Dan Agranoff
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Antifungal resistance and susceptibility
- Virology top 10%
- Rabies epidemiology and control
Papers in ⓘ
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- Machine Learning in Bioinformatics 2
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- Antifungal resistance and susceptibility 2
- Co-authors
- Sanjeev Krishna (6 shared papers)Edward Tarelli (2 shared papers)Alison Loosemore (2 shared papers)Marios C. Papadopoulos (2 shared papers)Delmiro Fernández-Reyes (2 shared papers)Tim Planche (3 shared papers)Achim Schwenk (1 shared paper)Mark Herbster (1 shared paper)
- Journals
- The Lancet (2 papers)PLoS ONE (2 papers)Clinical Infectious Diseases (1 paper)The Journal of Immunology (1 paper)Postgraduate Medical Journal (1 paper)
- Partner nations
- United KingdomGhanaGermany
In The Last Decade
Dan Agranoff
14 papers receiving 648 citations
Peers
Comparison fields: 5 of 90
- Infectious Diseases 243
- Virology 57
- Parasitology 50
- Microbiology 44
- Epidemiology 241
Countries citing papers authored by Dan Agranoff
This map shows the geographic impact of Dan Agranoff'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 Dan Agranoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Agranoff more than expected).
Fields of papers citing papers by Dan Agranoff
This network shows the impact of papers produced by Dan Agranoff. 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 Dan Agranoff. The network helps show where Dan Agranoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Agranoff, 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 | 2006 | 215 | |
| 2 | 2004 | 107 | |
| 3 | 2001 | 69 | |
| 4 | 2009 | 61 | |
| 5 | 2010 | 59 | |
| 6 | 2002 | 52 | |
| 7 | 2015 | 30 | |
| 8 | 2005 | 22 | |
| 9 | 1999 | 19 | |
| 10 | 2008 | 19 | |
| 11 | 2008 | 7 | |
| 12 | 2006 | 7 | |
| 13 | 2008 | 1 | |
| 14 | 2001 | 1 |
About Dan Agranoff
Dan Agranoff is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Surgery and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 669 indexed citations. Recurring topics across this work include Infectious Diseases and Tuberculosis (3 papers), Trypanosoma species research and implications (3 papers), Machine Learning in Bioinformatics (2 papers), Mosquito-borne diseases and control (2 papers), Complement system in diseases (2 papers), Antifungal resistance and susceptibility (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Infectious Diseases (243 citations), Virology (57 citations), Parasitology (50 citations), Microbiology (44 citations) and Epidemiology (241 citations). Dan Agranoff has collaborated with scholars based in United Kingdom, Ghana and Germany. Frequent co-authors include Sanjeev Krishna, Edward Tarelli, Alison Loosemore, Marios C. Papadopoulos, Delmiro Fernández-Reyes, Tim Planche, Achim Schwenk, Mark Herbster, Sergio Rojas and Richard Pollok. Their work appears in journals such as The Lancet, PLoS ONE, Clinical Infectious Diseases, The Journal of Immunology and Postgraduate Medical Journal.
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.