Tom Were

53 papers receiving 1.4k citations

Peers

Tom Were
Comparison fields: 5 of 89
  • Public Health, Environmental and Occupational Health 851
  • Parasitology 144
  • Immunology 443
  • Genetics 116
  • Virology 48
Replace John Michael Ong’echa with:
John Michael Ong’echa Kenya
Doris Luckner Germany
Cyrille Bisseyé Gabon
Yacouba Cissoko Mali
Christopher A. Moxon United Kingdom
Oscar Kai United Kingdom
Gehad ElGhazali Sudan
Léopold G. Lehman Cameroon
Klaus Herbich Austria
Inès Vigan-Womas France
Tom Were relative to John Michael Ong’echa Kenya John Michael Ong’echa's profile →
Citations per field
00.5×1.5×
John Michael Ong’echa · 1×
Citations per year

Countries citing papers authored by Tom Were

Since Specialization
Citations

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

Fields of papers citing papers by Tom Were

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011227
2 2006111
3 2010104
4 200680
5 200869
6 200660
7 200958
8
Suppression of RANTES in children with Plasmodium falciparum malaria.
200652
9
Association of FCgamma receptor IIA (CD32) polymorphism with malarial anemia and high-density parasitemia in infants and young children.
200645
10 200642
11 201237
12 200836
13 201034
14 200734
15 201032
16 200629
17 201626
18 201024
19 200422
20 200922

About Tom Were

Tom Were is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Epidemiology, Parasitology and Genetics, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Malaria Research and Control (21 papers), Complement system in diseases (11 papers), Mosquito-borne diseases and control (6 papers), Hemoglobinopathies and Related Disorders (5 papers), HIV-related health complications and treatments (4 papers), Global Maternal and Child Health (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (851 citations), Parasitology (144 citations), Immunology (443 citations), Genetics (116 citations) and Virology (48 citations). Tom Were has collaborated with scholars based in Kenya, United States and United Kingdom. Frequent co-authors include Douglas J. Perkins, John Michael Ong’echa, Collins Ouma, James B. Hittner, Gregory C. Davenport, John Vulule, Prakasha Kempaiah, Christopher Keller, Robert E. Ferrell and Michael Otieno. Their work appears in journals such as Infection and Immunity, BMC Infectious Diseases, Human Genetics, American Journal of Hematology and The Journal of Infectious 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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