Kenneth Inglima

1.3k citations
19 papers · 936 · h-index 12

Impact in

Papers in

    • SARS-CoV-2 detection and testing 4
    • COVID-19 Clinical Research Studies 4
    • Antimicrobial Resistance in Staphylococcus 3
    • SARS-CoV-2 and COVID-19 Research 2
    • Respiratory viral infections research 2

Kenneth Inglima

19 papers receiving 900 citations

Peers

Kenneth Inglima
Comparison fields: 5 of 75
  • Molecular Medicine 357
  • Applied Microbiology and Biotechnology 60
  • Endocrinology 125
  • Clinical Biochemistry 140
  • Infectious Diseases 362
Replace Toshiki Kajihara with:
Toshiki Kajihara Japan
Gabriela Ibáñez-Cervantes Mexico
Andrea Vergara Spain
Aki Hirabayashi Japan
Robert Tibbetts United States
Mireille van Westreenen Netherlands
Abdoulaye Seck Senegal
Beatriz Orden Spain
Saara Huovinen Finland
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth Inglima

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Inglima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004357
2 2020169
3 2003104
4 2014101
5 198147
6 202034
7 202122
8 202020
9 201718
10 197918
11 199513
12 202012
13 20226
14 20156
15 20214
16 20202
17 20171
18 20201
19 20241

About Kenneth Inglima

Kenneth Inglima is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, Molecular Biology and Clinical Biochemistry, having authored 19 papers that have together received 936 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), COVID-19 Clinical Research Studies (4 papers), Antibiotic Use and Resistance (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Fish biology, ecology, and behavior (1 paper). The work is most often cited by research in Molecular Medicine (357 citations), Applied Microbiology and Biotechnology (60 citations), Endocrinology (125 citations), Clinical Biochemistry (140 citations) and Infectious Diseases (362 citations). Kenneth Inglima has collaborated with scholars based in United States. Frequent co-authors include Maria E. Aguero‐Rosenfeld, Philip M. Tierno, Luke Tysall, Neil Woodford, Ronald E. Painter, Marie-France I. Palepou, Lynn L. Silver, D L Shungu, David M. Livermore and Robert Press. Their work appears in journals such as Open Forum Infectious Diseases, Journal of Experimental Biology, Journal of Clinical Microbiology, International Journal of Infectious Diseases and Journal of Experimental Zoology.

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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