Chien‐Tsun Kuan
- Molecular Biology top 10%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Darell D. BignerCarol J. WikstrandIra PastanMichael R. ZalutskyCharles N. PegramStephen T. KeirGary E. ArcherRoger E. McLendon
- Topics
- Monoclonal and Polyclonal Antibodies Research (18 papers)Toxin Mechanisms and Immunotoxins (15 papers)Radiopharmaceutical Chemistry and Applications (9 papers)
- Cited by
- OncologyGeneticsImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Chien‐Tsun Kuan
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 734
- Oncology 655
- Radiology, Nuclear Medicine and Imaging 468
- Immunology 442
- Genetics 245
Countries citing papers authored by Chien‐Tsun Kuan
This map shows the geographic impact of Chien‐Tsun Kuan'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 Chien‐Tsun Kuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Tsun Kuan more than expected).
Fields of papers citing papers by Chien‐Tsun Kuan
This network shows the impact of papers produced by Chien‐Tsun Kuan. 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 Chien‐Tsun Kuan. The network helps show where Chien‐Tsun Kuan may publish in the future.
Co-authorship network of co-authors of Chien‐Tsun Kuan
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Tsun Kuan. A scholar is included among the top collaborators of Chien‐Tsun Kuan 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 Chien‐Tsun Kuan. Chien‐Tsun Kuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 25 | |
| 3 | 10 | |
| 4 | 58 | |
| 5 | 8 | |
| 6 | 66 | |
| 7 | 26 | |
| 8 | 18 | |
| 9 | 21 | |
| 10 | 85 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | 37 | |
| 15 | 132 | |
| 16 | 247 | |
| 17 | 20 | |
| 18 | 42 | |
| 19 | 60 | |
| 20 | 24 |
About Chien‐Tsun Kuan
Chien‐Tsun Kuan is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Structural Biology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Toxin Mechanisms and Immunotoxins (15 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). The work is most often cited by research in Oncology (655 citations), Genetics (245 citations) and Immunology (442 citations). Chien‐Tsun Kuan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Darell D. Bigner, Carol J. Wikstrand, Ira Pastan, Michael R. Zalutsky, Charles N. Pegram, Stephen T. Keir, Gary E. Archer, Roger E. McLendon, John H. Sampson and Vidyalakshmi Chandramohan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.