Tom D. Y. Chin
- Epidemiology top 5%
- Infectious Diseases top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Immunology
- Co-authors
- Alfred W. CrosbyC. R. GravelleJack D. PolandHerbert A. WennerWilliam M. MarineErnest A. AgerLarry E. DavisAbram S. Benenson
- Topics
- Respiratory viral infections research (19 papers)Viral Infections and Immunology Research (17 papers)Cytomegalovirus and herpesvirus research (9 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
- Epidemiology 801
- Infectious Diseases 629
- Cardiology and Cardiovascular Medicine 265
- Public Health, Environmental and Occupational Health 184
- Immunology 169
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 of co-authors of Tom D. Y. Chin
This figure shows the co-authorship network connecting the top 25 collaborators of Tom D. Y. Chin. A scholar is included among the top collaborators of Tom D. Y. Chin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom D. Y. Chin. Tom D. Y. Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 19 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 198 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 25 | |
| 9 | 28 | |
| 10 | 26 | |
| 11 | 44 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 20 | |
| 17 | 21 | |
| 18 | 28 | |
| 19 | An Outbreak of St. Louis Encephalitis in the Lower Rio Grande Valley of Texas in 1954: Epidemiological features | 3 |
| 20 | 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) and Cytomegalovirus and herpesvirus research (9 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 New England Journal of Medicine, Blood and The Journal of Immunology.
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.