Daniel E. Kaufmann
- Virology top 0.05%
- HIV Research and Treatment 92
- Immunology top 0.5%
- Immune Cell Function and Interaction 76
- T-cell and B-cell Immunology 37
- Immunotherapy and Immune Responses 12
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment 14
- SARS-CoV-2 and COVID-19 Research 13
- HIV/AIDS Research and Interventions 10
- Accounting top 2%
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research 16
- Co-authors
- Aart KraayMassimo MastruzziBruce D. WalkerFilippos PorichisAndrés FinziAmy E. BaxterEric RosenbergMarylyn M. Addo
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Daniel E. Kaufmann
133 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Virology 4.2k
- Immunology 3.9k
- Infectious Diseases 2.2k
- Accounting 568
- Epidemiology 1.5k
Countries citing papers authored by Daniel E. Kaufmann
This map shows the geographic impact of Daniel E. Kaufmann'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 E. Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Kaufmann more than expected).
Fields of papers citing papers by Daniel E. Kaufmann
This network shows the impact of papers produced by Daniel E. Kaufmann. 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 E. Kaufmann. The network helps show where Daniel E. Kaufmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Kaufmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 99 | |
| 11 | 2020 | 29 | |
| 12 | 2019 | 151 | |
| 13 | 2017 | 27 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 43 | |
| 16 | 2013 | 202 | |
| 17 | 2009 | 225 | |
| 18 | La gobernabilidad es fundamental | 2000 | 3 |
| 19 | Heterogeneity in the response to antiretroviral therapy. | 1999 | 4 |
| 20 | Social Networks in Transition | 1997 | 1 |
About Daniel E. Kaufmann
Daniel E. Kaufmann is a scholar working on Virology, Immunology and Infectious Diseases, having authored 140 papers that have together received 8.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (92 papers), Immune Cell Function and Interaction (76 papers), T-cell and B-cell Immunology (37 papers), Cytomegalovirus and herpesvirus research (16 papers), HIV/AIDS drug development and treatment (14 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Immunotherapy and Immune Responses (12 papers) and HIV/AIDS Research and Interventions (10 papers). The work is most often cited by research in Virology (4.2k citations), Immunology (3.9k citations) and Infectious Diseases (2.2k citations). Daniel E. Kaufmann has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Aart Kraay, Massimo Mastruzzi, Bruce D. Walker, Filippos Porichis, Andrés Finzi, Amy E. Baxter, Eric Rosenberg, Marylyn M. Addo, Jonathan Richard and Jean‐Pierre Routy. Their work appears in journals such as Journal of Virology, The Journal of Immunology, Blood, Cell Host & Microbe and Current Opinion in HIV and AIDS.
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.