, China and India. Frequent co-authors include Phalguni Gupta, Lawrence Kingsley, Charles R. Rinaldo, Yue Chen, Bruce K. Patterson, Zhongkai Zhang, Xueping Zhou, Ronald C. Montelaro, Ramdas Chatterjee and Jiahong Dong. Their work appears in journals such as Virology, Archives of Virology, AIDS Research and Human Retroviruses, JAIDS Journal of Acquired Immune Deficiency Syndromes and PLoS ONE.
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.