J.-C. Yu
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Regulation of Appetite and Obesity
Papers in
- Surgery 9
- Gastrointestinal disorders and treatments 3
- Hernia repair and management 2
- Nausea and vomiting management 1
- Intestinal and Peritoneal Adhesions 1
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- Hepatocellular Carcinoma Treatment and Prognosis 6
- Co-authors
- Y.-L. Lo (1 shared paper)Yuh‐Shan Jou (1 shared paper)Chiun‐Sheng Huang (1 shared paper)Chen‐Yang Shen (1 shared paper)Cheng-Han Wu (1 shared paper)Chung-Bao Hsieh (6 shared papers)Ching‐Tang Wu (2 shared papers)Francesco Bianchi-Demicheli (4 shared papers)
In The Last Decade
J.-C. Yu
27 papers receiving 657 citations
Peers
Comparison fields: 5 of 71
- Hepatology 88
- Endocrine and Autonomic Systems 45
- Cancer Research 95
- Anesthesiology and Pain Medicine 32
- Oncology 128
Countries citing papers authored by J.-C. Yu
This map shows the geographic impact of J.-C. Yu'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 J.-C. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-C. Yu more than expected).
Fields of papers citing papers by J.-C. Yu
This network shows the impact of papers produced by J.-C. Yu. 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 J.-C. Yu. The network helps show where J.-C. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside J.-C. Yu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 167 | |
| 2 | Genome-wide search for loss of heterozygosity using laser capture microdissected tissue of breast carcinoma: an implication for mutator phenotype and breast cancer pathogenesis. | 2000 | 133 |
| 3 | 2000 | 65 | |
| 4 | 2010 | 34 | |
| 5 | 2005 | 33 | |
| 6 | 1997 | 26 | |
| 7 | 2008 | 25 | |
| 8 | 2004 | 25 | |
| 9 | 2020 | 25 | |
| 10 | 2007 | 22 | |
| 11 | 2011 | 19 | |
| 12 | 2006 | 17 | |
| 13 | 2009 | 11 | |
| 14 | 2007 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2007 | 9 | |
| 18 | 2007 | 9 | |
| 19 | 2011 | 7 | |
| 20 | 2017 | 5 |
About J.-C. Yu
J.-C. Yu is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 27 papers that have together received 678 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Gastrointestinal disorders and treatments (3 papers), Hernia repair and management (2 papers), Cancer Genomics and Diagnostics (1 paper), Nausea and vomiting management (1 paper), Photodynamic Therapy Research Studies (1 paper), Diabetes and associated disorders (1 paper) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Hepatology (88 citations), Endocrine and Autonomic Systems (45 citations), Cancer Research (95 citations), Anesthesiology and Pain Medicine (32 citations) and Oncology (128 citations). J.-C. Yu has collaborated with scholars based in Taiwan, China and Croatia. Frequent co-authors include Y.-L. Lo, Yuh‐Shan Jou, Chiun‐Sheng Huang, Chen‐Yang Shen, Cheng-Han Wu, Chung-Bao Hsieh, Ching‐Tang Wu, Francesco Bianchi-Demicheli, Shung‐Tai Ho and Pao‐Luh Tao. Their work appears in journals such as European Journal of Surgical Oncology, Histopathology, Journal of Surgical Oncology, Diabetologia and Brain Research.
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.