Peter E. Kima

2.3k citations
46 papers · 1.8k indexed · h-index 24

Peter E. Kima

45 papers receiving 1.8k citations

Peers

Peter E. Kima
Comparison fields: 5 of 93
  • Parasitology 284
  • Public Health, Environmental and Occupational Health 1.2k
  • Immunology 537
  • Epidemiology 876
  • Rheumatology 178
Replace Joan Curtis with:
Joan Curtis Australia
Cláudia Brodskyn Brazil
Bradford S. McGwire United States
Kwang-Poo Chang United States
Hechmi Louzir Tunisia
Alain Debrabant United States
Fernanda O. Novais United States
Norbert Donhauser Germany
Patrícia Sampaio Tavares Veras Brazil
Marise P. Nunes Brazil
Peter E. Kima relative to Joan Curtis Australia Joan Curtis's profile →
Citations per field
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Joan Curtis · 1×
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-authorship network

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
#Work
1 20246
2 20230
3 20234
4 202116
5 20212
6 201712
7 20164
8 201618
9 201383
10 201228
11 201214
12 200834
13 2006131
14 20044
15 200358
16 200044
17 199834
18 1996272
19 199663
20 199420

About Peter E. Kima

Peter E. Kima is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Immunology, Physiology and Parasitology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (29 papers), Trypanosoma species research and implications (23 papers), Extracellular vesicles in disease (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Cellular transport and secretion (3 papers), Complement system in diseases (3 papers) and Parasites and Host Interactions (3 papers). The work is most often cited by research in Parasitology (284 citations), Public Health, Environmental and Occupational Health (1.2k citations), Immunology (537 citations), Epidemiology (876 citations) and Rheumatology (178 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, B. Jack Longley, Richard A. Flavell, Jiaren Sun and Jianchao Xu. Their work appears in journals such as Infection and Immunity, Cellular Microbiology, 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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