Bee-Chun Sun
Impact in
- Nephrology top 10%
- Parathyroid Disorders and Treatments
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 4
- Cancer Immunotherapy and Biomarkers 1
-
- Computational Drug Discovery Methods 2
- Co-authors
- Paul M. Salvaterra (1 shared paper)Nessa Hawkins (1 shared paper)Victoria Shalhoub (1 shared paper)Jennitte L. Stevens (1 shared paper)William G. Richards (1 shared paper)Sabrina C. Ward (1 shared paper)C. Patrick Reynolds (3 shared papers)Yves Albert DeClerck (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Blood (1 paper)Current Molecular Medicine (1 paper)Cytotherapy (1 paper)Journal of Chromatography B (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Bee-Chun Sun
14 papers receiving 335 citations
Peers
Comparison fields: 5 of 53
- Nephrology 107
- Oncology 44
- Pharmaceutical Science 11
- Genetics 13
- Molecular Biology 93
Countries citing papers authored by Bee-Chun Sun
This map shows the geographic impact of Bee-Chun Sun'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 Bee-Chun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bee-Chun Sun more than expected).
Fields of papers citing papers by Bee-Chun Sun
This network shows the impact of papers produced by Bee-Chun Sun. 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 Bee-Chun Sun. The network helps show where Bee-Chun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Bee-Chun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 132 | |
| 2 | 2007 | 54 | |
| 3 | 1995 | 43 | |
| 4 | 2005 | 30 | |
| 5 | 2013 | 23 | |
| 6 | 2023 | 23 | |
| 7 | 2024 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2013 | 3 | |
| 10 | HEMATOPOIETIC STEM CELLS V | 2005 | 2 |
| 11 | 2023 | 2 | |
| 12 | Cyclophosphamide, but not melphalan or carboplatin, synergistically enhanced topotecan activity against Ewing’s family tumor cell lines in hypoxia | 2005 | 1 |
| 13 | 2006 | 1 | |
| 14 | 2011 | 1 |
About Bee-Chun Sun
Bee-Chun Sun is a scholar working on Oncology, Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmaceutical Science, having authored 14 papers that have together received 341 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Drug Solubulity and Delivery Systems (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Cancer therapeutics and mechanisms (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), ATP Synthase and ATPases Research (1 paper) and Veterinary Oncology Research (1 paper). The work is most often cited by research in Nephrology (107 citations), Oncology (44 citations), Pharmaceutical Science (11 citations), Genetics (13 citations) and Molecular Biology (93 citations). Bee-Chun Sun has collaborated with scholars based in United States and China. Frequent co-authors include Paul M. Salvaterra, Nessa Hawkins, Victoria Shalhoub, Jennitte L. Stevens, William G. Richards, Sabrina C. Ward, C. Patrick Reynolds, Yves Albert DeClerck, Rex A. Moats and Vazgen Khankaldyyan. Their work appears in journals such as Clinical Cancer Research, Blood, Current Molecular Medicine, Cytotherapy and Journal of Chromatography B.
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.