Daniel J. Sheward
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 21
- COVID-19 Clinical Research Studies 4
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Ben Murrell (27 shared papers)Sergei L. Kosakovsky Pond (1 shared paper)Konrad Scheffler (1 shared paper)Thomas Weighill (1 shared paper)S. Moola (1 shared paper)Gerald M. McInerney (17 shared papers)Leo Hanke (17 shared papers)Laura Perez Vidakovics (8 shared papers)
- Journals
- Nature Communications (5 papers)Cell Reports Medicine (4 papers)Journal of Virology (3 papers)The Journal of Infectious Diseases (2 papers)EBioMedicine (2 papers)
- Partner nations
- SwedenSouth AfricaUnited States
In The Last Decade
Daniel J. Sheward
37 papers receiving 2.2k citations
Daniel J. Sheward's Hit Papers
Peers
Comparison fields: 5 of 102
- Virology 436
- Infectious Diseases 875
- Immunology 437
- Radiology, Nuclear Medicine and Imaging 388
- Animal Science and Zoology 169
Countries citing papers authored by Daniel J. Sheward
This map shows the geographic impact of Daniel J. Sheward'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 J. Sheward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Sheward more than expected).
Fields of papers citing papers by Daniel J. Sheward
This network shows the impact of papers produced by Daniel J. Sheward. 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 J. Sheward. The network helps show where Daniel J. Sheward may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Sheward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FUBAR: A Fast, Unconstrained Bayesian AppRoximation for Inferring Selection Hit paper breakdown → | 2013 | 951 |
| 2 | 2020 | 237 | |
| 3 | 2012 | 212 | |
| 4 | 2011 | 110 | |
| 5 | 2020 | 100 | |
| 6 | 2023 | 60 | |
| 7 | 2022 | 59 | |
| 8 | 2022 | 53 | |
| 9 | 2013 | 45 | |
| 10 | 2020 | 36 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 27 | |
| 13 | 2022 | 25 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2013 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 15 |
About Daniel J. Sheward
Daniel J. Sheward is a scholar working on Infectious Diseases, Virology, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), HIV Research and Treatment (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers), vaccines and immunoinformatics approaches (5 papers), Animal Virus Infections Studies (5 papers), COVID-19 Clinical Research Studies (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (436 citations), Infectious Diseases (875 citations), Immunology (437 citations), Radiology, Nuclear Medicine and Imaging (388 citations) and Animal Science and Zoology (169 citations). Daniel J. Sheward has collaborated with scholars based in Sweden, South Africa and United States. Frequent co-authors include Ben Murrell, Sergei L. Kosakovsky Pond, Konrad Scheffler, Thomas Weighill, S. Moola, Gerald M. McInerney, Leo Hanke, Laura Perez Vidakovics, Gunilla B. Karlsson Hedestam and B.M. Hallberg. Their work appears in journals such as Nature Communications, Cell Reports Medicine, Journal of Virology, The Journal of Infectious Diseases and EBioMedicine.
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.