Jonathan Toma

1.1k citations
21 papers · 869 · 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 17
    • HIV/AIDS drug development and treatment 12
    • HIV/AIDS Research and Interventions 3

Jonathan Toma

21 papers receiving 842 citations

Peers

Jonathan Toma
Comparison fields: 5 of 52
  • Virology 731
  • Infectious Diseases 418
  • Immunology 168
  • Hepatology 30
  • Epidemiology 113
Replace Mia Coetzer with:
Mia Coetzer United States
Tonie Cilliers South Africa
Elly Baan Netherlands
Awet Abraha United States
Betty Willems Belgium
Caroline Quillent France
Signe Fransen United States
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Citations per field
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Mia Coetzer · 1×
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 2006270
2 2007130
3 200988
4 200874
5 201157
6 200952
7 200932
8 200827
9 200823
10 201023
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 869 indexed citations. Recurring topics across this work include HIV Research and Treatment (17 papers), HIV/AIDS drug development and treatment (12 papers), Immune Cell Function and Interaction (4 papers), HIV/AIDS Research and Interventions (3 papers), interferon and immune responses (2 papers), vaccines and immunoinformatics approaches (2 papers), Virology and Viral Diseases (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Virology (731 citations), Infectious Diseases (418 citations), Immunology (168 citations), Hepatology (30 citations) and Epidemiology (113 citations). Jonathan Toma has collaborated with scholars based in United States, Uganda and Japan. 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, The Journal of Infectious Diseases, AIDS and 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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