Todd J. Suscovich
- Virology top 0.5%
- HIV Research and Treatment 25
- Immunology top 1%
- Immune Cell Function and Interaction 23
- T-cell and B-cell Immunology 13
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 6
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- Monoclonal and Polyclonal Antibodies Research 14
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research 9
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- Viral-associated cancers and disorders 6
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- Glycosylation and Glycoproteins Research 5
- Co-authors
- Galit AlterLenette L. LuSarah M. FortuneHendrik StreeckChristian BranderBruce D. WalkerMarcus AltfeldNickolas Teigen
- Journals
- Journal of Clinical Investigation (1 paper)Nature Medicine (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Todd J. Suscovich
52 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Virology 1.2k
- Immunology 2.2k
- Infectious Diseases 820
- Radiology, Nuclear Medicine and Imaging 597
- Epidemiology 755
Countries citing papers authored by Todd J. Suscovich
This map shows the geographic impact of Todd J. Suscovich'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 Todd J. Suscovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd J. Suscovich more than expected).
Fields of papers citing papers by Todd J. Suscovich
This network shows the impact of papers produced by Todd J. Suscovich. 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 Todd J. Suscovich. The network helps show where Todd J. Suscovich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Todd J. Suscovich, 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 | 2023 | 12 | |
| 2 | 2022 | 76 | |
| 3 | 2021 | 19 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 40 | |
| 6 | 2019 | 161 | |
| 7 | 2019 | 82 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 66 | |
| 10 | Temporal variation in HIV-specific IgG subclass Abs during acute infection differentiates spontaneous controllers from chronic progressors | 2017 | 1 |
| 11 | 2016 | 107 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 32 | |
| 14 | 2014 | 34 | |
| 15 | 2006 | 28 | |
| 16 | 2005 | 52 | |
| 17 | 2005 | 30 | |
| 18 | 2004 | 63 | |
| 19 | 2003 | 13 | |
| 20 | 2000 | 70 |
About Todd J. Suscovich
Todd J. Suscovich is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), Immune Cell Function and Interaction (23 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (13 papers), Cytomegalovirus and herpesvirus research (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Viral-associated cancers and disorders (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Virology (1.2k citations), Immunology (2.2k citations) and Infectious Diseases (820 citations). Todd J. Suscovich has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Galit Alter, Lenette L. Lu, Sarah M. Fortune, Hendrik Streeck, Christian Brander, Bruce D. Walker, Marcus Altfeld, Nickolas Teigen, Angela Meier and Michael T. Waring. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.
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.