Richard J. Epstein
- Oncology top 2%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Thomas YauEhrhardt AaJohn MoneyXiaomei OuyangI. W. F. HanhamBrian DrukerPierre ChanRonnie T.P. Poon
- Topics
- HER2/EGFR in Cancer Research (23 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)Breast Cancer Treatment Studies (12 papers)
- Cited by
- OncologyCancer ResearchHepatology
In The Last Decade
Richard J. Epstein
127 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 141
- Oncology 1.3k
- Molecular Biology 1.3k
- Pulmonary and Respiratory Medicine 735
- Cancer Research 584
- Radiology, Nuclear Medicine and Imaging 580
Countries citing papers authored by Richard J. Epstein
This map shows the geographic impact of Richard J. Epstein'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 Richard J. Epstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Epstein more than expected).
Fields of papers citing papers by Richard J. Epstein
This network shows the impact of papers produced by Richard J. Epstein. 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 Richard J. Epstein. The network helps show where Richard J. Epstein may publish in the future.
Co-authorship network of co-authors of Richard J. Epstein
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Epstein. A scholar is included among the top collaborators of Richard J. Epstein 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 Richard J. Epstein. Richard J. Epstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 32 | |
| 8 | Clinicopathological correlates in a cohort of Hong Kong breast cancer patients presenting with screen-detected or symptomatic disease. | 6 |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | 22 | |
| 16 | 21 | |
| 17 | Preferential detection of catalytically inactive c-erbB-2 by antibodies to unphosphorylated peptides mimicking receptor tyrosine autophosphorylation sites. | 13 |
| 18 | 52 | |
| 19 | 29 | |
| 20 | 4 |
About Richard J. Epstein
Richard J. Epstein is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 129 papers that have together received 3.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (23 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Breast Cancer Treatment Studies (12 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (584 citations) and Hepatology (265 citations). Richard J. Epstein has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Thomas Yau, Ehrhardt Aa, John Money, Xiaomei Ouyang, I. W. F. Hanham, Brian Druker, Pierre Chan, Ronnie T.P. Poon, Paul J. Smith and Guo Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.
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.