S M Young
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Leprosy Research and Treatment
- Epidemiology top 5%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Leprosy Research and Treatment 4
- Tuberculosis Research and Epidemiology 2
- Antifungal resistance and susceptibility 1
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- Mycobacterium research and diagnosis 3
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- Peter F. Barnes (2 shared papers)Paul T. Davidson (1 shared paper)Brenda E. Jones (1 shared paper)Françoise Kramer (1 shared paper)Diana Antoniskis (1 shared paper)Barry R. Bloom (3 shared papers)Claude Pirmez (2 shared papers)J Convit (2 shared papers)
- Journals
- The Lancet (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)The Journal of Experimental Medicine (1 paper)Clinical and Experimental Dermatology (1 paper)
- Partner nations
- United StatesItalyVenezuela
In The Last Decade
S M Young
7 papers receiving 747 citations
S M Young's Hit Papers
Peers
Comparison fields: 5 of 65
- Infectious Diseases 530
- Epidemiology 419
- Surgery 313
- Immunology 104
- Virology 14
Countries citing papers authored by S M Young
This map shows the geographic impact of S M Young'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 S M Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S M Young more than expected).
Fields of papers citing papers by S M Young
This network shows the impact of papers produced by S M Young. 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 S M Young. The network helps show where S M Young may publish in the future.
Co-authors
The 25 scholars most cited alongside S M Young, 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 | Relationship of the Manifestations of Tuberculosis to CD4 Cell Counts in Patients with Human Immunodeficiency Virus Infection Hit paper breakdown → | 1993 | 436 |
| 2 | 1988 | 159 | |
| 3 | 1989 | 85 | |
| 4 | 1989 | 47 | |
| 5 | 1992 | 45 | |
| 6 | 1991 | 10 | |
| 7 | 2008 | 9 |
About S M Young
S M Young is a scholar working on Infectious Diseases, Epidemiology, Surgery, Small Animals and Molecular Biology, having authored 7 papers that have together received 791 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (4 papers), Infectious Diseases and Tuberculosis (4 papers), Mycobacterium research and diagnosis (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers), Glycosylation and Glycoproteins Research (1 paper), Infectious Diseases and Mycology (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (530 citations), Epidemiology (419 citations), Surgery (313 citations), Immunology (104 citations) and Virology (14 citations). S M Young has collaborated with scholars based in United States, Italy and Venezuela. Frequent co-authors include Peter F. Barnes, Paul T. Davidson, Brenda E. Jones, Françoise Kramer, Diana Antoniskis, Barry R. Bloom, Claude Pirmez, J Convit, Robert L. Modlin and T H Rea. Their work appears in journals such as The Lancet, Proceedings of the National Academy of Sciences, The Journal of Immunology, The Journal of Experimental Medicine and Clinical and Experimental Dermatology.
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.