Daniel Poston
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 2
-
- Histone Deacetylase Inhibitors Research 1
- Co-authors
- Paul D. Bieniasz (6 shared papers)Yiska Weisblum (4 shared papers)Théodora Hatziioannou (4 shared papers)Fabian Schmidt (2 shared papers)Michel C. Nussenzweig (2 shared papers)Christian Gaebler (2 shared papers)Alice Cho (2 shared papers)Marina Caskey (2 shared papers)
- Journals
- Clinical Infectious Diseases (1 paper)Nature (1 paper)Science Signaling (1 paper)mBio (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Daniel Poston
8 papers receiving 445 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Infectious Diseases 343
- Animal Science and Zoology 51
- Modeling and Simulation 19
- Molecular Biology 183
- Radiology, Nuclear Medicine and Imaging 58
Countries citing papers authored by Daniel Poston
This map shows the geographic impact of Daniel Poston'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 Poston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Poston more than expected).
Fields of papers citing papers by Daniel Poston
This network shows the impact of papers produced by Daniel Poston. 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 Poston. The network helps show where Daniel Poston may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Poston, 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 | Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies Hit paper breakdown → | 2021 | 205 |
| 2 | 2021 | 112 | |
| 3 | 2016 | 60 | |
| 4 | 2020 | 43 | |
| 5 | 2012 | 15 | |
| 6 | 2021 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 1 |
About Daniel Poston
Daniel Poston is a scholar working on Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health, Virology and Pollution, having authored 8 papers that have together received 450 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (2 papers), Mosquito-borne diseases and control (2 papers), HIV Research and Treatment (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Agronomic Practices and Intercropping Systems (1 paper), Animal Virus Infections Studies (1 paper) and Weed Control and Herbicide Applications (1 paper). The work is most often cited by research in Infectious Diseases (343 citations), Animal Science and Zoology (51 citations), Modeling and Simulation (19 citations), Molecular Biology (183 citations) and Radiology, Nuclear Medicine and Imaging (58 citations). Daniel Poston has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Paul D. Bieniasz, Yiska Weisblum, Théodora Hatziioannou, Fabian Schmidt, Michel C. Nussenzweig, Christian Gaebler, Alice Cho, Marina Caskey, Christopher O. Barnes and Zijun Wang. Their work appears in journals such as Clinical Infectious Diseases, Nature, Science Signaling, mBio and Nature Communications.
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.