Chia‐Chen Teng
- Rheumatology top 10%
- Critical Care and Intensive Care Medicine top 5%
- Cardiology and Cardiovascular Medicine
- Anesthesiology and Pain Medicine top 5%
- Immunology
- Co-authors
- Brian C. SauerGrant W. CannonTed R. MikulsJianwei LengRaminder NirulaJeffrey R. CurtisKavitha DamalEdward J. Kimball
- Topics
- Rheumatoid Arthritis Research and Therapies (11 papers)Diabetes Treatment and Management (7 papers)Chronic Lymphocytic Leukemia Research (4 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Chia‐Chen Teng
38 papers receiving 488 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 151
- Critical Care and Intensive Care Medicine 104
- Cardiology and Cardiovascular Medicine 76
- Anesthesiology and Pain Medicine 67
- Immunology 56
Countries citing papers authored by Chia‐Chen Teng
This map shows the geographic impact of Chia‐Chen Teng'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 Chia‐Chen Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Chen Teng more than expected).
Fields of papers citing papers by Chia‐Chen Teng
This network shows the impact of papers produced by Chia‐Chen Teng. 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 Chia‐Chen Teng. The network helps show where Chia‐Chen Teng may publish in the future.
Co-authorship network of co-authors of Chia‐Chen Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Chen Teng. A scholar is included among the top collaborators of Chia‐Chen Teng 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 Chia‐Chen Teng. Chia‐Chen Teng 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 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 79 | |
| 19 | 51 | |
| 20 | 46 |
About Chia‐Chen Teng
Chia‐Chen Teng is a scholar working on Rheumatology, Issues, ethics and legal aspects and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 497 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (11 papers), Diabetes Treatment and Management (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (104 citations), Anesthesiology and Pain Medicine (67 citations) and Rheumatology (151 citations). Chia‐Chen Teng has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Brian C. Sauer, Grant W. Cannon, Ted R. Mikuls, Jianwei Leng, Raminder Nirula, Jeffrey R. Curtis, Kavitha Damal, Edward J. Kimball, Carol Hope and Richard G. Barton. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.