Ping Mu

5.7k total citations · 1 hit paper
36 papers, 3.0k citations indexed

About

Ping Mu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ping Mu has authored 36 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ping Mu's work include Prostate Cancer Treatment and Research (10 papers), MicroRNA in disease regulation (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Ping Mu is often cited by papers focused on Prostate Cancer Treatment and Research (10 papers), MicroRNA in disease regulation (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Ping Mu collaborates with scholars based in United States, China and Singapore. Ping Mu's co-authors include Andrea Ventura, Xin Jin, Doron Betel, Evelyn Yao, Paul Ogrodowski, Aleco D’Andrea, Yan Dong, Oliver M. Schlüter, Eduardo Cortes Gomez and Henry W. Long and has published in prestigious journals such as Science, Neuron and Nature Genetics.

In The Last Decade

Ping Mu

35 papers receiving 2.9k citations

Hit Papers

Rb1 and Trp53 cooperate to suppress prostate cancer linea... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Mu United States 18 1.8k 1.2k 556 547 471 36 3.0k
Christoph P. Beier Denmark 30 1.6k 0.9× 1.0k 0.9× 247 0.4× 371 0.7× 1.4k 3.0× 82 3.9k
Dongqing Wang China 23 1.4k 0.8× 531 0.4× 243 0.4× 305 0.6× 172 0.4× 45 2.5k
Manuel Valiente Spain 23 1.6k 0.9× 561 0.5× 1.1k 1.9× 703 1.3× 1.2k 2.5× 47 3.9k
Wange Lu United States 26 2.2k 1.3× 582 0.5× 207 0.4× 307 0.6× 200 0.4× 70 2.8k
Honglai Zhang China 22 1.8k 1.0× 477 0.4× 261 0.5× 250 0.5× 929 2.0× 47 2.8k
Hugo Guerrero‐Cazares United States 36 1.8k 1.0× 704 0.6× 297 0.5× 426 0.8× 554 1.2× 90 3.6k
Corinna Klein Germany 20 1.4k 0.8× 657 0.6× 188 0.3× 731 1.3× 798 1.7× 43 2.9k
Cindy K. Miranti United States 30 2.3k 1.3× 498 0.4× 414 0.7× 725 1.3× 643 1.4× 56 3.9k
Atsushi Natsume Japan 42 2.4k 1.4× 1.1k 1.0× 504 0.9× 306 0.6× 1.3k 2.9× 189 5.2k
Casey A. Maguire United States 34 4.2k 2.4× 1.5k 1.3× 136 0.2× 287 0.5× 354 0.8× 74 5.3k

Countries citing papers authored by Ping Mu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Mu. A scholar is included among the top collaborators of Ping Mu 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 Mu. Ping Mu 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.
Li, Xiaoling, Eric E. Gardner, Sonia Molina‐Pinelo, et al.. (2025). Lineage plasticity and histological transformation: tumor histology as a spectrum. Cell Research. 35(11). 803–823. 1 indexed citations
2.
Mu, Ping, Yaru Xu, & Su Deng. (2024). Abstract 5878: ZNF397 loss triggers TET2-driven epigenetic rewiring, lineage plasticity, and AR-targeted therapy resistance. Cancer Research. 84(6_Supplement). 5878–5878. 1 indexed citations
3.
Deng, Su, Carla R. Tirado, Meiling Wang, et al.. (2024). Hyd/UBR5 defines a tumor suppressor pathway that links Polycomb repressive complex to regulated protein degradation in tissue growth control and tumorigenesis. Genes & Development. 38(13-14). 675–691. 2 indexed citations
4.
Savage, Trisha K., Su Deng, Ping Mu, et al.. (2023). Abstract PR004: Exploring the role of ASCL1 in neuroendocrine prostate cancer. Cancer Research. 83(11_Supplement). PR004–PR004. 1 indexed citations
5.
Tirado, Carla R., Choushi Wang, Xiaoling Li, et al.. (2023). UBE2J1 is the E2 ubiquitin-conjugating enzyme regulating androgen receptor degradation and antiandrogen resistance. Oncogene. 43(4). 265–280. 5 indexed citations
6.
Li, Yanran, Si Wang, Ping Mu, et al.. (2020). Effect of size and crystalline phase of TiO2 nanotubes on cell behaviors: A high throughput study using gradient TiO2 nanotubes. Bioactive Materials. 5(4). 1062–1070. 48 indexed citations
7.
Mu, Ping, et al.. (2020). Overcoming oncogene addiction in breast and prostate cancers: a comparative mechanistic overview. Endocrine Related Cancer. 28(2). R31–R46. 3 indexed citations
8.
Lin, Chun‐Jung, Eun-Jin Yun, U‐Ging Lo, et al.. (2019). The paracrine induction of prostate cancer progression by caveolin-1. Cell Death and Disease. 10(11). 834–834. 51 indexed citations
9.
Ku, Sheng‐Yu, Spencer R. Rosario, Yanqing Wang, et al.. (2017). Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance. Science. 355(6320). 78–83. 680 indexed citations breakdown →
10.
Vidigal, Joana A., Ping Mu, Evelyn Yao, et al.. (2015). An allelic series of miR-17∼92–mutant mice uncovers functional specialization and cooperation among members of a microRNA polycistron. Nature Genetics. 47(7). 766–775. 88 indexed citations
11.
Mu, Ping. (2015). MicroRNAs in Prostate Cancer: Small RNAs with Big Roles. Journal of Clinical & Cellular Immunology. 6(2). 1 indexed citations
12.
Ma, Xinting, Juhua Zhou, Zhong Yin, et al.. (2014). Expression, Regulation and Function of MicroRNAs in Multiple Sclerosis. International Journal of Medical Sciences. 11(8). 810–818. 172 indexed citations
13.
Concepcion, Carla P., Ping Mu, Ciro Bonetti, et al.. (2012). Intact p53-Dependent Responses in miR-34–Deficient Mice. PLoS Genetics. 8(7). e1002797–e1002797. 164 indexed citations
14.
Brown, Travis E., Brian Lee, Ping Mu, et al.. (2011). A Silent Synapse-Based Mechanism for Cocaine-Induced Locomotor Sensitization. Journal of Neuroscience. 31(22). 8163–8174. 150 indexed citations
15.
Mu, Ping, Peter A. Neumann, Jaak Panksepp, Oliver M. Schlüter, & Yan Dong. (2010). Exposure to Cocaine Alters Dynorphin-Mediated Regulation of Excitatory Synaptic Transmission in Nucleus Accumbens Neurons. Biological Psychiatry. 69(3). 228–235. 27 indexed citations
16.
Yang, Jr-Shiuan, Michael D. Phillips, Doron Betel, et al.. (2010). Widespread regulatory activity of vertebrate microRNA* species. RNA. 17(2). 312–326. 277 indexed citations
17.
Ishikawa, Masago, Ping Mu, Jason T. Moyer, et al.. (2009). Homeostatic Synapse-Driven Membrane Plasticity in Nucleus Accumbens Neurons. Journal of Neuroscience. 29(18). 5820–5831. 97 indexed citations
18.
Mu, Ping, Doron Betel, Evelyn Yao, et al.. (2009). Genetic dissection of the miR-17∼92 cluster of microRNAs in Myc-induced B-cell lymphomas. Genes & Development. 23(24). 2806–2811. 376 indexed citations
19.
Huang, Yanhua H., Ying Lin, Ping Mu, et al.. (2009). In Vivo Cocaine Experience Generates Silent Synapses. Neuron. 63(1). 40–47. 205 indexed citations
20.
Mu, Ping, et al.. (2007). Valproic acid sodium inhibits the morphine-induced conditioned place preference in the central nervous system of rats. Neuroscience Letters. 426(3). 135–138. 12 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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