Charles A. Kaysner
- Endocrinology top 0.1%
- Vibrio bacteria research studies 32
- Immunology top 2%
- Aquaculture disease management and microbiota 26
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology 18
- Biotechnology top 5%
- Molecular Medicine top 10%
-
- Identification and Quantification in Food 8
-
- Yersinia bacterium, plague, ectoparasites research 6
-
- Microbial Community Ecology and Physiology 2
- Bacteriophages and microbial interactions 2
-
- Botulinum Toxin and Related Neurological Disorders 2
- Co-authors
- Angelo DePaolaMarleen M. WekellCarlos AbeytaMichael C.L. VickeryDaniel D. JonesAsim K. BejDavid W. CookWalter E. Hill
- Cited by
- EndocrinologyImmunologyFood Science
- Journals
- Applied and Environmental Microbiology (14 papers)Journal of Clinical Microbiology (1 paper)International Journal of Food Microbiology (1 paper)
- Partner nations
- United StatesThailandChina
In The Last Decade
Charles A. Kaysner
43 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Endocrinology 1.7k
- Immunology 1.4k
- Food Science 945
- Biotechnology 187
- Molecular Medicine 48
Countries citing papers authored by Charles A. Kaysner
This map shows the geographic impact of Charles A. Kaysner'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 Charles A. Kaysner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles A. Kaysner more than expected).
Fields of papers citing papers by Charles A. Kaysner
This network shows the impact of papers produced by Charles A. Kaysner. 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 Charles A. Kaysner. The network helps show where Charles A. Kaysner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles A. Kaysner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 8 | |
| 2 | 2004 | 24 | |
| 3 | 2003 | 7 | |
| 4 | 2002 | 26 | |
| 5 | 2000 | 38 | |
| 6 | 1999 | 17 | |
| 7 | 1997 | 50 | |
| 8 | 1995 | 5 | |
| 9 | 1995 | 31 | |
| 10 | 1994 | 34 | |
| 11 | 1994 | 3 | |
| 12 | 1990 | 7 | |
| 13 | 1990 | 20 | |
| 14 | 1990 | 22 | |
| 15 | 1990 | 38 | |
| 16 | 1989 | 9 | |
| 17 | 1989 | 4 | |
| 18 | 1988 | 1 | |
| 19 | 1986 | 59 | |
| 20 | 1969 | 5 |
About Charles A. Kaysner
Charles A. Kaysner is a scholar working on Endocrinology, Microbiology and Immunology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (32 papers), Aquaculture disease management and microbiota (26 papers), Salmonella and Campylobacter epidemiology (18 papers), Identification and Quantification in Food (8 papers), Yersinia bacterium, plague, ectoparasites research (6 papers), Microbial Community Ecology and Physiology (2 papers), Bacteriophages and microbial interactions (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Endocrinology (1.7k citations), Immunology (1.4k citations) and Food Science (945 citations). Charles A. Kaysner has collaborated with scholars based in United States, Thailand and China. Frequent co-authors include Angelo DePaola, Marleen M. Wekell, Carlos Abeyta, Michael C.L. Vickery, Daniel D. Jones, Asim K. Bej, David W. Cook, Walter E. Hill, Robert F. Stott and John C. Bowers. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and International Journal of Food 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.