Peter Chin‐Hong
- Epidemiology top 1%
- Surgery top 2%
- Infectious Diseases top 1%
- Oncology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Joel M. PalefskyTeresa M. DarraghMaria Da CostaMichele I. MorrisNaomi JayJ. Michael BerryBrad SpellbergDimitrios P. Kontoyiannis
- Topics
- Antifungal resistance and susceptibility (22 papers)Fungal Infections and Studies (18 papers)Cervical Cancer and HPV Research (15 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Peter Chin‐Hong
96 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 123
- Epidemiology 2.1k
- Surgery 1.1k
- Infectious Diseases 999
- Oncology 594
- Public Health, Environmental and Occupational Health 240
Countries citing papers authored by Peter Chin‐Hong
This map shows the geographic impact of Peter Chin‐Hong'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 Peter Chin‐Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Chin‐Hong more than expected).
Fields of papers citing papers by Peter Chin‐Hong
This network shows the impact of papers produced by Peter Chin‐Hong. 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 Peter Chin‐Hong. The network helps show where Peter Chin‐Hong may publish in the future.
Co-authorship network of co-authors of Peter Chin‐Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Chin‐Hong. A scholar is included among the top collaborators of Peter Chin‐Hong 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 Peter Chin‐Hong. Peter Chin‐Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 40 | |
| 5 | 52 | |
| 6 | 54 | |
| 7 | 10 | |
| 8 | Review of medical microbiology and immunology : a guide to clinical infectious diseases | 3 |
| 9 | 15 | |
| 10 | 23 | |
| 11 | 26 | |
| 12 | 38 | |
| 13 | 219 | |
| 14 | 14 | |
| 15 | 113 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 65 | |
| 19 | Diagnostic tests for HPV infection. | 1 |
| 20 | 42 |
About Peter Chin‐Hong
Peter Chin‐Hong is a scholar working on Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology, having authored 96 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (22 papers), Fungal Infections and Studies (18 papers) and Cervical Cancer and HPV Research (15 papers). The work is most often cited by research in Epidemiology (2.1k citations), Infectious Diseases (999 citations) and Transplantation (101 citations). Peter Chin‐Hong has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Joel M. Palefsky, Teresa M. Darragh, Maria Da Costa, Michele I. Morris, Naomi Jay, J. Michael Berry, Brad Spellberg, Dimitrios P. Kontoyiannis, Ross Cranston and Ashraf S. Ibrahim. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine and PLoS ONE.
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.