Tom D. Y. Chin
- Infectious Diseases top 2%
- Parvovirus B19 Infection Studies 7
- Viral gastroenteritis research and epidemiology 6
- Modeling and Simulation top 2%
- Epidemiology top 5%
- Respiratory viral infections research 19
- Cytomegalovirus and herpesvirus research 9
- Herpesvirus Infections and Treatments 8
- Influenza Virus Research Studies 6
- Virology and Viral Diseases 4
- Endocrinology top 5%
- Virology top 10%
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- Viral Infections and Immunology Research 17
- Co-authors
- Alfred W. CrosbyC. R. GravelleJack D. PolandHerbert A. WennerWilliam M. MarineErnest A. AgerLarry E. DavisAbram S. Benenson
- Journals
- American Journal of Epidemiology (18 papers)Journal of Public Health Policy (7 papers)New England Journal of Medicine (7 papers)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Tom D. Y. Chin
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Infectious Diseases 629
- Modeling and Simulation 109
- Epidemiology 801
- Endocrinology 77
- Virology 56
Countries citing papers authored by Tom D. Y. Chin
This map shows the geographic impact of Tom D. Y. Chin'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 Tom D. Y. Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom D. Y. Chin more than expected).
Fields of papers citing papers by Tom D. Y. Chin
This network shows the impact of papers produced by Tom D. Y. Chin. 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 Tom D. Y. Chin. The network helps show where Tom D. Y. Chin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom D. Y. Chin, 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 | 2003 | 13 | |
| 2 | 2002 | 19 | |
| 3 | 2002 | 3 | |
| 4 | 1994 | 23 | |
| 5 | 1991 | 198 | |
| 6 | 1987 | 2 | |
| 7 | 1985 | 10 | |
| 8 | 1976 | 25 | |
| 9 | 1972 | 28 | |
| 10 | 1971 | 26 | |
| 11 | 1971 | 44 | |
| 12 | 1970 | 8 | |
| 13 | 1970 | 11 | |
| 14 | 1969 | 3 | |
| 15 | 1967 | 5 | |
| 16 | 1966 | 20 | |
| 17 | 1961 | 21 | |
| 18 | 1958 | 28 | |
| 19 | An Outbreak of St. Louis Encephalitis in the Lower Rio Grande Valley of Texas in 1954: Epidemiological features | 1957 | 3 |
| 20 | 1957 | 27 |
About Tom D. Y. Chin
Tom D. Y. Chin is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Respiratory viral infections research (19 papers), Viral Infections and Immunology Research (17 papers), Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (8 papers), Parvovirus B19 Infection Studies (7 papers), Influenza Virus Research Studies (6 papers), Viral gastroenteritis research and epidemiology (6 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Infectious Diseases (629 citations), Modeling and Simulation (109 citations) and Epidemiology (801 citations). Tom D. Y. Chin has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Alfred W. Crosby, C. R. Gravelle, Jack D. Poland, Herbert A. Wenner, William M. Marine, Ernest A. Ager, Larry E. Davis, Abram S. Benenson, Herta Wulff and John A. Stewart. Their work appears in journals such as American Journal of Epidemiology, Journal of Public Health Policy, New England Journal of Medicine, PEDIATRICS and American Journal of Tropical Medicine and Hygiene.
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.