Sam Acors
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 2
- Viral gastroenteritis research and epidemiology 1
-
- COVID-19 Impact on Reproduction 1
- Co-authors
- Julia M. Kenny (1 shared paper)Stuart J. D. Neil (1 shared paper)Jeffrey Seow (1 shared paper)Paul Wellman (1 shared paper)Michael J. Carter (1 shared paper)Emma M. Timms (1 shared paper)Shane M. Tibby (1 shared paper)Katie J. Doores (1 shared paper)
- Journals
- Nature Microbiology (2 papers)Nature Medicine (1 paper)PLoS Pathogens (1 paper)eLife (1 paper)Journal of Infection (1 paper)
- Partner nations
- United KingdomNetherlandsFinland
In The Last Decade
Sam Acors
9 papers receiving 1.6k citations
Sam Acors's Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 1.2k
- Modeling and Simulation 153
- Neurology 188
- Obstetrics and Gynecology 85
- Animal Science and Zoology 84
Countries citing papers authored by Sam Acors
This map shows the geographic impact of Sam Acors'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 Sam Acors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Acors more than expected).
Fields of papers citing papers by Sam Acors
This network shows the impact of papers produced by Sam Acors. 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 Sam Acors. The network helps show where Sam Acors may publish in the future.
Co-authors
The 12 scholars most cited alongside Sam Acors, 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 | Longitudinal observation and decline of neutralizing antibody responses in the three months following SARS-CoV-2 infection in humans Hit paper breakdown → | 2020 | 942 |
| 2 | 2020 | 324 | |
| 3 | 2021 | 116 | |
| 4 | 2020 | 84 | |
| 5 | 2021 | 76 | |
| 6 | 2020 | 41 | |
| 7 | 2022 | 28 | |
| 8 | 2023 | 23 | |
| 9 | 2021 | 7 |
About Sam Acors
Sam Acors is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Animal Science and Zoology, Neurology and Epidemiology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Animal Virus Infections Studies (1 paper), Respiratory viral infections research (1 paper), COVID-19 Impact on Reproduction (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Modeling and Simulation (153 citations), Neurology (188 citations), Obstetrics and Gynecology (85 citations) and Animal Science and Zoology (84 citations). Sam Acors has collaborated with scholars based in United Kingdom, Netherlands and Finland. Frequent co-authors include Julia M. Kenny, Stuart J. D. Neil, Jeffrey Seow, Paul Wellman, Michael J. Carter, Emma M. Timms, Shane M. Tibby, Katie J. Doores, Carl Graham and A.R. Jennings. Their work appears in journals such as Nature Microbiology, Nature Medicine, PLoS Pathogens, eLife and Journal of Infection.
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.