Sushil G. Devare

2.8k citations
78 papers · 2.2k · h-index 30

Impact in

  • Virology top 0.2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 62
    • HIV/AIDS drug development and treatment 53
    • HIV/AIDS Research and Interventions 28

Sushil G. Devare

78 papers receiving 2.1k citations

Peers

Sushil G. Devare
Comparison fields: 5 of 79
  • Virology 1.7k
  • Infectious Diseases 1.5k
  • Hepatology 204
  • Epidemiology 566
  • Immunology 208
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Citations per field
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Citations per year

Countries citing papers authored by Sushil G. Devare

Since Specialization
Citations

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

Fields of papers citing papers by Sushil G. Devare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sushil G. Devare. 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 Sushil G. Devare. The network helps show where Sushil G. Devare may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009109
2 200492
3 201092
4 200589
5 200869
6 199167
7 200466
8 200163
9 200062
10 199960
11 200452
12 200551
13 200450
14 200349
15 199747
16 200646
17 200946
18 199946
19 200144
20 200641

About Sushil G. Devare

Sushil G. Devare is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Molecular Biology, having authored 78 papers that have together received 2.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (62 papers), HIV/AIDS drug development and treatment (53 papers), HIV/AIDS Research and Interventions (28 papers), T-cell and Retrovirus Studies (9 papers), Bacteriophages and microbial interactions (8 papers), Immune Cell Function and Interaction (7 papers), Blood groups and transfusion (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Virology (1.7k citations), Infectious Diseases (1.5k citations), Hepatology (204 citations), Epidemiology (566 citations) and Immunology (208 citations). Sushil G. Devare has collaborated with scholars based in United States, Germany and Cameroon. Frequent co-authors include Catherine A. Brennan, Priscilla Swanson, Gerald Schochetman, Ana Vallari, John Hackett, Julie Yamaguchi, Pierre Bodelle, Lazare Kaptué, Vera Holzmayer and John Hackett. Their work appears in journals such as AIDS Research and Human Retroviruses, Journal of Clinical Microbiology, Transfusion, Journal of Medical Virology and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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