Curtis R. Chong
- Molecular Biology top 5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- David SullivanPasi A. JänneJun O. LiuLirong ShiShridhar BhatXiaochun ChenJing XuCarol A. Beuchat
- Topics
- Peptidase Inhibition and Analysis (9 papers)Cancer Immunotherapy and Biomarkers (6 papers)Protease and Inhibitor Mechanisms (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Curtis R. Chong
45 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.9k
- Oncology 1.2k
- Pulmonary and Respiratory Medicine 650
- Epidemiology 588
- Computational Theory and Mathematics 446
Countries citing papers authored by Curtis R. Chong
This map shows the geographic impact of Curtis R. Chong'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 Curtis R. Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis R. Chong more than expected).
Fields of papers citing papers by Curtis R. Chong
This network shows the impact of papers produced by Curtis R. Chong. 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 Curtis R. Chong. The network helps show where Curtis R. Chong may publish in the future.
Co-authorship network of co-authors of Curtis R. Chong
This figure shows the co-authorship network connecting the top 25 collaborators of Curtis R. Chong. A scholar is included among the top collaborators of Curtis R. Chong 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 Curtis R. Chong. Curtis R. Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | 67 | |
| 3 | 21 | |
| 4 | 115 | |
| 5 | 69 | |
| 6 | 33 | |
| 7 | 141 | |
| 8 | 421 | |
| 9 | 95 | |
| 10 | Abstract #5582: Itraconazole as a novel Hedgehog pathway antagonist in cancer therapy | 1 |
| 11 | 92 | |
| 12 | In vivo testing of Mycophenolic acid (MPA) in primary pancreatic cancer (PaCa) xenografts | 1 |
| 13 | New uses for old drugsbreakdown → | 794 |
| 14 | 190 | |
| 15 | 82 | |
| 16 | 221 | |
| 17 | 47 | |
| 18 | 88 | |
| 19 | 78 | |
| 20 | 7 |
About Curtis R. Chong
Curtis R. Chong is a scholar working on Oncology, Cancer Research and Pharmacy, having authored 45 papers that have together received 4.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Oncology (1.2k citations), Computational Theory and Mathematics (446 citations) and Molecular Biology (1.9k citations). Curtis R. Chong has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include David Sullivan, Pasi A. Jänne, Jun O. Liu, Lirong Shi, Shridhar Bhat, Xiaochun Chen, Jing Xu, Carol A. Beuchat, Jun Lu and Joong Sup Shim. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.