Dongwei Kang
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- HIV/AIDS drug development and treatment 104
- Virology 93
- HIV Research and Treatment 92
- Co-authors
- Xinyong Liu (131 shared papers)Peng Zhan (112 shared papers)Christophe Pannecouque (89 shared papers)Erik De Clercq (88 shared papers)Gaochan Wu (22 shared papers)Boshi Huang (33 shared papers)Xiangyi Jiang (26 shared papers)Lanlan Jing (20 shared papers)
- Journals
- European Journal of Medicinal Chemistry (28 papers)Journal of Medicinal Chemistry (27 papers)Bioorganic & Medicinal Chemistry (9 papers)Acta Pharmaceutica Sinica B (8 papers)Molecules (6 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Dongwei Kang
140 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 112
- Virology 1.2k
- Infectious Diseases 1.8k
- Organic Chemistry 1.4k
- Epidemiology 953
- Computational Theory and Mathematics 327
Countries citing papers authored by Dongwei Kang
This map shows the geographic impact of Dongwei Kang'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 Dongwei Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongwei Kang more than expected).
Fields of papers citing papers by Dongwei Kang
This network shows the impact of papers produced by Dongwei Kang. 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 Dongwei Kang. The network helps show where Dongwei Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongwei Kang, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 229 | |
| 2 | 2019 | 201 | |
| 3 | 2019 | 124 | |
| 4 | 2021 | 124 | |
| 5 | 2016 | 117 | |
| 6 | 2020 | 93 | |
| 7 | 2021 | 93 | |
| 8 | 2017 | 84 | |
| 9 | 2018 | 80 | |
| 10 | 2019 | 75 | |
| 11 | 2019 | 71 | |
| 12 | 2018 | 61 | |
| 13 | 2017 | 61 | |
| 14 | 2017 | 60 | |
| 15 | 2020 | 59 | |
| 16 | 2014 | 56 | |
| 17 | 2018 | 55 | |
| 18 | 2019 | 53 | |
| 19 | 2019 | 51 | |
| 20 | 2022 | 49 |
About Dongwei Kang
Dongwei Kang is a scholar working on Infectious Diseases, Virology, Epidemiology, Molecular Biology and Organic Chemistry, having authored 151 papers that have together received 3.7k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (104 papers), HIV Research and Treatment (92 papers), Pneumocystis jirovecii pneumonia detection and treatment (46 papers), Click Chemistry and Applications (29 papers), Computational Drug Discovery Methods (14 papers), Biochemical and Molecular Research (13 papers), Hepatitis C virus research (11 papers) and Chemical Synthesis and Analysis (9 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (1.8k citations), Organic Chemistry (1.4k citations), Epidemiology (953 citations) and Computational Theory and Mathematics (327 citations). Dongwei Kang has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Xinyong Liu, Peng Zhan, Christophe Pannecouque, Erik De Clercq, Gaochan Wu, Boshi Huang, Xiangyi Jiang, Lanlan Jing, Zhongxia Zhou and Dirk Daelemans. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Acta Pharmaceutica Sinica B and Molecules.
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.