Peter E. Kima

45 papers receiving 1.8k citations

Peers

Peter E. Kima
Comparison fields: 5 of 98
  • Public Health, Environmental and Occupational Health 1.2k
  • Parasitology 276
  • Epidemiology 858
  • Immunology 527
  • Rheumatology 173
Replace Joan Curtis with:
Joan Curtis Australia
Cláudia Brodskyn Brazil
Hechmi Louzir Tunisia
Kwang-Poo Chang United States
Alain Debrabant United States
Fernanda O. Novais United States
Norbert Donhauser Germany
Marise P. Nunes Brazil
Asher Maroof United Kingdom
M. A. Ouaissi France
Peter E. Kima relative to Joan Curtis Australia Joan Curtis's profile →
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Citations per year

Countries citing papers authored by Peter E. Kima

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Kima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Kima. 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 Peter E. Kima. The network helps show where Peter E. Kima may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996272
2 2006131
3 2000127
4 2007114
5 1995106
6 201384
7 200372
8 200568
9 199663
10 200358
11 201058
12 202047
13 200044
14 199740
15 199836
16 200835
17 202233
18 201230
19 201230
20
The Leishmania Parasitophorous Vacuole Membrane at the Parasite-Host Interface.
201928

About Peter E. Kima

Peter E. Kima is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Immunology, Molecular Biology and Rheumatology, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (31 papers), Trypanosoma species research and implications (25 papers), Extracellular vesicles in disease (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Cellular transport and secretion (3 papers), Parasites and Host Interactions (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.2k citations), Parasitology (276 citations), Epidemiology (858 citations), Immunology (527 citations) and Rheumatology (173 citations). Peter E. Kima has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Lynn Soong, Diane McMahon‐Pratt, Nicole A. Leal, Nancy H. Ruddle, Marı́a Colmenares, Johnathan Canton, Richard A. Flavell, B. Jack Longley, Iqbal S. Grewal and Jiaren Sun. Their work appears in journals such as Cellular Microbiology, Infection and Immunity, Frontiers in Immunology, PLoS neglected tropical diseases and Frontiers in Cellular and Infection Microbiology.

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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