Ronald Chan
Impact in
- Hepatology top 10%
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Laura A. Rudolph‐Owen (1 shared paper)William J. Muller (1 shared paper)Lynn M. Matrisian (1 shared paper)Aito Ueno (6 shared papers)Subrata Ghosh (5 shared papers)Ka‐Fai To (10 shared papers)Humberto Jijon (4 shared papers)Remo Panaccione (5 shared papers)
In The Last Decade
Ronald Chan
51 papers receiving 1.2k citations
Ronald Chan's Hit Papers
Peers
Comparison fields: 5 of 111
- Hepatology 95
- Cancer Research 177
- Immunology 206
- Immunology and Allergy 45
- Oncology 199
Countries citing papers authored by Ronald Chan
This map shows the geographic impact of Ronald Chan'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 Ronald Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald Chan more than expected).
Fields of papers citing papers by Ronald Chan
This network shows the impact of papers produced by Ronald Chan. 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 Ronald Chan. The network helps show where Ronald Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronald Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 180 | |
| 2 | The matrix metalloproteinase matrilysin influences early-stage mammary tumorigenesis. | 1998 | 138 |
| 3 | 2015 | 101 | |
| 4 | 2016 | 77 | |
| 5 | Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Hit paper breakdown → | 2024 | 77 |
| 6 | 2022 | 74 | |
| 7 | 2018 | 65 | |
| 8 | 2019 | 46 | |
| 9 | 1997 | 37 | |
| 10 | 2016 | 33 | |
| 11 | 2020 | 33 | |
| 12 | 2014 | 32 | |
| 13 | 2021 | 31 | |
| 14 | 2020 | 27 | |
| 15 | 2021 | 27 | |
| 16 | 2014 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2022 | 15 |
About Ronald Chan
Ronald Chan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Gut microbiota and health (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Iron Metabolism and Disorders (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hepatology (95 citations), Cancer Research (177 citations), Immunology (206 citations), Immunology and Allergy (45 citations) and Oncology (199 citations). Ronald Chan has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Laura A. Rudolph‐Owen, William J. Muller, Lynn M. Matrisian, Aito Ueno, Subrata Ghosh, Ka‐Fai To, Humberto Jijon, Remo Panaccione, Marietta Iacucci and Herman W. Barkema. Their work appears in journals such as Inflammatory Bowel Diseases, Pathology, Oncogene, Advanced Science and Cancer Cytopathology.
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.