Stéphane Hué

9.3k citations
77 papers · 3.9k indexed · 1 hit paper · h-index 30

Stéphane Hué

77 papers receiving 3.8k citations

Hit Papers

Human MX2 is an interferon-induced post-entry inhibitor o...4432013202620172021100200300400

Peers

Stéphane Hué
Comparison fields: 5 of 106
  • Virology 2.8k
  • Infectious Diseases 1.9k
  • Immunology 833
  • Epidemiology 1.4k
  • Hepatology 191
Replace Fabrizio Mammano with:
Fabrizio Mammano France
Frank de Wolf Netherlands
Michel Perron United States
Jürg Böni Switzerland
Ruth I. Connor United States
Silvija I. Staprans United States
Yaming Cao United States
Mary F. Kearney United States
Vladimir Novitsky United States
Shan‐Lu Liu United States
Stéphane Hué relative to Fabrizio Mammano France Fabrizio Mammano's profile →
Citations per field
00.5×4.0×
Fabrizio Mammano · 1×
Citations per year

Countries citing papers authored by Stéphane Hué

Since Specialization
Citations

This map shows the geographic impact of Stéphane Hué'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 Stéphane Hué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Hué more than expected).

Fields of papers citing papers by Stéphane Hué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphane Hué. 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 Stéphane Hué. The network helps show where Stéphane Hué may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stéphane Hué, 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 Stéphane Hué Line = papers co-authored together Stéphane Hué links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20213
3 20208
4 201813
5 20189
6 20188
7 201719
8 20162
9 201543
10 20158
11 201317
12 20126
13 201122
14 20116
15 201153
16 201126
17 200987
18 2007165
19 200715
20 200334

About Stéphane Hué

Stéphane Hué is a scholar working on Virology, Infectious Diseases, Epidemiology, Hepatology and Immunology, having authored 77 papers that have together received 3.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (61 papers), HIV/AIDS Research and Interventions (35 papers), HIV/AIDS drug development and treatment (29 papers), Immune Cell Function and Interaction (10 papers), Herpesvirus Infections and Treatments (8 papers), HIV, Drug Use, Sexual Risk (8 papers), Mosquito-borne diseases and control (7 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Virology (2.8k citations), Infectious Diseases (1.9k citations), Immunology (833 citations), Epidemiology (1.4k citations) and Hepatology (191 citations). Stéphane Hué has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Deenan Pillay, Torsten Schaller, Greg J. Towers, Jonathan P. Clewley, Paul Kellam, Geoffrey L. Smith, Caroline Gubser Keller, Patricia A. Cane, Oliver G. Pybus and Valérie Delpech. Their work appears in journals such as AIDS, Journal of Virology, Retrovirology, AIDS Research and Human Retroviruses and PLoS Pathogens.

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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