Nicholas Sheets

1.4k citations
40 papers · 983 · h-index 12

Impact in

Papers in

Nicholas Sheets

33 papers receiving 971 citations

Peers

Nicholas Sheets
Comparison fields: 5 of 81
  • Infectious Diseases 540
  • Public Health, Environmental and Occupational Health 649
  • Epidemiology 234
  • Modeling and Simulation 31
  • Virology 27
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Susana V. Bardina United States
Elizabeth A. Caine United States
Daniel Limonta Canada
Jeslin J. L. Tan Singapore
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Bruno Schaub Martinique
Martha Ospina Colombia
Shin-Ae Lee South Korea
Héctor Yuri Conti Wanderley Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas Sheets

Since Specialization
Citations

This map shows the geographic impact of Nicholas Sheets'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 Nicholas Sheets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Sheets more than expected).

Fields of papers citing papers by Nicholas Sheets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Sheets. 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 Nicholas Sheets. The network helps show where Nicholas Sheets may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicholas Sheets, 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 Nicholas Sheets Line = papers co-authored together Nicholas Sheets links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016214
2 2017197
3 2017139
4 201798
5 201961
6 201759
7 202042
8 202028
9 201823
10 202120
11 201815
12 201913
13 20199
14 20227
15 20206
16 20235
17 20215
18 20225
19 20234
20 20214

About Nicholas Sheets

Nicholas Sheets is a scholar working on Public Health, Environmental and Occupational Health, Emergency Medicine, Surgery, Infectious Diseases and Oncology, having authored 40 papers that have together received 983 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Trauma and Emergency Care Studies (8 papers), Viral Infections and Vectors (6 papers), Malaria Research and Control (4 papers), Virology and Viral Diseases (3 papers), Injury Epidemiology and Prevention (3 papers), COVID-19 and healthcare impacts (3 papers) and Disability Education and Employment (2 papers). The work is most often cited by research in Infectious Diseases (540 citations), Public Health, Environmental and Occupational Health (649 citations), Epidemiology (234 citations), Modeling and Simulation (31 citations) and Virology (27 citations). Nicholas Sheets has collaborated with scholars based in United States, China and Grenada. Frequent co-authors include Sujan Shresta, William W. Tang, Kenneth Kim, Alexey V. Terskikh, Laura Saucedo-Cuevas, Michael Diamond, Edward A. Vizcarra, Hongda Li, Joseph G. Gleeson and José Ángel Regla-Nava. Their work appears in journals such as The American Surgeon, Scientific Reports, The American Journal of Surgery, Cell stem cell and Journal of the American College of Surgeons.

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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