C. M. Kunin
- Epidemiology top 5%
- Pharmacology top 1%
- Molecular Medicine top 1%
- Molecular Biology
- Applied Microbiology and Biotechnology top 0.5%
- Co-authors
- Stephen T. ChambersWilliam A. CraigAlbert J. PaquinP. J. McDonaldWilliam Y. EllisCherrilee SteelePeter G. WellingMargaret L. Kornguth
- Topics
- Antibiotic Resistance in Bacteria (9 papers)Escherichia coli research studies (8 papers)Urinary Tract Infections Management (8 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
C. M. Kunin
56 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 145
- Epidemiology 697
- Pharmacology 588
- Molecular Medicine 458
- Molecular Biology 453
- Applied Microbiology and Biotechnology 379
Countries citing papers authored by C. M. Kunin
This map shows the geographic impact of C. M. Kunin'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 C. M. Kunin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. M. Kunin more than expected).
Fields of papers citing papers by C. M. Kunin
This network shows the impact of papers produced by C. M. Kunin. 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 C. M. Kunin. The network helps show where C. M. Kunin may publish in the future.
Co-authorship network of co-authors of C. M. Kunin
This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Kunin. A scholar is included among the top collaborators of C. M. Kunin 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 C. M. Kunin. C. M. Kunin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Antimicrobial activity of rifabutin. Discussion | 1 |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 27 | |
| 7 | 32 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 72 | |
| 11 | 24 | |
| 12 | 95 | |
| 13 | 50 | |
| 14 | The impact of infections on medical care in the United States. Problems and priorities for future research. Proceedings of a symposium, Bethesda, Maryland, U.S.A., 30-31 May 1978. | 2 |
| 15 | 29 | |
| 16 | 65 | |
| 17 | 18 | |
| 18 | EFFECT OF SERUM BINDING ON THE DISTRIBUTION OF PENICILLINS IN THE RABBIT. | 48 |
| 19 | URINARY TRACT INFECTION IN SCHOOL CHILDREN: AN EPIDEMIOLOGIC, CLINICAL AND LABORATORY STUDY. | 183 |
| 20 | Clinical experience with the use of potentially nephrotoxic antibiotics in the treatment of infections in uremic patients. | 1 |
About C. M. Kunin
C. M. Kunin is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Endocrinology, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Escherichia coli research studies (8 papers) and Urinary Tract Infections Management (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (379 citations), Molecular Medicine (458 citations) and Endocrinology (232 citations). C. M. Kunin has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stephen T. Chambers, William A. Craig, Albert J. Paquin, P. J. McDonald, William Y. Ellis, Cherrilee Steele, Peter G. Welling, Margaret L. Kornguth, A. Hamada and Duane D. Miller. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Annals of Internal Medicine.
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.