Jonathan Toma

1.1k citations
21 papers · 865 · h-index 13

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 19
    • HIV/AIDS drug development and treatment 14
    • HIV/AIDS Research and Interventions 6

Jonathan Toma

21 papers receiving 838 citations

Peers

Jonathan Toma
Comparison fields: 5 of 54
  • Virology 778
  • Infectious Diseases 566
  • Immunology 228
  • Hepatology 46
  • Epidemiology 149
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Awet Abraha United States
Mia Coetzer United States
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Elly Baan Netherlands
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Tonie Cilliers South Africa
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Jingyun Li China
Marlén M. I. Aasa-Chapman United Kingdom
Richard D. Sloan Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Toma

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Toma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006268
2 2007130
3 200988
4 200874
5 201156
6 200952
7 200931
8 200827
9 201023
10 200823
11 200921
12 201519
13 201618
14 201810
15 20127
16 20106
17 20134
18
Multi-drug resistant HIV-1 is sensitive to inhibition by chemokine receptor antagonists
20053
19 20202
20 20192

About Jonathan Toma

Jonathan Toma is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Epidemiology, having authored 21 papers that have together received 865 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 (6 papers), Immune Cell Function and Interaction (5 papers), Virology and Viral Diseases (3 papers), vaccines and immunoinformatics approaches (3 papers), interferon and immune responses (2 papers) and HIV-related health complications and treatments (2 papers). The work is most often cited by research in Virology (778 citations), Infectious Diseases (566 citations), Immunology (228 citations), Hepatology (46 citations) and Epidemiology (149 citations). Jonathan Toma has collaborated with scholars based in United States, Uganda and Canada. Frequent co-authors include Wei Huang, Christos J. Petropoulos, Jeannette M. Whitcomb, Signe Fransen, Eric Stawiski, Ellen E. Paxinos, Terri Wrin, Neil Parkin, Colombe Chappey and Kay Limoli. Their work appears in journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy, AIDS, The Journal of Infectious Diseases and Journal of the International Association of Providers of AIDS Care (JIAPAC).

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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