Chuan-Chin Huang
- Cardiology and Cardiovascular Medicine top 5%
- Infectious Diseases top 5%
- Epidemiology top 10%
- Surgery
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Frank B. HuRuyi HuangJorge E. ChavarroMegan MurrayLeonid LeccaRóger CalderónCarmen ContrerasRosa Yataco
- Topics
- Tuberculosis Research and Epidemiology (21 papers)Mycobacterium research and diagnosis (9 papers)Pneumocystis jirovecii pneumonia detection and treatment (5 papers)
- Partner nations
- United StatesPeruUnited Kingdom
In The Last Decade
Chuan-Chin Huang
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 311
- Infectious Diseases 272
- Epidemiology 269
- Surgery 210
- Public Health, Environmental and Occupational Health 151
Countries citing papers authored by Chuan-Chin Huang
This map shows the geographic impact of Chuan-Chin Huang'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 Chuan-Chin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuan-Chin Huang more than expected).
Fields of papers citing papers by Chuan-Chin Huang
This network shows the impact of papers produced by Chuan-Chin Huang. 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 Chuan-Chin Huang. The network helps show where Chuan-Chin Huang may publish in the future.
Co-authorship network of co-authors of Chuan-Chin Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chuan-Chin Huang. A scholar is included among the top collaborators of Chuan-Chin Huang 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 Chuan-Chin Huang. Chuan-Chin Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 56 | |
| 8 | 16 | |
| 9 | 44 | |
| 10 | 29 | |
| 11 | 72 | |
| 12 | 37 | |
| 13 | 16 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 23 | |
| 17 | 18 | |
| 18 | 223 | |
| 19 | 4 | |
| 20 | 39 |
About Chuan-Chin Huang
Chuan-Chin Huang is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (9 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (144 citations), Developmental Neuroscience (61 citations) and Infectious Diseases (272 citations). Chuan-Chin Huang has collaborated with scholars based in United States, Peru and United Kingdom. Frequent co-authors include Frank B. Hu, Ruyi Huang, Jorge E. Chavarro, Megan Murray, Leonid Lecca, Róger Calderón, Carmen Contreras, Rosa Yataco, Jerome T. Galea and Zibiao Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Immunology 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.