M A Jay
Impact in
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- Tuberculosis Research and Epidemiology
- Epidemiology top 10%
- Pneumocystis jirovecii pneumonia detection and treatment
- Pneumonia and Respiratory Infections
Papers in
-
- Tuberculosis Research and Epidemiology 5
- HIV/AIDS drug development and treatment 5
-
- Pneumocystis jirovecii pneumonia detection and treatment 6
- Pneumonia and Respiratory Infections 1
- Co-authors
- Simeon E. Goldblum (3 shared papers)K.M. Wu (1 shared paper)Marilyn S. Bartlett (6 shared papers)Sherry F. Queener (6 shared papers)M M Durkin (5 shared papers)James William Smith (4 shared papers)Craig James McClain (2 shared papers)K Yoneda (2 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)Journal of Applied Physiology (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Palliative Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
M A Jay
11 papers receiving 792 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 212
- Epidemiology 353
- Immunology 172
- Immunology and Allergy 37
- Critical Care and Intensive Care Medicine 21
Countries citing papers authored by M A Jay
This map shows the geographic impact of M A Jay'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 M A Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M A Jay more than expected).
Fields of papers citing papers by M A Jay
This network shows the impact of papers produced by M A Jay. 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 M A Jay. The network helps show where M A Jay may publish in the future.
Co-authors
The 19 scholars most cited alongside M A Jay, 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 | 1985 | 327 | |
| 2 | 1989 | 122 | |
| 3 | 1988 | 118 | |
| 4 | 1988 | 75 | |
| 5 | 1987 | 67 | |
| 6 | 1987 | 37 | |
| 7 | 1987 | 27 | |
| 8 | 1987 | 24 | |
| 9 | 1987 | 20 | |
| 10 | 1993 | 13 | |
| 11 | Battered: The Abuse of Children | 1988 | 2 |
About M A Jay
M A Jay is a scholar working on Infectious Diseases, Epidemiology, Immunology, Critical Care and Intensive Care Medicine and Microbiology, having authored 11 papers that have together received 832 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Tuberculosis Research and Epidemiology (5 papers), HIV/AIDS drug development and treatment (5 papers), Neonatal Respiratory Health Research (2 papers), Immune Response and Inflammation (2 papers), Thermal Regulation in Medicine (1 paper), Pneumonia and Respiratory Infections (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Infectious Diseases (212 citations), Epidemiology (353 citations), Immunology (172 citations), Immunology and Allergy (37 citations) and Critical Care and Intensive Care Medicine (21 citations). M A Jay has collaborated with scholars based in United States. Frequent co-authors include Simeon E. Goldblum, K.M. Wu, Marilyn S. Bartlett, Sherry F. Queener, M M Durkin, James William Smith, Craig James McClain, K Yoneda, Bernhard Hennig and Jay Alan Fishman. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Applied Physiology, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease and Palliative 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.