Kun‐Hung Shen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Pharmacology top 5%
- Flavonoids in Medical Research
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Bone Metabolism and Diseases 2
- S100 Proteins and Annexins 2
- Surgery 10
- Bladder and Urothelial Cancer Treatments 8
- Urinary and Genital Oncology Studies 3
- Co-authors
- Yuan‐Wei Shih (4 shared papers)Shun‐Hsing Hung (4 shared papers)Po‐Lin Kuo (4 shared papers)Ya‐Ling Hsu (4 shared papers)Shian-Chin Ko (1 shared paper)Chi‐Sheng Chien (1 shared paper)Jau‐Shyang Huang (1 shared paper)Chien‐Feng Li (10 shared papers)
- Journals
- Molecular and Cellular Biochemistry (2 papers)Pathology (2 papers)International Journal of Molecular Sciences (2 papers)The Journal of Urology (2 papers)Journal of Food Science (2 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Kun‐Hung Shen
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 164
- Pharmacology 151
- Toxicology 31
- Oncology 179
- Biochemistry 40
Countries citing papers authored by Kun‐Hung Shen
This map shows the geographic impact of Kun‐Hung Shen'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‐Hung Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Hung Shen more than expected).
Fields of papers citing papers by Kun‐Hung Shen
This network shows the impact of papers produced by Kun‐Hung Shen. 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‐Hung Shen. The network helps show where Kun‐Hung Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Hung Shen, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 123 | |
| 2 | 2009 | 100 | |
| 3 | 2009 | 97 | |
| 4 | 2012 | 91 | |
| 5 | 2007 | 75 | |
| 6 | 2017 | 74 | |
| 7 | 2010 | 58 | |
| 8 | 2009 | 47 | |
| 9 | 2020 | 46 | |
| 10 | 2015 | 36 | |
| 11 | 2009 | 36 | |
| 12 | 2009 | 34 | |
| 13 | 2004 | 33 | |
| 14 | 2008 | 29 | |
| 15 | 2012 | 28 | |
| 16 | 2016 | 24 | |
| 17 | 2009 | 23 | |
| 18 | 2014 | 23 | |
| 19 | 2011 | 21 | |
| 20 | 2011 | 15 |
About Kun‐Hung Shen
Kun‐Hung Shen is a scholar working on Molecular Biology, Surgery, Immunology, Pathology and Forensic Medicine and Oncology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (8 papers), Galectins and Cancer Biology (3 papers), Urinary and Genital Oncology Studies (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Mechanisms and Therapy (2 papers), Bone Metabolism and Diseases (2 papers), Peptidase Inhibition and Analysis (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Cancer Research (164 citations), Pharmacology (151 citations), Toxicology (31 citations), Oncology (179 citations) and Biochemistry (40 citations). Kun‐Hung Shen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yuan‐Wei Shih, Shun‐Hsing Hung, Po‐Lin Kuo, Ya‐Ling Hsu, Shian-Chin Ko, Chi‐Sheng Chien, Jau‐Shyang Huang, Chien‐Feng Li, Jui‐Hsiang Hung and Ming‐Jiuan Wu. Their work appears in journals such as Molecular and Cellular Biochemistry, Pathology, International Journal of Molecular Sciences, The Journal of Urology and Journal of Food Science.
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.