Sean M. Moore

45 papers receiving 1.3k citations

Peers

Sean M. Moore
Comparison fields: 5 of 131
  • Modeling and Simulation 240
  • Endocrinology 197
  • Occupational Therapy 132
  • Parasitology 151
  • Infectious Diseases 397
Replace Luciano Pamplona de Góes Cavalcanti with:
Luciano Pamplona de Góes Cavalcanti Brazil
Kazuhiko Moji Japan
Maria Rita Donalísio Brazil
Alex Donaldson Australia
Joseph McLaughlin United States
Melvin A. Kohn United States
Pedro Luíz Tauil Brazil
Nicolas Dégallier Brazil
André Reynaldo Santos Périssé Brazil
Paulo Chagastelles Sabroza Brazil
Sean M. Moore relative to Luciano Pamplona de Góes Cavalcanti Brazil Luciano Pamplona de Góes Cavalcanti's profile →
Citations per field
00.5×9.8×
Luciano Pamplona de Góes Cavalcanti · 1×
Citations per year

Countries citing papers authored by Sean M. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Sean M. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean M. Moore. 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 Sean M. Moore. The network helps show where Sean M. Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009157
2 2018127
3 2016111
4 201180
5 201777
6 201770
7 201452
8 201551
9 200949
10 202045
11 202142
12 201540
13 202135
14 201234
15 201231
16 201828
17 201927
18 202222
19 202022
20 201122

About Sean M. Moore

Sean M. Moore is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Genetics and Endocrinology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), Viral Infections and Vectors (11 papers), Mosquito-borne diseases and control (11 papers), Vibrio bacteria research studies (9 papers), Zoonotic diseases and public health (7 papers), Viral Infections and Outbreaks Research (7 papers), Yersinia bacterium, plague, ectoparasites research (5 papers) and Vector-borne infectious diseases (4 papers). The work is most often cited by research in Modeling and Simulation (240 citations), Endocrinology (197 citations), Occupational Therapy (132 citations), Parasitology (151 citations) and Infectious Diseases (397 citations). Sean M. Moore has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Justin Lessler, Andrew S. Azman, Andrew J. Monaghan, Elizabeth T. Borer, Heather McKay, Michelle Canham-Chervak, Bruce H. Jones, Sara Canada, Timothy A Mitchener and Rebecca J. Eisen. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Epidemics, Journal of The Royal Society Interface, PLoS neglected tropical diseases and Vaccine.

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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