Ronald Chan
Impact in
- Hepatology top 5%
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
- Oncology 14
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- Gut microbiota and health 3
- Co-authors
- Lynn M. Matrisian (1 shared paper)Laura A. Rudolph‐Owen (1 shared paper)William J. Muller (1 shared paper)Subrata Ghosh (5 shared papers)Aito Ueno (6 shared papers)Ka‐Fai To (10 shared papers)Miriam Fort Gasia (5 shared papers)Remo Panaccione (5 shared papers)
In The Last Decade
Ronald Chan
49 papers receiving 1.2k citations
Ronald Chan's Hit Papers
Peers
Comparison fields: 5 of 118
- Hepatology 119
- Cancer Research 203
- Immunology 240
- Health Informatics 13
- Oncology 239
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | The matrix metalloproteinase matrilysin influences early-stage mammary tumorigenesis. | 1998 | 133 |
| 3 | 2015 | 99 | |
| 4 | 2016 | 73 | |
| 5 | Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Hit paper breakdown → | 2024 | 70 |
| 6 | 2022 | 66 | |
| 7 | 2018 | 62 | |
| 8 | 2019 | 42 | |
| 9 | 1997 | 34 | |
| 10 | 2020 | 33 | |
| 11 | 2016 | 32 | |
| 12 | 2014 | 30 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2021 | 26 | |
| 16 | 2013 | 18 | |
| 17 | 2014 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2022 | 15 |
About Ronald Chan
Ronald Chan is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Artificial Intelligence, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Gut microbiota and health (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (119 citations), Cancer Research (203 citations), Immunology (240 citations), Health Informatics (13 citations) and Oncology (239 citations). Ronald Chan has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Lynn M. Matrisian, Laura A. Rudolph‐Owen, William J. Muller, Subrata Ghosh, Aito Ueno, Ka‐Fai To, Miriam Fort Gasia, Remo Panaccione, Herman W. Barkema and Humberto Jijon. Their work appears in journals such as Inflammatory Bowel Diseases, Pathology, Scientific Reports, Histopathology and Cancer Medicine.
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.