Hung-Ping Shih

2.5k total citations
32 papers, 1.9k citations indexed

About

Hung-Ping Shih is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Hung-Ping Shih has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Surgery and 13 papers in Genetics. Recurrent topics in Hung-Ping Shih's work include Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (8 papers) and Congenital heart defects research (7 papers). Hung-Ping Shih is often cited by papers focused on Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (8 papers) and Congenital heart defects research (7 papers). Hung-Ping Shih collaborates with scholars based in United States, Australia and United Kingdom. Hung-Ping Shih's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Hung-Ping Shih

32 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hung-Ping Shih United States 17 1.2k 1.0k 635 338 242 32 1.9k
Philip A. Seymour Denmark 18 1.5k 1.2× 1.1k 1.1× 855 1.3× 469 1.4× 253 1.0× 25 2.0k
Monica Teta United States 8 1.0k 0.9× 822 0.8× 714 1.1× 514 1.5× 161 0.7× 9 1.7k
Stefan Bonné Belgium 17 1.0k 0.8× 1.1k 1.1× 669 1.1× 484 1.4× 176 0.7× 20 2.1k
Seh‐Hoon Oh United States 18 681 0.6× 590 0.6× 201 0.3× 124 0.4× 88 0.4× 31 1.4k
Susan Eliazer United States 14 3.2k 2.6× 3.5k 3.4× 1.3k 2.1× 904 2.7× 171 0.7× 14 4.8k
Mark M. Taketo Japan 5 222 0.2× 1.1k 1.1× 250 0.4× 150 0.4× 462 1.9× 5 1.6k
Diana C. Chong United States 16 296 0.2× 648 0.6× 170 0.3× 100 0.3× 84 0.3× 18 1.0k
Emmanuel E. Baetge United States 8 3.7k 3.1× 3.5k 3.4× 1.4k 2.3× 1.1k 3.2× 123 0.5× 9 4.9k
Keith Foster United Kingdom 21 349 0.3× 1.3k 1.3× 335 0.5× 67 0.2× 302 1.2× 32 2.2k
A. Bardoel Netherlands 13 326 0.3× 461 0.5× 466 0.7× 147 0.4× 154 0.6× 14 1.3k

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 of co-authors of Hung-Ping Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Ping Shih. A scholar is included among the top collaborators of Hung-Ping Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hung-Ping Shih. Hung-Ping Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Filipowska, Joanna, Peng Wang, Geming Lu, et al.. (2025). LGR4 is essential for maintaining β-cell homeostasis through suppression of RANK. Molecular Metabolism. 92. 102097–102097. 2 indexed citations
2.
Tai, Youyi, et al.. (2024). Nanofiber-microwell cell culture system for spatially patterned differentiation of pluripotent stem cells in 3D. Materials Today Bio. 26. 101109–101109. 2 indexed citations
3.
Kato, Hiroyuki, Hung-Ping Shih, Hsun Teresa Ku, et al.. (2023). Ubiquitous Luciferase Expression in “Firefly Rats” Does Not Alter the Pancreatic Islet Morphology, Metabolism, and Function. Cell Transplantation. 32. 4231240353–4231240353. 1 indexed citations
4.
Parveen, Nazia, S. Bhattacharya, Mohan Singh Rajkumar, et al.. (2023). DNA Methylation–Dependent Restriction of Tyrosine Hydroxylase Contributes to Pancreatic β-Cell Heterogeneity. Diabetes. 72(5). 575–589. 11 indexed citations
5.
Patel, Nisha, Ryan J. Geusz, Allen Wang, et al.. (2020). LSD1-mediated enhancer silencing attenuates retinoic acid signalling during pancreatic endocrine cell development. Nature Communications. 11(1). 2082–2082. 26 indexed citations
6.
Maldonado, Maricela, Jeffrey Serrill, & Hung-Ping Shih. (2020). Painting the Pancreas in Three Dimensions: Whole-Mount Immunofluorescence Method. Methods in molecular biology. 2155. 193–200. 3 indexed citations
7.
Shih, Hung-Ping, et al.. (2015). ECM Signaling Regulates Collective Cellular Dynamics to Control Pancreas Branching Morphogenesis. Cell Reports. 14(2). 169–179. 62 indexed citations
8.
鷹津, 良樹, Dan Gao, Feng Tao, et al.. (2015). Cells with surface expression of CD133highCD71low are enriched for tripotent colony-forming progenitor cells in the adult murine pancreas. Stem Cell Research. 16(1). 40–53. 31 indexed citations
9.
Shih, Hung-Ping, Philip A. Seymour, Nisha Patel, et al.. (2015). A Gene Regulatory Network Cooperatively Controlled by Pdx1 and Sox9 Governs Lineage Allocation of Foregut Progenitor Cells. Cell Reports. 13(2). 326–336. 61 indexed citations
10.
11.
鷹津, 良樹, Feng Tao, Hung-Ping Shih, et al.. (2013). Colony-forming cells in the adult mouse pancreas are expandable in Matrigel and form endocrine/acinar colonies in laminin hydrogel. Proceedings of the National Academy of Sciences. 110(10). 3907–3912. 95 indexed citations
12.
Shih, Hung-Ping, Janel L. Kopp, Manbir Sandhu, et al.. (2012). A Notch-dependent molecular circuitry initiates pancreatic endocrine and ductal cell differentiation. Development. 139(14). 2488–2499. 173 indexed citations
13.
Shih, Hung-Ping, et al.. (2012). Regulation of Motility of Myogenic Cells in Filling Limb Muscle Anlagen by Pitx2. PLoS ONE. 7(4). e35822–e35822. 16 indexed citations
14.
15.
Dubois, Claire L., et al.. (2011). Sox9-Haploinsufficiency Causes Glucose Intolerance in Mice. PLoS ONE. 6(8). e23131–e23131. 31 indexed citations
16.
Seymour, Philip A., Kristine Freude, Claire L. Dubois, et al.. (2008). A dosage-dependent requirement for Sox9 in pancreatic endocrine cell formation. Developmental Biology. 323(1). 19–30. 99 indexed citations
17.
Jonckheere, Nicolas, Erin Mayes, Hung-Ping Shih, et al.. (2008). Analysis of mPygo2 mutant mice suggests a requirement for mesenchymal Wnt signaling in pancreatic growth and differentiation. Developmental Biology. 318(2). 224–235. 19 indexed citations
18.
Shih, Hung-Ping, Michael Groß, & Chrissa Kioussi. (2007). Muscle development: Forming the head and trunk muscles. Acta Histochemica. 110(2). 97–108. 47 indexed citations
19.
Shih, Hung-Ping, Michael Groß, & Chrissa Kioussi. (2006). Expression pattern of the homeodomain transcription factor Pitx2 during muscle development. Gene Expression Patterns. 7(4). 441–451. 59 indexed citations
20.
Kioussi, Chrissa, et al.. (2006). Prediction of active nodes in the transcriptional network of neural tube patterning. Proceedings of the National Academy of Sciences. 103(49). 18621–18626. 10 indexed citations

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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