Hung-Ping Shih
Impact in
Papers in
-
- Congenital heart defects research 7
- Pluripotent Stem Cells Research 6
- Developmental Biology and Gene Regulation 6
- Muscle Physiology and Disorders 4
- Surgery 21
- Pancreatic function and diabetes 21
- Co-authors
- Maike Sander (12 shared papers)Philip A. Seymour (6 shared papers)Janel L. Kopp (4 shared papers)Claire L. Dubois (4 shared papers)Allen Wang (4 shared papers)Michael Groß (7 shared papers)Chrissa Kioussi (5 shared papers)Jingyi Ma (1 shared paper)
- Journals
- PLoS ONE (5 papers)Proceedings of the National Academy of Sciences (4 papers)Development (3 papers)Cell Reports (2 papers)Developmental Biology (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Hung-Ping Shih
32 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 77
- Surgery 1.2k
- Genetics 635
- Endocrinology, Diabetes and Metabolism 338
- Molecular Biology 1.0k
- Oncology 242
Countries citing papers authored by Hung-Ping Shih
This map shows the geographic impact of Hung-Ping Shih'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 Hung-Ping Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Ping Shih more than expected).
Fields of papers citing papers by Hung-Ping Shih
This network shows the impact of papers produced by Hung-Ping Shih. 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 Hung-Ping Shih. The network helps show where Hung-Ping Shih may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung-Ping Shih, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 364 | |
| 2 | 2013 | 225 | |
| 3 | 2013 | 199 | |
| 4 | 2012 | 173 | |
| 5 | 2007 | 107 | |
| 6 | 2008 | 99 | |
| 7 | 2013 | 95 | |
| 8 | 2012 | 87 | |
| 9 | 2015 | 62 | |
| 10 | 2015 | 61 | |
| 11 | 2006 | 59 | |
| 12 | 2007 | 47 | |
| 13 | 2011 | 31 | |
| 14 | 2015 | 31 | |
| 15 | 2017 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2008 | 19 | |
| 18 | 2019 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2019 | 15 |
About Hung-Ping Shih
Hung-Ping Shih is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (8 papers), Congenital heart defects research (7 papers), Pluripotent Stem Cells Research (6 papers), Developmental Biology and Gene Regulation (6 papers), Diabetes Management and Research (5 papers), Muscle Physiology and Disorders (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Surgery (1.2k citations), Genetics (635 citations), Endocrinology, Diabetes and Metabolism (338 citations), Molecular Biology (1.0k citations) and Oncology (242 citations). Hung-Ping Shih has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Maike Sander, Philip A. Seymour, Janel L. Kopp, Claire L. Dubois, Allen Wang, Michael Groß, Chrissa Kioussi, Jingyi Ma, Ergeng Hao and Ashleigh E. Schaffer. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Development, Cell Reports and Developmental Biology.
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.