Daniel Zagury

5.5k citations
141 papers · 4.8k · h-index 36

Impact in

  • Virology top 0.2%
    • HIV Research and Treatment
  • Immunology top 2%
    • T-cell and B-cell Immunology
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction

Papers in

    • HIV Research and Treatment 66
    • T-cell and B-cell Immunology 17
    • Immune Cell Function and Interaction 4
    • interferon and immune responses 3

Daniel Zagury

138 papers receiving 4.3k citations

Peers

Daniel Zagury
Comparison fields: 5 of 86
  • Virology 2.1k
  • Immunology 539
  • Rheumatology 181
  • Infectious Diseases 135
  • Cell Biology 69
Replace Takayuki Ota with:
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Krishna K. Murthy United States
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Daniel Zagury relative to Takayuki Ota Japan Takayuki Ota's profile →
Citations per field
00.5×2×2.7×
Takayuki Ota · 1×
Citations per year

Countries citing papers authored by Daniel Zagury

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zagury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986469
2 1999259
3 1984258
4 1998172
5 1998157
6 1988155
7 1970146
8 1975134
9
Antibodies to the HIV-1 Tat protein correlated with nonprogression to AIDS: a rationale for the use of Tat toxoid as an HIV-1 vaccine.
1999132
10 2000130
11 2015112
12 198598
13 199887
14 198885
15 200981
16 198776
17 200676
18 200766
19
Safety and immunogenicity of HIV-1 Tat toxoid in immunocompromised HIV-1-infected patients.
199965
20 198858

About Daniel Zagury

Daniel Zagury is a scholar working on Virology, Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Structural Biology, having authored 141 papers that have together received 4.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (66 papers), T-cell and B-cell Immunology (17 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (4 papers), Cervical Cancer and HPV Research (3 papers), Pancreatic function and diabetes (3 papers), interferon and immune responses (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Virology (2.1k citations), Immunology (539 citations), Rheumatology (181 citations), Infectious Diseases (135 citations) and Cell Biology (69 citations). Daniel Zagury has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Robert C. Gallo, Jacky Bernard, Bernard Bizzini, Arsène Burny, Michael M. Feldman, Jean‐François Zagury, Hélène Le Buanec, Rebecca A. Leonard, P. S. Sarin and A Lachgar. Their work appears in journals such as Biomedicine & Pharmacotherapy, Proceedings of the National Academy of Sciences, AIDS Research and Human Retroviruses, The Lancet and Science.

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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