Kun‐Ming Rau
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Oncology top 5%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 31
- Colorectal Cancer Treatments and Studies 7
- Lung Cancer Research Studies 7
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- Gastric Cancer Management and Outcomes 9
- Lung Cancer Treatments and Mutations 7
- Co-authors
- Shau-Hsuan Li (6 shared papers)Chien-Ting Liu (6 shared papers)Yu‐Li Su (9 shared papers)Yen‐Hao Chen (4 shared papers)Tai‐Lin Huang (3 shared papers)Yen‐Yang Chen (8 shared papers)Yeh Tang (3 shared papers)Daih‐Huang Kuo (1 shared paper)
- Journals
- Journal of Clinical Oncology (11 papers)PLoS ONE (4 papers)Clinical Cancer Research (2 papers)Journal of Cancer (2 papers)Liver Cancer (2 papers)
- Partner nations
- TaiwanSouth KoreaUnited States
In The Last Decade
Kun‐Ming Rau
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Hepatology 261
- Oncology 459
- Geriatrics and Gerontology 59
- Cancer Research 183
- Pulmonary and Respiratory Medicine 350
Countries citing papers authored by Kun‐Ming Rau
This map shows the geographic impact of Kun‐Ming Rau'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 Kun‐Ming Rau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Ming Rau more than expected).
Fields of papers citing papers by Kun‐Ming Rau
This network shows the impact of papers produced by Kun‐Ming Rau. 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 Kun‐Ming Rau. The network helps show where Kun‐Ming Rau may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Ming Rau, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 112 | |
| 2 | 2014 | 86 | |
| 3 | 2005 | 83 | |
| 4 | 2018 | 75 | |
| 5 | 2015 | 71 | |
| 6 | 2012 | 57 | |
| 7 | 2017 | 51 | |
| 8 | 2013 | 41 | |
| 9 | 2012 | 38 | |
| 10 | 2016 | 34 | |
| 11 | 2019 | 34 | |
| 12 | 2013 | 30 | |
| 13 | 2017 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 2016 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2012 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2019 | 19 |
About Kun‐Ming Rau
Kun‐Ming Rau is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Hepatology and Cancer Research, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Treatments and Studies (7 papers), Lung Cancer Research Studies (7 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer, Lipids, and Metabolism (6 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Hepatology (261 citations), Oncology (459 citations), Geriatrics and Gerontology (59 citations), Cancer Research (183 citations) and Pulmonary and Respiratory Medicine (350 citations). Kun‐Ming Rau has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Shau-Hsuan Li, Chien-Ting Liu, Yu‐Li Su, Yen‐Hao Chen, Tai‐Lin Huang, Yen‐Yang Chen, Yeh Tang, Daih‐Huang Kuo, Shih‐Chang Tsai and Wei J. Chen. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Clinical Cancer Research, Journal of Cancer and Liver Cancer.
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.