Alan Sariol

1.3k citations
20 papers · 788 · 1 hit paper · h-index 10

Impact in

    • 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

Alan Sariol

19 papers receiving 779 citations

Alan Sariol's Hit Papers

Innate immune and inflammatory responses to SARS-CoV-2: Implications for COVID-19 2021 · 193 citations
1930+1+3Years since publication50100150

Peers

Alan Sariol
Comparison fields: 5 of 78
  • Infectious Diseases 440
  • Neurology 159
  • Immunology 205
  • Neurology 136
  • Biological Psychiatry 22
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Citations per field
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Citations per year

Countries citing papers authored by Alan Sariol

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alan Sariol Line = papers co-authored together Alan Sariol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020218
2
Innate immune and inflammatory responses to SARS-CoV-2: Implications for COVID-19
Hit paper breakdown →
2021193
3 2018145
4 202063
5 202148
6 202424
7 201923
8 202118
9 202114
10 20239
11 20208
12 20248
13 20235
14 20224
15 20243
16 20252
17 20241
18 20231
19 20241
20 20240

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 788 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (6 papers), Mosquito-borne diseases and control (4 papers), Long-Term Effects of COVID-19 (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Animal Virus Infections Studies (3 papers), T-cell and B-cell Immunology (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (440 citations), Neurology (159 citations), Immunology (205 citations), Neurology (136 citations) and Biological Psychiatry (22 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, Juan E. Abrahante, Samantha Mackin, Chen Ma, Yu Zhou, Xiufen Zou and Michael Diamond. Their work appears in journals such as Nature Immunology, Cell Reports, Proceedings of the National Academy of Sciences, Transfusion and Journal of Virology.

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.

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