Henry Tabel

873 citations
23 papers · 730 · h-index 16

Impact in

Papers in

Henry Tabel

23 papers receiving 711 citations

Peers

Henry Tabel
Comparison fields: 5 of 54
  • Parasitology 225
  • Public Health, Environmental and Occupational Health 517
  • Epidemiology 593
  • Immunology 297
  • Small Animals 38
Replace Olivia Giddings with:
Olivia Giddings United States
J. Santiago Mejia United States
Kathleen S. Mayor‐Withey Kenya
Ivete Lopes de Mendonça Brazil
Susan Coller United States
Mélanie Revaz‐Breton Switzerland
Herbert W. Cox United States
Rami Mukbel Jordan
A Vágó Brazil
Dianne M. Ritter United States
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Citations per field
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Olivia Giddings · 1×
Citations per year

Countries citing papers authored by Henry Tabel

Since Specialization
Citations

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

Fields of papers citing papers by Henry Tabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Henry Tabel, 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 Henry Tabel Line = papers co-authored together Henry Tabel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200275
2 200458
3 200055
4 200855
5 199953
6 200651
7 199851
8 200043
9 200643
10 200839
11 201033
12 201029
13 201326
14 199822
15 200519
16 199117
17 199312
18 199911
19 201111
20 19968

About Henry Tabel

Henry Tabel is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Immunology, Parasitology and Small Animals, having authored 23 papers that have together received 730 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (19 papers), Trypanosoma species research and implications (19 papers), Immune Cell Function and Interaction (8 papers), Parasites and Host Interactions (4 papers), Complement system in diseases (3 papers), Helminth infection and control (2 papers), Parasitic Infections and Diagnostics (2 papers) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Parasitology (225 citations), Public Health, Environmental and Occupational Health (517 citations), Epidemiology (593 citations), Immunology (297 citations) and Small Animals (38 citations). Henry Tabel has collaborated with scholars based in Canada, China and Nigeria. Frequent co-authors include Guojian Wei, Meiqing Shi, Wanling Pan, Radhey S. Kaushik, Jude E. Uzonna, John Gordon, Harold J Bull, Ying Zhang, Oladele Ogunremi and Xia Zhou. Their work appears in journals such as The Journal of Immunology, Veterinary Immunology and Immunopathology, Microbes and Infection, Journal of Leukocyte Biology and Infection and Immunity.

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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