Sum-Fu Chiang
Impact in
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Cells and Metastasis
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Screening and Detection
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- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
Papers in
- Co-authors
- Hsin‐Yuan Hung (18 shared papers)Jy‐Ming Chiang (22 shared papers)Reiping Tang (17 shared papers)Jinn‐Shiun Chen (14 shared papers)Wen‐Sy Tsai (21 shared papers)Jeng‐Fu You (23 shared papers)Chien-Yuh Yeh (21 shared papers)Pao‐Shiu Hsieh (22 shared papers)
- Journals
- International Journal of Colorectal Disease (4 papers)Cancers (4 papers)Medicine (3 papers)World Journal of Surgical Oncology (3 papers)Scientific Reports (2 papers)
- Partner nations
- TaiwanUnited StatesSenegal
In The Last Decade
Sum-Fu Chiang
36 papers receiving 596 citations
Peers
Comparison fields: 5 of 70
- Oncology 340
- Cancer Research 130
- Radiology, Nuclear Medicine and Imaging 59
- Health Informatics 3
- Pathology and Forensic Medicine 35
Countries citing papers authored by Sum-Fu Chiang
This map shows the geographic impact of Sum-Fu Chiang'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 Sum-Fu Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sum-Fu Chiang more than expected).
Fields of papers citing papers by Sum-Fu Chiang
This network shows the impact of papers produced by Sum-Fu Chiang. 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 Sum-Fu Chiang. The network helps show where Sum-Fu Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sum-Fu Chiang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 139 | |
| 2 | 2016 | 134 | |
| 3 | 2019 | 68 | |
| 4 | 2021 | 31 | |
| 5 | 2019 | 29 | |
| 6 | 2018 | 24 | |
| 7 | 2022 | 22 | |
| 8 | 2015 | 19 | |
| 9 | 2023 | 13 | |
| 10 | 2012 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2016 | 5 |
About Sum-Fu Chiang
Sum-Fu Chiang is a scholar working on Oncology, Surgery, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 605 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (13 papers), Colorectal Cancer Treatments and Studies (7 papers), Colorectal and Anal Carcinomas (5 papers), Cancer Genomics and Diagnostics (4 papers), Colorectal Cancer Screening and Detection (4 papers), Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Oncology (340 citations), Cancer Research (130 citations), Radiology, Nuclear Medicine and Imaging (59 citations), Health Informatics (3 citations) and Pathology and Forensic Medicine (35 citations). Sum-Fu Chiang has collaborated with scholars based in Taiwan, United States and Senegal. Frequent co-authors include Hsin‐Yuan Hung, Jy‐Ming Chiang, Reiping Tang, Jinn‐Shiun Chen, Wen‐Sy Tsai, Jeng‐Fu You, Chien-Yuh Yeh, Pao‐Shiu Hsieh, Jr‐Rung Lin and Chung Rong Changchien. Their work appears in journals such as International Journal of Colorectal Disease, Cancers, Medicine, World Journal of Surgical Oncology and Scientific Reports.
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.