Ronald Chan
- Hepatology top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation 3
- Immunology top 10%
- Health Informatics top 10%
- Oncology top 10%
- Colorectal Cancer Screening and Detection 3
- Pancreatic and Hepatic Oncology Research 3
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- AI in cancer detection 8
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- Radiomics and Machine Learning in Medical Imaging 7
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- Lung Cancer Diagnosis and Treatment 3
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- Gut microbiota and health 3
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- Cancer and Skin Lesions 3
- Co-authors
- William J. MullerLynn M. MatrisianLaura A. Rudolph‐OwenSubrata GhoshAito UenoKa‐Fai ToGilaad G. KaplanRemo Panaccione
- Cited by
- HepatologyCancer ResearchImmunology
In The Last Decade
Ronald Chan
49 papers receiving 1.2k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2020 | 33 | |
| 15 | 2015 | 99 | |
| 16 | 2014 | 30 | |
| 17 | 2013 | 176 | |
| 18 | The matrix metalloproteinase matrilysin influences early-stage mammary tumorigenesis. | 1998 | 133 |
| 19 | 1997 | 34 | |
| 20 | 1984 | 9 |
About Ronald Chan
Ronald Chan is a scholar working on Microbiology, General Dentistry, Biophysics, Oncology and Clinical Biochemistry, 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), Colorectal Cancer Screening and Detection (3 papers), MicroRNA in disease regulation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Gut microbiota and health (3 papers) and Cancer and Skin Lesions (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 William J. Muller, Lynn M. Matrisian, Laura A. Rudolph‐Owen, Subrata Ghosh, Aito Ueno, Ka‐Fai To, Gilaad G. Kaplan, Remo Panaccione, Paul L. Beck and Herman W. Barkema. 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.