Daniel J. Sheward
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 24
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 detection and testing 5
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Ben Murrell (27 shared papers)Thomas Weighill (1 shared paper)Sergei L. Kosakovsky Pond (1 shared paper)Konrad Scheffler (1 shared paper)S. Moola (1 shared paper)Leo Hanke (17 shared papers)Gerald M. McInerney (17 shared papers)Laura Perez Vidakovics (8 shared papers)
- Journals
- Nature Communications (5 papers)Cell Reports Medicine (4 papers)Journal of Virology (3 papers)EBioMedicine (2 papers)AIDS Research and Human Retroviruses (2 papers)
- Partner nations
- SwedenSouth AfricaUnited States
In The Last Decade
Daniel J. Sheward
36 papers receiving 2.1k citations
Daniel J. Sheward's Hit Papers
Peers
Comparison fields: 5 of 106
- Virology 454
- Infectious Diseases 964
- Immunology 496
- Animal Science and Zoology 179
- Radiology, Nuclear Medicine and Imaging 394
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 | 932 |
| 2 | 2020 | 229 | |
| 3 | 2012 | 211 | |
| 4 | 2011 | 110 | |
| 5 | 2020 | 99 | |
| 6 | 2022 | 55 | |
| 7 | 2023 | 54 | |
| 8 | 2022 | 51 | |
| 9 | 2013 | 45 | |
| 10 | 2020 | 35 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 27 | |
| 13 | 2021 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2018 | 17 | |
| 18 | 2013 | 17 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 14 |
About Daniel J. Sheward
Daniel J. Sheward is a scholar working on Infectious Diseases, Virology, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (24 papers), HIV Research and Treatment (11 papers), COVID-19 Clinical Research Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Animal Virus Infections Studies (6 papers), SARS-CoV-2 detection and testing (5 papers), T-cell and B-cell Immunology (5 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Virology (454 citations), Infectious Diseases (964 citations), Immunology (496 citations), Animal Science and Zoology (179 citations) and Radiology, Nuclear Medicine and Imaging (394 citations). Daniel J. Sheward has collaborated with scholars based in Sweden, South Africa and United States. Frequent co-authors include Ben Murrell, Thomas Weighill, Sergei L. Kosakovsky Pond, Konrad Scheffler, S. Moola, Leo Hanke, Gerald M. McInerney, 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, EBioMedicine and AIDS Research and Human Retroviruses.
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.