Ivan Hirsch

3.3k citations
113 papers · 2.8k · h-index 30

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction

Papers in

    • HIV Research and Treatment 45
    • Immune Cell Function and Interaction 23
    • T-cell and Retrovirus Studies 10

Ivan Hirsch

111 papers receiving 2.7k citations

Peers

Ivan Hirsch
Comparison fields: 5 of 94
  • Virology 1.0k
  • Immunology 953
  • Infectious Diseases 772
  • Hepatology 265
  • Epidemiology 864
Replace George J. Leslie with:
George J. Leslie United States
Emmanuel G. Cormier United States
DINO DINA United States
Jean‐Marie Andrieu France
Gerald R. Nakamura United States
Sajal K. Ghosh United States
Heribert Stoiber Austria
Guido L. Vanham Belgium
George B. Thornton United States
H. T. M. Cuypers Netherlands
Ivan Hirsch relative to George J. Leslie United States George J. Leslie's profile →
Citations per field
00.5×2×2.8×
George J. Leslie · 1×
Citations per year

Countries citing papers authored by Ivan Hirsch

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Hirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009284
2 2013139
3 1997132
4 198497
5 201088
6 201886
7 200786
8 200478
9 201166
10 199165
11 198465
12 201165
13 201062
14 201657
15 199155
16 201253
17 200344
18 201744
19 201143
20 201742

About Ivan Hirsch

Ivan Hirsch is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Oncology, having authored 113 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (45 papers), Immune Cell Function and Interaction (23 papers), HIV/AIDS drug development and treatment (23 papers), Cytomegalovirus and herpesvirus research (18 papers), Viral-associated cancers and disorders (16 papers), Herpesvirus Infections and Treatments (15 papers), HIV/AIDS Research and Interventions (12 papers) and T-cell and Retrovirus Studies (10 papers). The work is most often cited by research in Virology (1.0k citations), Immunology (953 citations), Infectious Diseases (772 citations), Hepatology (265 citations) and Epidemiology (864 citations). Ivan Hirsch has collaborated with scholars based in France, Czechia and United States. Frequent co-authors include Daniel Olive, Françoise Gondois‐Rey, Jean‐Claude Chermann, Jiřı́ Hejnar, Beda Břicháček, Kateřina Trejbalová, Vladim�r Vonka, Jana Blažková, Giselle Sánchez and Philippe Halfon. Their work appears in journals such as Virology, Journal of Virology, PLoS ONE, International Journal of Cancer and Journal of General 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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