Daniel S. Hwang
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- Viral Infections and Vectors
Papers in
- Virology 10
- HIV Research and Treatment 10
- Immunology 10
- interferon and immune responses 4
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Co-authors
- David B. Weiner (16 shared papers)Kar Muthumani (16 shared papers)Andrew Y. Choo (11 shared papers)Brijal Desai (3 shared papers)Douglas R. Green (2 shared papers)Donghui Zhang (1 shared paper)Premkumar Arumugam (5 shared papers)Kesen Dang (2 shared papers)
- Journals
- DNA and Cell Biology (2 papers)Molecular Therapy (1 paper)Journal of Medical Primatology (1 paper)Retrovirology (1 paper)Protein Science (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel S. Hwang
20 papers receiving 874 citations
Peers
Comparison fields: 5 of 73
- Virology 392
- Infectious Diseases 278
- Immunology 309
- Ophthalmology 67
- Public Health, Environmental and Occupational Health 151
Countries citing papers authored by Daniel S. Hwang
This map shows the geographic impact of Daniel S. Hwang'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 Daniel S. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Hwang more than expected).
Fields of papers citing papers by Daniel S. Hwang
This network shows the impact of papers produced by Daniel S. Hwang. 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 Daniel S. Hwang. The network helps show where Daniel S. Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Hwang, 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 | 2002 | 124 | |
| 2 | 2002 | 108 | |
| 3 | 2009 | 102 | |
| 4 | 2001 | 73 | |
| 5 | 2003 | 59 | |
| 6 | 2006 | 57 | |
| 7 | 2002 | 50 | |
| 8 | 2010 | 49 | |
| 9 | 2005 | 42 | |
| 10 | 2005 | 41 | |
| 11 | 2004 | 35 | |
| 12 | 2003 | 35 | |
| 13 | 2008 | 32 | |
| 14 | 2004 | 24 | |
| 15 | 2002 | 19 | |
| 16 | 2002 | 17 | |
| 17 | 2004 | 15 | |
| 18 | 2005 | 8 | |
| 19 | 2006 | 2 | |
| 20 | Management of Postpartum Hemorrhage: Recommendations From FIGO. | 2023 | 1 |
About Daniel S. Hwang
Daniel S. Hwang is a scholar working on Virology, Immunology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 20 papers that have together received 893 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Hepatitis B Virus Studies (5 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (3 papers), NF-κB Signaling Pathways (3 papers), HIV/AIDS drug development and treatment (3 papers), Immune Cell Function and Interaction (3 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Virology (392 citations), Infectious Diseases (278 citations), Immunology (309 citations), Ophthalmology (67 citations) and Public Health, Environmental and Occupational Health (151 citations). Daniel S. Hwang has collaborated with scholars based in United States. Frequent co-authors include David B. Weiner, Kar Muthumani, Andrew Y. Choo, Brijal Desai, Douglas R. Green, Donghui Zhang, Premkumar Arumugam, Kesen Dang, Mathura P. Ramanathan and Mark D. Lee. Their work appears in journals such as DNA and Cell Biology, Molecular Therapy, Journal of Medical Primatology, Retrovirology and Protein Science.
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.