Kimberly C. Claeys
- Clinical Biochemistry top 0.5%
- Infectious Diseases top 5%
- Epidemiology top 5%
- Pharmacology top 2%
- Molecular Medicine top 1%
- Co-authors
- Michael J. RybakSusan L. DavisEmily L. HeilAbdalhamid M LagnfEvan J ZasowskiSurbhi LeekhaJordan R. SmithAnthony M. Casapao
- Topics
- Bacterial Identification and Susceptibility Testing (56 papers)Antibiotic Use and Resistance (33 papers)Antimicrobial Resistance in Staphylococcus (31 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesJournal of Clinical Microbiology
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Kimberly C. Claeys
100 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Clinical Biochemistry 596
- Infectious Diseases 535
- Epidemiology 527
- Pharmacology 429
- Molecular Medicine 427
Countries citing papers authored by Kimberly C. Claeys
This map shows the geographic impact of Kimberly C. Claeys'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 Kimberly C. Claeys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly C. Claeys more than expected).
Fields of papers citing papers by Kimberly C. Claeys
This network shows the impact of papers produced by Kimberly C. Claeys. 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 Kimberly C. Claeys. The network helps show where Kimberly C. Claeys may publish in the future.
Co-authorship network of co-authors of Kimberly C. Claeys
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly C. Claeys. A scholar is included among the top collaborators of Kimberly C. Claeys based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimberly C. Claeys. Kimberly C. Claeys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 28 | |
| 19 | 4 | |
| 20 | 16 |
About Kimberly C. Claeys
Kimberly C. Claeys is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (56 papers), Antibiotic Use and Resistance (33 papers) and Antimicrobial Resistance in Staphylococcus (31 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (378 citations), Clinical Biochemistry (596 citations) and Molecular Medicine (427 citations). Kimberly C. Claeys has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Michael J. Rybak, Susan L. Davis, Emily L. Heil, Abdalhamid M Lagnf, Evan J Zasowski, Surbhi Leekha, Jordan R. Smith, Anthony M. Casapao, J. Kristie Johnson and Trang D Trinh. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Clinical 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.