Hung-Ping Shih

2.5k citations
32 papers · 1.9k indexed · h-index 17
  • Surgery top 2%
    • Pancreatic function and diabetes 21
  • Genetics top 5%
    • Diabetes and associated disorders 8
    • Genetics and Neurodevelopmental Disorders 3
    • Diabetes Management and Research 5
    • Congenital heart defects research 7
    • Pluripotent Stem Cells Research 6
    • Developmental Biology and Gene Regulation 6
    • Muscle Physiology and Disorders 4
  • Oncology top 10%

Hung-Ping Shih

32 papers receiving 1.8k citations

Peers

Hung-Ping Shih
Comparison fields: 5 of 77
  • Surgery 1.2k
  • Genetics 635
  • Endocrinology, Diabetes and Metabolism 338
  • Molecular Biology 1.0k
  • Oncology 242
Replace Philip A. Seymour with:
Philip A. Seymour Denmark
Monica Teta United States
Stefan Bonné Belgium
Susan Eliazer United States
A. Bardoel Netherlands
Emmanuel E. Baetge United States
Seh‐Hoon Oh United States
Mark M. Taketo Japan
Diana C. Chong United States
Keith Foster United Kingdom
Hung-Ping Shih relative to Philip A. Seymour Denmark Philip A. Seymour's profile →
Citations per field
00.5×1.5×
Philip A. Seymour · 1×
Citations per year

Countries citing papers authored by Hung-Ping Shih

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Hung-Ping Shih Line = papers co-authored together Hung-Ping Shih links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20231
4 202311
5 202312
6 202026
7 201915
8 201727
9 201562
10 201561
11 201411
12 201395
13 2012173
14 201213
15 201216
16 201131
17 200899
18 200819
19 200747
20 200659

About Hung-Ping Shih

Hung-Ping Shih is a scholar working on Surgery, Genetics and Molecular Biology, 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) and Endocrinology, Diabetes and Metabolism (338 citations). Hung-Ping Shih has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Maike Sander, Philip A. Seymour, Janel L. Kopp, Claire L. Dubois, Allen Wang, Michael Groß, Chrissa Kioussi, Ergeng Hao, Ashleigh E. Schaffer and Jingyi Ma. 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.

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2026