Michael L. Kotewicz
- Molecular Biology
- Endocrinology top 2%
- Ecology top 10%
- Infectious Diseases top 10%
- Food Science top 5%
- Co-authors
- James M. D'AlessioGary F. GerardThomas A. CebulaTheo T. NikiforovJ. Eugene LeClercEric W. BrownMark K. MammelStephen Anderson
- Topics
- Escherichia coli research studies (11 papers)Salmonella and Campylobacter epidemiology (10 papers)Bacteriophages and microbial interactions (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael L. Kotewicz
27 papers receiving 953 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 560
- Endocrinology 238
- Ecology 230
- Infectious Diseases 196
- Food Science 190
Countries citing papers authored by Michael L. Kotewicz
This map shows the geographic impact of Michael L. Kotewicz'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 Michael L. Kotewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Kotewicz more than expected).
Fields of papers citing papers by Michael L. Kotewicz
This network shows the impact of papers produced by Michael L. Kotewicz. 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 Michael L. Kotewicz. The network helps show where Michael L. Kotewicz may publish in the future.
Co-authorship network of co-authors of Michael L. Kotewicz
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Kotewicz. A scholar is included among the top collaborators of Michael L. Kotewicz 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 Michael L. Kotewicz. Michael L. Kotewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 24 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 65 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 17 | |
| 10 | 57 | |
| 11 | 38 | |
| 12 | 26 | |
| 13 | 44 | |
| 14 | 13 | |
| 15 | 19 | |
| 16 | 67 | |
| 17 | 154 | |
| 18 | 160 | |
| 19 | 21 | |
| 20 | 6 |
About Michael L. Kotewicz
Michael L. Kotewicz is a scholar working on Endocrinology, Food Science and Virology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Salmonella and Campylobacter epidemiology (10 papers) and Bacteriophages and microbial interactions (10 papers). The work is most often cited by research in Endocrinology (238 citations), Virology (98 citations) and Infectious Diseases (196 citations). Michael L. Kotewicz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James M. D'Alessio, Gary F. Gerard, Thomas A. Cebula, Theo T. Nikiforov, J. Eugene LeClerc, Eric W. Brown, Mark K. Mammel, Stephen Anderson, Michael Knapp and George L. Trainor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.