Ali Si‐Mohamed

2.3k citations
45 papers · 1.1k · h-index 20

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 14
    • HIV/AIDS Research and Interventions 12
    • HIV Research and Treatment 19

Ali Si‐Mohamed

45 papers receiving 1.1k citations

Peers

Ali Si‐Mohamed
Comparison fields: 5 of 76
  • Virology 486
  • Infectious Diseases 517
  • Microbiology 93
  • Epidemiology 328
  • Hepatology 48
Replace Joan Dragavon with:
Joan Dragavon United States
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David Verhoeven United States
A. P. Fiddian United Kingdom
K Wagner United States
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Citations per field
00.5×1.5×2.3×
Joan Dragavon · 1×
Citations per year

Countries citing papers authored by Ali Si‐Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Ali Si‐Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Si‐Mohamed. 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 Ali Si‐Mohamed. The network helps show where Ali Si‐Mohamed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199993
2 200189
3 200881
4 200079
5 199767
6 200958
7 200651
8 200044
9 200740
10 201036
11 201131
12 200527
13 200926
14 200124
15 200623
16 200522
17 200322
18 201521
19 201221
20 200520

About Ali Si‐Mohamed

Ali Si‐Mohamed is a scholar working on Infectious Diseases, Virology, Epidemiology, Microbiology and Molecular Biology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (19 papers), HIV/AIDS drug development and treatment (14 papers), HIV/AIDS Research and Interventions (12 papers), Cervical Cancer and HPV Research (8 papers), Herpesvirus Infections and Treatments (7 papers), Hepatitis B Virus Studies (4 papers), Reproductive tract infections research (4 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Virology (486 citations), Infectious Diseases (517 citations), Microbiology (93 citations), Epidemiology (328 citations) and Hepatology (48 citations). Ali Si‐Mohamed has collaborated with scholars based in France, United Kingdom and Gabon. Frequent co-authors include Laurent Bélec, Laurence Weiss, Michel D. Kazatchkine, Christophe Piketty, Jérôme LeGoff, Charlotte Charpentier, Marina Karmochkine, Philippe Castiel, Didier Laureillard and Pascaline Tisserand. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases, AIDS, Journal of Clinical Virology and Journal of Medical Virology.

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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