Peter C.C. Fong
- Oncology top 0.5%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 1%
- Genetics top 2%
- Co-authors
- Johann S. de BonoDavid S. BossStan B. KayeTimothy A. YapAndrew TuttAlan AshworthJames CarmichaelMarja Mergui‐Roelvink
- Topics
- Prostate Cancer Treatment and Research (47 papers)PARP inhibition in cancer therapy (38 papers)Cancer Immunotherapy and Biomarkers (24 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Peter C.C. Fong
100 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 3.7k
- Molecular Biology 2.9k
- Pulmonary and Respiratory Medicine 1.4k
- Cancer Research 1.3k
- Genetics 1.0k
Countries citing papers authored by Peter C.C. Fong
This map shows the geographic impact of Peter C.C. Fong'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 Peter C.C. Fong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C.C. Fong more than expected).
Fields of papers citing papers by Peter C.C. Fong
This network shows the impact of papers produced by Peter C.C. Fong. 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 Peter C.C. Fong. The network helps show where Peter C.C. Fong may publish in the future.
Co-authorship network of co-authors of Peter C.C. Fong
This figure shows the co-authorship network connecting the top 25 collaborators of Peter C.C. Fong. A scholar is included among the top collaborators of Peter C.C. Fong 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 Peter C.C. Fong. Peter C.C. Fong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 94 | |
| 15 | 45 | |
| 16 | Poly(ADP)-Ribose Polymerase Inhibition: Frequent Durable Responses in BRCA Carrier Ovarian Cancer Correlating With Platinum-Free Intervalbreakdown → | 745 |
| 17 | 69 | |
| 18 | 52 | |
| 19 | 20 | |
| 20 | Supercritical fluid chromatography and hplc of cyclosporine and fk 506 a new macrolide immunosuppressant | 2 |
About Peter C.C. Fong
Peter C.C. Fong is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 102 papers that have together received 5.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (47 papers), PARP inhibition in cancer therapy (38 papers) and Cancer Immunotherapy and Biomarkers (24 papers). The work is most often cited by research in Oncology (3.7k citations), Reproductive Medicine (909 citations) and Cancer Research (1.3k citations). Peter C.C. Fong has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Johann S. de Bono, David S. Boss, Stan B. Kaye, Timothy A. Yap, Andrew Tutt, Alan Ashworth, James Carmichael, Marja Mergui‐Roelvink, Jan H.M. Schellens and Peijun Wu. Their work appears in journals such as New England Journal of Medicine, The Lancet 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.