J. Kimari

964 citations
19 papers · 744 indexed · h-index 15

Impact in

Papers in

J. Kimari

19 papers receiving 711 citations

Peers

J. Kimari
Comparison fields: 5 of 72
  • Infectious Diseases 399
  • Endocrinology 107
  • Molecular Medicine 85
  • Epidemiology 463
  • Food Science 135
Replace Sayomporn Sirinavin with:
Sayomporn Sirinavin Thailand
M Deb India
Tulsi Chugh Kuwait
J Lévy Belgium
Joe P. Bryan United States
Ayşe Willke Türkiye
M. H. Wilcox United Kingdom
Sonia M. Aguero United States
Metehan Özen Türkiye
Katrine Borgen Norway
J. Kimari relative to Sayomporn Sirinavin Thailand Sayomporn Sirinavin's profile →
Citations per field
00.5×1.5×1.9×
Sayomporn Sirinavin · 1×
Citations per year

Countries citing papers authored by J. Kimari

Since Specialization
Citations

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

Fields of papers citing papers by J. Kimari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 201517
2 200222
3 200182
4 20018
5 199951
6 199928
7 1997112
8 199732
9 199718
10 199614
11 199610
12 199616
13 199625
14 1996154
15 199641
16 199517
17 199555
18
Antimicrobial susceptibility and presence of extrachromosomal deoxyribonucleic acid in Salmonella and Shigella isolates from patients with AIDS.
19947
19 199335

About J. Kimari

J. Kimari is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Epidemiology and Food Science, having authored 19 papers that have together received 744 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (9 papers), Tuberculosis Research and Epidemiology (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Antibiotic Resistance in Bacteria (5 papers), Pneumonia and Respiratory Infections (4 papers), Bacteriophages and microbial interactions (3 papers), Escherichia coli research studies (3 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Infectious Diseases (399 citations), Endocrinology (107 citations), Molecular Medicine (85 citations), Epidemiology (463 citations) and Food Science (135 citations). J. Kimari has collaborated with scholars based in Kenya, United Kingdom and Canada. Frequent co-authors include Charles F. Gilks, Richard Brindle, B. I. F. Batchelor, Samuel Kariuki, Peter G. Waiyaki, John R. Paul, C. A. Hart, Francis A. Plummer, Jane Muyodi and Robert Newnham. Their work appears in journals such as AIDS, Clinical Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, Avian Diseases and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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