Stephen H. Hughes
- Virology top 0.02%
- HIV Research and Treatment 195
- Infectious Diseases top 0.05%
- HIV/AIDS drug development and treatment 194
- HIV/AIDS Research and Interventions 59
- Molecular Biology top 0.2%
- Biochemical and Molecular Research 51
- CRISPR and Genetic Engineering 36
- Genetics top 0.5%
- Virus-based gene therapy research 51
- Epidemiology top 0.5%
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- Plant Virus Research Studies 27
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- Animal Virus Infections Studies 26
- Co-authors
- Eddy ArnoldPaul L. BoyerStefan G. SarafianosKalyan DasAndrea L. FerrisArthur D. ClarkChristos J. PetropoulosP Sutrave
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Stephen H. Hughes
363 papers receiving 20.3k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Virology 9.3k
- Infectious Diseases 9.3k
- Molecular Biology 11.3k
- Genetics 3.0k
- Epidemiology 2.9k
Countries citing papers authored by Stephen H. Hughes
This map shows the geographic impact of Stephen H. Hughes'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 Stephen H. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen H. Hughes more than expected).
Fields of papers citing papers by Stephen H. Hughes
This network shows the impact of papers produced by Stephen H. Hughes. 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 Stephen H. Hughes. The network helps show where Stephen H. Hughes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen H. Hughes, 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 | 2023 | 3 | |
| 3 | 2023 | 17 | |
| 4 | Reverse-transcribed SARS-CoV-2 RNA can integrate into the genome of cultured human cells and can be expressed in patient-derived tissuesbreakdown → | 2021 | 162 |
| 5 | 2021 | 1 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 36 | |
| 10 | 2020 | 87 | |
| 11 | 2019 | 26 | |
| 12 | Specific HIV integration sites are linked to clonal expansion and persistence of infected cellsbreakdown → | 2014 | 598 |
| 13 | 2010 | 188 | |
| 14 | 2009 | 71 | |
| 15 | Differential regulation of vitamin D receptor and its ligand in human dendritic cells: A paracrine mechanism for regulation of antigen presentation | 2003 | 1 |
| 16 | 1996 | 159 | |
| 17 | 1994 | 17 | |
| 18 | 1990 | 68 | |
| 19 | 1982 | 1 | |
| 20 | 1982 | 1 |
About Stephen H. Hughes
Stephen H. Hughes is a scholar working on Virology, Infectious Diseases and Molecular Biology, having authored 374 papers that have together received 21.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (195 papers), HIV/AIDS drug development and treatment (194 papers), HIV/AIDS Research and Interventions (59 papers), Biochemical and Molecular Research (51 papers), Virus-based gene therapy research (51 papers), CRISPR and Genetic Engineering (36 papers), Plant Virus Research Studies (27 papers) and Animal Virus Infections Studies (26 papers). The work is most often cited by research in Virology (9.3k citations), Infectious Diseases (9.3k citations) and Molecular Biology (11.3k citations). Stephen H. Hughes has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Eddy Arnold, Paul L. Boyer, Stefan G. Sarafianos, Kalyan Das, Andrea L. Ferris, Arthur D. Clark, Christos J. Petropoulos, P Sutrave, Harold Varmus and Mariano Barbacid. Their work appears in journals such as Nature, Science and Cell.
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.