Kevin Libuit

479 citations
11 papers · 299 · h-index 6

Impact in

    • Antibiotic Resistance in Bacteria
  • Pollution top 5%
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Pesticide and Herbicide Environmental Studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 3
    • Genomics and Phylogenetic Studies 2
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Gene expression and cancer classification 1

Kevin Libuit

11 papers receiving 293 citations

Peers

Kevin Libuit
Comparison fields: 5 of 55
  • Molecular Medicine 100
  • Pollution 163
  • Infectious Diseases 53
  • Endocrinology 14
  • Clinical Biochemistry 17
Replace Ross S. McInnes with:
Ross S. McInnes United Kingdom
Ze-Hua Cui China
Gregory E. McCallum United Kingdom
Haley Sanderson Canada
Dominik Kiemel Germany
Shuan Tao China
Francisco Salvà‐Serra Sweden
Shixiong Yan China
Zonghui Jian China
Taojie Xu China
Kevin Libuit relative to Ross S. McInnes United Kingdom Ross S. McInnes's profile →
Citations per field
00.5×2.8×
Ross S. McInnes · 1×
Citations per year

Countries citing papers authored by Kevin Libuit

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Libuit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014181
2 202159
3 202316
4 202313
5 202312
6 20236
7 20233
8 20233
9 20223
10 20212
11 20181

About Kevin Libuit

Kevin Libuit is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Clinical Biochemistry and Food Science, having authored 11 papers that have together received 299 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Genomics and Phylogenetic Studies (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Animal Virus Infections Studies (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Aquaculture disease management and microbiota (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Medicine (100 citations), Pollution (163 citations), Infectious Diseases (53 citations), Endocrinology (14 citations) and Clinical Biochemistry (17 citations). Kevin Libuit has collaborated with scholars based in United States and Chile. Frequent co-authors include Kang Xia, K.F. Knowlton, Nicole Fahrenfeld, Amy Pruden, W. Cully Hession, Errol Strain, Thomas Farrell, William J. Wolfgang, JAMES B. HERRICK and Magaly Toro. Their work appears in journals such as Microbial Genomics, Frontiers in Public Health, Diagnostic Microbiology and Infectious Disease, Environmental Science & Technology and PLoS ONE.

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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