Stephen H. Hughes

29.5k citations
374 papers · 21.1k indexed · 6 hit papers · h-index 79

Stephen H. Hughes

363 papers receiving 20.3k citations

Hit Papers

Revers...1621978202619942010200400600

Peers

Stephen H. Hughes
Comparison fields: 5 of 176
  • Virology 9.3k
  • Infectious Diseases 9.3k
  • Molecular Biology 11.3k
  • Genetics 3.0k
  • Epidemiology 2.9k
Replace Naoki Yamamoto with:
Naoki Yamamoto Japan
Dominique Schols Belgium
John H. Elder United States
Warner C. Greene United States
Hermann Katinger Austria
David A. Jans Australia
John J. Rossi United States
Louis E. Henderson United States
Jianping Ding China
Robert H. Silverman United States
Stephen H. Hughes relative to Naoki Yamamoto Japan Naoki Yamamoto's profile →
Citations per field
00.5×1.5×2.0×
Naoki Yamamoto · 1×
Citations per year

Countries citing papers authored by Stephen H. Hughes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen H. Hughes Line = papers co-authored together Stephen H. Hughes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 202317
4
Reverse-transcribed SARS-CoV-2 RNA can integrate into the genome of cultured human cells and can be expressed in patient-derived tissuesbreakdown →
2021162
5 20211
6 202110
7 202110
8 202124
9 202136
10 202087
11 201926
12
Specific HIV integration sites are linked to clonal expansion and persistence of infected cellsbreakdown →
2014598
13 2010188
14 200971
15
Differential regulation of vitamin D receptor and its ligand in human dendritic cells: A paracrine mechanism for regulation of antigen presentation
20031
16 1996159
17 199417
18 199068
19 19821
20 19821

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.

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