Ping Pan

554 total citations
17 papers, 388 citations indexed

About

Ping Pan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Ping Pan has authored 17 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Cancer Research. Recurrent topics in Ping Pan's work include Retinal Development and Disorders (10 papers), Developmental Biology and Gene Regulation (5 papers) and Photoreceptor and optogenetics research (3 papers). Ping Pan is often cited by papers focused on Retinal Development and Disorders (10 papers), Developmental Biology and Gene Regulation (5 papers) and Photoreceptor and optogenetics research (3 papers). Ping Pan collaborates with scholars based in United States, China and Italy. Ping Pan's co-authors include Chai‐An Mao, William H. Klein, Takae Kiyama, Steven W. Wang, Jang-Hyeon Cho, Yasuhide Furuta, Anna‐Katerina Hadjantonakis, Zhiguang Gao, Xiuqian Mu and Guanhua Xu and has published in prestigious journals such as Development, The Journal of Comparative Neurology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Ping Pan

17 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Pan United States 11 290 75 63 53 47 17 388
Giovanna Alfano United Kingdom 13 480 1.7× 72 1.0× 146 2.3× 69 1.3× 116 2.5× 22 621
Serena Mirra Spain 11 220 0.8× 62 0.8× 31 0.5× 24 0.5× 49 1.0× 20 314
Ken J. Lindsay United States 5 465 1.6× 131 1.7× 68 1.1× 34 0.6× 272 5.8× 7 553
Kimberly A. Toops United States 13 302 1.0× 48 0.6× 10 0.2× 69 1.3× 242 5.1× 18 500
Katsuaki Miki Japan 12 293 1.0× 66 0.9× 14 0.2× 50 0.9× 209 4.4× 23 491
Andreas Lipski Germany 7 332 1.1× 52 0.7× 64 1.0× 10 0.2× 48 1.0× 10 500
Takahisa Koga Japan 16 301 1.0× 52 0.7× 20 0.3× 145 2.7× 356 7.6× 24 651
Kathryn Louie United States 9 272 0.9× 60 0.8× 26 0.4× 73 1.4× 82 1.7× 10 453
Yun‐Qian Gao China 10 263 0.9× 36 0.5× 50 0.8× 88 1.7× 4 0.1× 18 393

Countries citing papers authored by Ping Pan

Since Specialization
Citations

This map shows the geographic impact of Ping Pan'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 Ping Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Pan more than expected).

Fields of papers citing papers by Ping Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping Pan. 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 Ping Pan. The network helps show where Ping Pan may publish in the future.

Co-authorship network of co-authors of Ping Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Pan. A scholar is included among the top collaborators of Ping Pan 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 Ping Pan. Ping Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Pan, Ping, et al.. (2025). Sarsasapogenin Inhibits HCT116 and Caco‐2 Cell Malignancy and Tumor Growth in a Xenograft Mouse Model of Colorectal Cancer by Inactivating MAPK Signaling. Journal of Biochemical and Molecular Toxicology. 39(3). e70189–e70189. 1 indexed citations
2.
Chen, Ching‐Kang, Takae Kiyama, Christopher M. Whitaker, et al.. (2021). Characterization of Tbr2‐expressing retinal ganglion cells. The Journal of Comparative Neurology. 529(15). 3513–3532. 12 indexed citations
3.
Pan, Ping, et al.. (2020). Routine preoperative endoscopy in patients undergoing bariatric surgery. Surgery for Obesity and Related Diseases. 16(6). 745–750. 14 indexed citations
4.
Wang, Yunchao, et al.. (2019). The regulatory role of microRNA-mRNA co-expression in hepatitis B virus-associated acute liver failure. Annals of Hepatology. 18(6). 883–892. 7 indexed citations
5.
Li, Fangfang, Zhen Zhang, Peng Wang, et al.. (2019). ALC1 knockdown enhances cisplatin cytotoxicity of esophageal squamous cell carcinoma cells by inhibition of glycolysis through PI3K/Akt pathway. Life Sciences. 232. 116679–116679. 17 indexed citations
6.
Xu, Guanhua, et al.. (2019). Key Regulatory Effect of Activated HIF-1α/VEGFA Signaling Pathway in Systemic Capillary Leak Syndrome Confirmed by Bioinformatics Analysis. Journal of Computational Biology. 27(6). 914–922. 6 indexed citations
7.
Xu, Guanhua, et al.. (2019). The miR-15a-5p-XIST-CUL3 regulatory axis is important for sepsis-induced acute kidney injury. Renal Failure. 41(1). 955–966. 52 indexed citations
8.
Kiyama, Takae, Ching-Kang Chen, Steven W. Wang, et al.. (2018). Essential roles of mitochondrial biogenesis regulator Nrf1 in retinal development and homeostasis. Molecular Neurodegeneration. 13(1). 56–56. 63 indexed citations
9.
Mao, Chai‐An, Lian‐Ming Tian, Harry Liu, et al.. (2017). Roles of Tbr1 in retinal ganglion cell subtype formation. Investigative Ophthalmology & Visual Science. 58(8). 1767–1767. 1 indexed citations
10.
Mao, Chai‐An, Cavit Ağca, Jing Wang, et al.. (2016). Substituting mouse transcription factor Pou4f2 with a sea urchin orthologue restores retinal ganglion cell development. Proceedings of the Royal Society B Biological Sciences. 283(1826). 20152978–20152978. 5 indexed citations
11.
Gao, Zhiguang, Chai‐An Mao, Ping Pan, Xiuqian Mu, & William H. Klein. (2014). Transcriptome of Atoh7 retinal progenitor cells identifies new Atoh7‐dependent regulatory genes for retinal ganglion cell formation. Developmental Neurobiology. 74(11). 1123–1140. 28 indexed citations
12.
Mao, Chai‐An, Jang‐Hyeon Cho, Jing Wang, et al.. (2013). Reprogramming amacrine and photoreceptor progenitors into retinal ganglion cells by replaceing Neurod1 with Atoh7. Development. 140(13). 2849–2849. 1 indexed citations
13.
Mao, Chai‐An, Jang-Hyeon Cho, Jing Wang, et al.. (2013). Reprogramming amacrine and photoreceptor progenitors into retinal ganglion cells by replacing Neurod1 with Atoh7. Development. 140(3). 541–551. 34 indexed citations
14.
Kiyama, Takae, Chai‐An Mao, Jang-Hyeon Cho, et al.. (2010). Overlapping spatiotemporal patterns of regulatory gene expression are required for neuronal progenitors to specify retinal ganglion cell fate. Vision Research. 51(2). 251–259. 26 indexed citations
15.
Mao, Chai‐An, Wen-Wei Tsai, Jang-Hyeon Cho, et al.. (2010). Neuronal transcriptional repressor REST suppresses an Atoh7-independent program for initiating retinal ganglion cell development. Developmental Biology. 349(1). 90–99. 23 indexed citations
16.
Mao, Chai‐An, Steven W. Wang, Ping Pan, & William H. Klein. (2008). Rewiring the retinal ganglion cell gene regulatory network: Neurod1 promotes retinal ganglion cell fate in the absence of Math5. Development. 135(20). 3379–3388. 34 indexed citations
17.
Mao, Chai‐An, Takae Kiyama, Ping Pan, et al.. (2007). Eomesodermin, a target gene of Pou4f2, is required for retinal ganglion cell and optic nerve development in the mouse. Development. 135(2). 271–280. 64 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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