Alan Sariol
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 7
-
- Mosquito-borne diseases and control 4
- Co-authors
- Stanley Perlman (14 shared papers)Shea A. Lowery (4 shared papers)David K. Meyerholz (6 shared papers)Dorthea L. Wheeler (1 shared paper)Samantha Mackin (2 shared papers)Juan E. Abrahante (3 shared papers)Xiufen Zou (1 shared paper)Yu Zhou (1 shared paper)
- Journals
- Cell Reports (2 papers)Nature Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Transfusion (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Alan Sariol
17 papers receiving 742 citations
Alan Sariol's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 473
- Neurology 157
- Immunology 206
- Neurology 147
- Modeling and Simulation 41
Countries citing papers authored by Alan Sariol
This map shows the geographic impact of Alan Sariol'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 Alan Sariol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Sariol more than expected).
Fields of papers citing papers by Alan Sariol
This network shows the impact of papers produced by Alan Sariol. 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 Alan Sariol. The network helps show where Alan Sariol may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Sariol, 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 | 2020 | 214 | |
| 2 | Innate immune and inflammatory responses to SARS-CoV-2: Implications for COVID-19 Hit paper breakdown → | 2021 | 189 |
| 3 | 2018 | 139 | |
| 4 | 2020 | 57 | |
| 5 | 2021 | 48 | |
| 6 | 2024 | 20 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 11 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Alan Sariol
Alan Sariol is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Neurology, Immunology and Animal Science and Zoology, having authored 20 papers that have together received 749 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (4 papers), Mosquito-borne diseases and control (4 papers), Animal Virus Infections Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Tryptophan and brain disorders (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Infectious Diseases (473 citations), Neurology (157 citations), Immunology (206 citations), Neurology (147 citations) and Modeling and Simulation (41 citations). Alan Sariol has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Stanley Perlman, Shea A. Lowery, David K. Meyerholz, Dorthea L. Wheeler, Samantha Mackin, Juan E. Abrahante, Xiufen Zou, Yu Zhou, Chen Ma and Michael Diamond. Their work appears in journals such as Cell Reports, Nature Immunology, Proceedings of the National Academy of Sciences, Transfusion and Journal of Autoimmunity.
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.