Thomas A. Weppelmann

1.2k citations
52 papers · 796 · h-index 17

Impact in

Papers in

Thomas A. Weppelmann

49 papers receiving 777 citations

Peers

Thomas A. Weppelmann
Comparison fields: 5 of 95
  • Endocrinology 235
  • Molecular Medicine 106
  • Parasitology 129
  • Infectious Diseases 236
  • Modeling and Simulation 56
Replace Dean Middleton with:
Dean Middleton Canada
Michele B. Parsons United States
Ana A. Weil United States
Juno Thomas South Africa
Kenji Sadamasu Japan
Anup Palit India
Manivanh Vongsouvath Laos
Juana del Valle-Mendoza Peru
Rina Meza Peru
Justin Im South Korea
Thomas A. Weppelmann relative to Dean Middleton Canada Dean Middleton's profile →
Citations per field
00.5×4.3×
Dean Middleton · 1×
Citations per year

Countries citing papers authored by Thomas A. Weppelmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Weppelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Weppelmann. 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 Thomas A. Weppelmann. The network helps show where Thomas A. Weppelmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201446
3 201540
4 201637
5 201636
6 201436
7 201534
8 201534
9 201732
10 201931
11 201831
12 201530
13 201429
14 201428
15 201419
16 201317
17 202117
18 201416
19 202215
20 201715

About Thomas A. Weppelmann

Thomas A. Weppelmann is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Infectious Diseases, Epidemiology and Immunology, having authored 52 papers that have together received 796 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (13 papers), Malaria Research and Control (12 papers), Vibrio bacteria research studies (10 papers), Viral Infections and Vectors (6 papers), Vector-borne infectious diseases (5 papers), Travel-related health issues (5 papers), Child Nutrition and Water Access (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Endocrinology (235 citations), Molecular Medicine (106 citations), Parasitology (129 citations), Infectious Diseases (236 citations) and Modeling and Simulation (56 citations). Thomas A. Weppelmann has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include J. Glenn Morris, Afsar Ali, Kwangcheol Casey Jeong, Raies A. Mir, Michael E. von Fricken, Meer T. Alam, Bernard A. Okech, Alexander Kirpich, Judith A. Johnson and Ira M. Longini. Their work appears in journals such as PLoS ONE, American Journal of Tropical Medicine and Hygiene, Malaria Journal, Acta Tropica and PLoS neglected tropical diseases.

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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