K. M. Ayers
Impact in
- Virology top 5%
- HIV Research and Treatment
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- HIV/AIDS drug development and treatment 6
-
- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Joseph E. Parrillo (1 shared paper)Marc Rubin (1 shared paper)W. H. Patterson (1 shared paper)Robert L. Danner (1 shared paper)Keith A. Joiner (1 shared paper)David J. Reynolds (1 shared paper)F. Μ. Garner (2 shared papers)N. R. Parry (1 shared paper)
- Journals
- Toxicological Sciences (5 papers)Journal of Forensic Sciences (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Veterinary Pathology (2 papers)Journal of the American Veterinary Medical Association (2 papers)
- Partner nations
- United States
In The Last Decade
K. M. Ayers
17 papers receiving 441 citations
Peers
Comparison fields: 5 of 84
- Virology 111
- Molecular Medicine 56
- Infectious Diseases 197
- Microbiology 48
- Endocrinology 31
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 23 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 | 137 | |
| 2 | 1996 | 95 | |
| 3 | Preclinical toxicology of zidovudine. An overview. | 1988 | 60 |
| 4 | 1994 | 55 | |
| 5 | 1997 | 40 | |
| 6 | 1972 | 30 | |
| 7 | 1996 | 13 | |
| 8 | 1996 | 8 | |
| 9 | 1972 | 6 | |
| 10 | 1993 | 5 | |
| 11 | 1996 | 4 | |
| 12 | 1971 | 4 | |
| 13 | 1972 | 4 | |
| 14 | 1972 | 3 | |
| 15 | 1977 | 1 | |
| 16 | 1996 | 1 | |
| 17 | 1990 | 1 |
About K. M. Ayers
K. M. Ayers is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Virology and Genetics, having authored 17 papers that have together received 467 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), Carcinogens and Genotoxicity Assessment (2 papers), Traumatic Ocular and Foreign Body Injuries (2 papers), Actinomycetales infections and treatment (2 papers), HIV Research and Treatment (2 papers) and Restraint-Related Deaths (2 papers). The work is most often cited by research in Virology (111 citations), Molecular Medicine (56 citations), Infectious Diseases (197 citations), Microbiology (48 citations) and Endocrinology (31 citations). K. M. Ayers has collaborated with scholars based in United States. Frequent co-authors include Joseph E. Parrillo, Marc Rubin, W. H. Patterson, Robert L. Danner, Keith A. Joiner, David J. Reynolds, F. Μ. Garner, N. R. Parry, Susan M. Daluge and D. J. M. Purifoy. Their work appears in journals such as Toxicological Sciences, Journal of Forensic Sciences, Antimicrobial Agents and Chemotherapy, Veterinary Pathology and Journal of the American Veterinary Medical Association.
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.