M A Jay

923 citations
11 papers · 806 · h-index 10

Impact in

    • 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

    • Pneumocystis jirovecii pneumonia detection and treatment 6
    • Tuberculosis Research and Epidemiology 5
    • HIV/AIDS drug development and treatment 5

M A Jay

11 papers receiving 782 citations

Peers

M A Jay
Comparison fields: 5 of 86
  • Infectious Diseases 206
  • Epidemiology 356
  • Immunology 181
  • Critical Care and Intensive Care Medicine 31
  • Immunology and Allergy 36
Replace Angela M. Preston with:
Angela M. Preston United States
Tieying Hou United States
Michael A. Rogy Austria
C. Belleguic France
Ming-Chih Yu Taiwan
Ines Glojnarić Croatia
Hideki Yotsumoto Japan
J Igari Japan
H J Hodgson United Kingdom
Lewis Glasser United States
M A Jay relative to Angela M. Preston United States Angela M. Preston's profile →
Citations per field
00.5×4.4×
Angela M. Preston · 1×
Citations per year

Countries citing papers authored by M A Jay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M A Jay Line = papers co-authored together M A Jay links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1985328
2 1989119
3 1988114
4 198867
5 198764
6 198734
7 198724
8 198724
9 198718
10 199312
11
Battered: The Abuse of Children
19882

About M A Jay

M A Jay is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Immunology and Organic Chemistry, having authored 11 papers that have together received 806 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), Immune Response and Inflammation (2 papers), Neonatal Respiratory Health Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Mechanical Circulatory Support Devices (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Infectious Diseases (206 citations), Epidemiology (356 citations), Immunology (181 citations), Critical Care and Intensive Care Medicine (31 citations) and Immunology and Allergy (36 citations). M A Jay has collaborated with scholars based in United States. Frequent co-authors include Simeon E. Goldblum, K.M. Wu, Sherry F. Queener, Marilyn S. Bartlett, M M Durkin, James W. Smith, K Yoneda, Craig J. McClain, Bernhard Hennig and Jay A. Fishman. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Journal of Applied Physiology, 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.

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