K. M. Ayers
Impact in
- Virology top 5%
- HIV Research and Treatment
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Actinomycetales infections and treatment 2
- Virology 3
- HIV Research and Treatment 2
- Co-authors
- W. H. Patterson (1 shared paper)Keith A. Joiner (1 shared paper)Marc Rubin (1 shared paper)Robert L. Danner (1 shared paper)Joseph E. Parrillo (1 shared paper)David J. Reynolds (1 shared paper)F. Μ. Garner (2 shared papers)Petr Novák (1 shared paper)
- Journals
- Toxicological Sciences (5 papers)Veterinary Pathology (2 papers)Journal of the American Veterinary Medical Association (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Journal of Forensic Sciences (2 papers)
- Partner nations
- United States
In The Last Decade
K. M. Ayers
16 papers receiving 428 citations
Peers
Comparison fields: 5 of 81
- Virology 117
- Molecular Medicine 56
- Infectious Diseases 200
- Microbiology 48
- Endocrinology 29
Countries citing papers authored by K. M. Ayers
This map shows the geographic impact of K. M. Ayers'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 K. M. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. M. Ayers more than expected).
Fields of papers citing papers by K. M. Ayers
This network shows the impact of papers produced by K. M. Ayers. 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 K. M. Ayers. The network helps show where K. M. Ayers may publish in the future.
Co-authors
The 22 scholars most cited alongside K. M. Ayers, 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 | 1989 | 134 | |
| 2 | 1996 | 91 | |
| 3 | Preclinical toxicology of zidovudine. An overview. | 1988 | 58 |
| 4 | 1994 | 53 | |
| 5 | 1997 | 38 | |
| 6 | 1972 | 27 | |
| 7 | 1996 | 12 | |
| 8 | 1996 | 7 | |
| 9 | 1993 | 5 | |
| 10 | 1971 | 4 | |
| 11 | 1972 | 4 | |
| 12 | 1996 | 4 | |
| 13 | 1972 | 3 | |
| 14 | 1972 | 3 | |
| 15 | 1990 | 1 | |
| 16 | 1996 | 1 | |
| 17 | 1977 | 0 |
About K. M. Ayers
K. M. Ayers is a scholar working on Microbiology, Virology, Infectious Diseases, Ophthalmology and Emergency Medicine, having authored 17 papers that have together received 445 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Virus-based gene therapy research (3 papers), HIV Research and Treatment (2 papers), Actinomycetales infections and treatment (2 papers), Traumatic Ocular and Foreign Body Injuries (2 papers), Restraint-Related Deaths (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Virology (117 citations), Molecular Medicine (56 citations), Infectious Diseases (200 citations), Microbiology (48 citations) and Endocrinology (29 citations). K. M. Ayers has collaborated with scholars based in United States. Frequent co-authors include W. H. Patterson, Keith A. Joiner, Marc Rubin, Robert L. Danner, Joseph E. Parrillo, David J. Reynolds, F. Μ. Garner, Petr Novák, I K Dev and N. R. Parry. Their work appears in journals such as Toxicological Sciences, Veterinary Pathology, Journal of the American Veterinary Medical Association, Antimicrobial Agents and Chemotherapy and Journal of Forensic Sciences.
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.