Simon Pollett

1.8k citations
38 papers · 950 indexed · h-index 16

Impact in

Papers in

Simon Pollett

35 papers receiving 927 citations

Peers

Simon Pollett
Comparison fields: 5 of 126
  • Modeling and Simulation 121
  • Infectious Diseases 443
  • Molecular Medicine 117
  • Clinical Biochemistry 133
  • Endocrinology 59
Replace В. Г. Акимкин with:
В. Г. Акимкин Russia
Alireza Eshaghi Canada
Marcus Lem Canada
Philippe Calain Switzerland
Rebecca J. Rockett Australia
Sandra Smole United States
Victoria Cook Canada
Mark E. Beatty United States
Vincent Enouf France
Placide Mbala Democratic Republic of the Congo
Simon Pollett relative to В. Г. Акимкин Russia В. Г. Акимкин's profile →
Citations per field
00.5×10×20×30×44×
В. Г. Акимкин · 1×
Citations per year

Countries citing papers authored by Simon Pollett

Since Specialization
Citations

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

Fields of papers citing papers by Simon Pollett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013177
2 2019111
3 201974
4 201472
5 201653
6 201852
7 201943
8 202039
9 201639
10 201630
11 202127
12 201926
13 201726
14 201524
15 201623
16 201915
17 201514
18 201914
19 201911
20 201311

About Simon Pollett

Simon Pollett is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology and Clinical Biochemistry, having authored 38 papers that have together received 950 indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), Mosquito-borne diseases and control (11 papers), COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (6 papers), Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Respiratory viral infections research (4 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Modeling and Simulation (121 citations), Infectious Diseases (443 citations), Molecular Medicine (117 citations), Clinical Biochemistry (133 citations) and Endocrinology (59 citations). Simon Pollett has collaborated with scholars based in United States, Australia and Peru. Frequent co-authors include Romney M. Humphries, George Sakoulas, Richard G. Jarman, Irina Maljkovic Berry, Caitlin Rivers, Melanie C. Melendrez, George W. Rutherford, Lindsay Morton, Wiriya Rutvisuttinunt and Kimberly A. Bishop‐Lilly. Their work appears in journals such as PLoS neglected tropical diseases, Emerging infectious diseases, The Journal of Infectious Diseases, Clinical Infectious Diseases and Infection Genetics and Evolution.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026