Daniel P. Beiting
- Parasitology top 0.5%
- Toxoplasma gondii Research Studies 12
- Parasites and Host Interactions 12
- Parasitic Infections and Diagnostics 11
- Immunology top 2%
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 12
- Infectious Diseases top 2%
- Biological Psychiatry top 5%
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- Research on Leishmaniasis Studies 18
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- Gut microbiota and health 15
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- Trypanosoma species research and implications 11
- Co-authors
- Phillip ScottAna M. MisicFernanda O. NovaisDavid S. RoosLucas P. CarvalhoJudith A. AppletonEdgar M. CarvalhoChristopher A. Hunter
- Journals
- The Journal of Immunology (8 papers)PLoS Pathogens (8 papers)Cell Host & Microbe (6 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Daniel P. Beiting
92 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 120
- Parasitology 1.1k
- Immunology 1.4k
- Infectious Diseases 917
- Biological Psychiatry 109
- Public Health, Environmental and Occupational Health 1.1k
Countries citing papers authored by Daniel P. Beiting
This map shows the geographic impact of Daniel P. Beiting'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 P. Beiting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Beiting more than expected).
Fields of papers citing papers by Daniel P. Beiting
This network shows the impact of papers produced by Daniel P. Beiting. 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 P. Beiting. The network helps show where Daniel P. Beiting may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel P. Beiting, 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 | 1 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 41 | |
| 10 | 2019 | 54 | |
| 11 | 2019 | 124 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 131 | |
| 14 | 2018 | 24 | |
| 15 | 2017 | 62 | |
| 16 | 2017 | 197 | |
| 17 | 2009 | 118 | |
| 18 | 2009 | 118 | |
| 19 | 2009 | 1 | |
| 20 | 2007 | 111 |
About Daniel P. Beiting
Daniel P. Beiting is a scholar working on Parasitology, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 93 papers that have together received 4.5k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (18 papers), Gut microbiota and health (15 papers), Immune Cell Function and Interaction (14 papers), Toxoplasma gondii Research Studies (12 papers), Parasites and Host Interactions (12 papers), T-cell and B-cell Immunology (12 papers), Trypanosoma species research and implications (11 papers) and Parasitic Infections and Diagnostics (11 papers). The work is most often cited by research in Parasitology (1.1k citations), Immunology (1.4k citations), Infectious Diseases (917 citations), Biological Psychiatry (109 citations) and Public Health, Environmental and Occupational Health (1.1k citations). Daniel P. Beiting has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Phillip Scott, Ana M. Misic, Fernanda O. Novais, David S. Roos, Lucas P. Carvalho, Judith A. Appleton, Edgar M. Carvalho, Christopher A. Hunter, Susan K. Bliss and Eldin Jašarević. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Cell Host & Microbe, mBio and Microbiome.
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.