Josef D. Wolf
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Viral Infections and Vectors
-
- Respiratory viral infections research
Papers in
- Epidemiology 10
- Respiratory viral infections research 9
- Virology and Viral Diseases 3
- Influenza Virus Research Studies 2
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- SARS-CoV-2 and COVID-19 Research 7
- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 detection and testing 2
- Co-authors
- Richard K. Plemper (12 shared papers)Robert M. Cox (10 shared papers)Carolin M. Lieber (7 shared papers)Julien Sourimant (4 shared papers)Chengjin Ye (3 shared papers)Luis Martínez‐Sobrido (3 shared papers)Michael G. Natchus (6 shared papers)Zachary M. Sticher (6 shared papers)
- Journals
- Nature Communications (5 papers)iScience (1 paper)Journal of Virology (1 paper)Nature Microbiology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesNetherlandsEstonia
In The Last Decade
Josef D. Wolf
12 papers receiving 549 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 401
- Epidemiology 180
- Neurology 52
- Animal Science and Zoology 35
- Virology 11
Countries citing papers authored by Josef D. Wolf
This map shows the geographic impact of Josef D. Wolf'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 Josef D. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef D. Wolf more than expected).
Fields of papers citing papers by Josef D. Wolf
This network shows the impact of papers produced by Josef D. Wolf. 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 Josef D. Wolf. The network helps show where Josef D. Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Josef D. Wolf, 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 | 2020 | 280 | |
| 2 | 2022 | 86 | |
| 3 | 2021 | 73 | |
| 4 | 2022 | 47 | |
| 5 | 2022 | 34 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 10 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 |
About Josef D. Wolf
Josef D. Wolf is a scholar working on Epidemiology, Infectious Diseases, Health, Dermatology and Virology, having authored 12 papers that have together received 564 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral gastroenteritis research and epidemiology (3 papers), Virology and Viral Diseases (3 papers), SARS-CoV-2 detection and testing (2 papers), Influenza Virus Research Studies (2 papers), Dermatological and COVID-19 studies (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Infectious Diseases (401 citations), Epidemiology (180 citations), Neurology (52 citations), Animal Science and Zoology (35 citations) and Virology (11 citations). Josef D. Wolf has collaborated with scholars based in United States, Netherlands and Estonia. Frequent co-authors include Richard K. Plemper, Robert M. Cox, Carolin M. Lieber, Julien Sourimant, Chengjin Ye, Luis Martínez‐Sobrido, Michael G. Natchus, Zachary M. Sticher, George R. Painter and Alexander A. Kolykhalov. Their work appears in journals such as Nature Communications, iScience, Journal of Virology, Nature Microbiology and Antimicrobial Agents and Chemotherapy.
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.