Yuan Pan

1.7k total citations
54 papers, 917 citations indexed

About

Yuan Pan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuan Pan has authored 54 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuan Pan's work include Glioma Diagnosis and Treatment (12 papers), Magnetic confinement fusion research (7 papers) and Infrastructure Maintenance and Monitoring (5 papers). Yuan Pan is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Magnetic confinement fusion research (7 papers) and Infrastructure Maintenance and Monitoring (5 papers). Yuan Pan collaborates with scholars based in United States, China and South Korea. Yuan Pan's co-authors include David H. Gutmann, Michelle Monje, Xiaofan Guo, Sonika Dahiya, Corina Anastasaki, Min Xiong, Olivia Cobb, Yu Ma, Shilpa Sanapala and Christophe Guilluy and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Yuan Pan

51 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Pan United States 16 235 222 140 138 130 54 917
Hassan M. Fathallah‐Shaykh United States 19 502 2.1× 249 1.1× 147 1.1× 125 0.9× 63 0.5× 62 1.1k
Zengxin Qi China 17 346 1.5× 80 0.4× 102 0.7× 173 1.3× 50 0.4× 59 1.0k
Yuanhao Li China 18 398 1.7× 112 0.5× 85 0.6× 80 0.6× 43 0.3× 84 1.2k
Katherine Liu United States 16 445 1.9× 242 1.1× 41 0.3× 158 1.1× 128 1.0× 32 1.1k
José Javier Otero United States 19 653 2.8× 258 1.2× 96 0.7× 98 0.7× 168 1.3× 82 1.6k
Nolan Ung United States 18 348 1.5× 116 0.5× 109 0.8× 73 0.5× 34 0.3× 41 1.1k
Hiroaki Nagashima Japan 21 554 2.4× 339 1.5× 135 1.0× 124 0.9× 37 0.3× 93 1.4k
Martin Krueger Germany 19 207 0.9× 60 0.3× 77 0.6× 155 1.1× 95 0.7× 53 1.6k
Haowen Zhou United States 13 538 2.3× 89 0.4× 140 1.0× 77 0.6× 37 0.3× 27 974
Zongren Wang China 23 466 2.0× 96 0.4× 59 0.4× 147 1.1× 55 0.4× 69 1.3k

Countries citing papers authored by Yuan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Pan. A scholar is included among the top collaborators of Yuan 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 Yuan Pan. Yuan Pan 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.
Ban, Kechen, Anand Kumar Singh, Khushboo Irshad, et al.. (2025). CNSC-18. SENSORY NEURON ACTIVITY PROMOTES TUMOR PROGRESSION IN MALIGNANT PERIPHERAL NERVE SHEATH TUMOR (MPNST) VIA TRPV1⁺ NOCICEPTOR SIGNALING. Neuro-Oncology. 27(Supplement_5). v57–v57.
2.
Pan, Yuan, et al.. (2025). Disrupting neuron-tumor networking connections. Cell chemical biology. 32(3). 386–388. 1 indexed citations
3.
Pan, Yuan, et al.. (2024). Multi-band Feature Images Concrete Crack Segmentation Framework Using Deep Learning. KSCE Journal of Civil Engineering. 28(9). 3902–3912. 4 indexed citations
4.
Zhou, Shuangxi, Yuan Pan, Jianxin Li, et al.. (2023). Flowability prediction of recycled α-hemihydrate gypsum for 3D powder printing under combined effects of different glidants using response surface methodology. Developments in the Built Environment. 16. 100265–100265. 6 indexed citations
5.
Chen, Yanqiu, Li Gao, Zhongyong Chen, et al.. (2023). Faraday angle prediction based on 1-D CNN on the J-TEXT tokamak. Fusion Engineering and Design. 199. 114101–114101. 1 indexed citations
6.
He, Ying, Nengchao Wang, Yonghua Ding, et al.. (2023). Prevention of mode coupling by external applied resonant magnetic perturbation on the J-TEXT tokamak. Plasma Physics and Controlled Fusion. 65(6). 65011–65011. 1 indexed citations
7.
Li, Feng, Zhongyong Chen, Shengguo Xia, et al.. (2023). Development of electromagnetic pellet injector for disruption mitigation of tokamak plasma. Chinese Physics B. 32(7). 75205–75205. 1 indexed citations
8.
Irshad, Khushboo, et al.. (2023). The Neuroimmune Regulation and Potential Therapeutic Strategies of Optic Pathway Glioma. Brain Sciences. 13(10). 1424–1424. 2 indexed citations
9.
Anastasaki, Corina, Juan Mo, Ji‐Kang Chen, et al.. (2022). Neuronal hyperexcitability drives central and peripheral nervous system tumor progression in models of neurofibromatosis-1. Nature Communications. 13(1). 2785–2785. 51 indexed citations
10.
Zhang, Hongqi, et al.. (2022). Design and control of a new power conditioning system based on superconducting magnetic energy storage. Journal of Energy Storage. 51. 104359–104359. 22 indexed citations
11.
Ding, Yang, Shuangxi Zhou, Yuan Pan, et al.. (2021). Crack Identification Method of Steel Fiber Reinforced Concrete Based on Deep Learning: A Comparative Study and Shared Crack Database. Advances in Materials Science and Engineering. 2021(1). 9 indexed citations
12.
Liu, Zhaohui, et al.. (2021). USP28 promotes aerobic glycolysis of colorectal cancer by increasing stability of FOXC1. Acta Biochimica Polonica. 68(4). 633–639. 9 indexed citations
13.
Pan, Yuan & Michelle Monje. (2020). Activity Shapes Neural Circuit Form and Function: A Historical Perspective. Journal of Neuroscience. 40(5). 944–954. 54 indexed citations
14.
Zhang, Nasha, Yan Zheng, Li Zhang, et al.. (2018). miR-608 and miR-4513 significantly contribute to the prognosis of lung adenocarcinoma treated with EGFR-TKIs. Laboratory Investigation. 99(4). 568–576. 31 indexed citations
15.
Pan, Yuan, et al.. (2018). Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes. Bulletin of Mathematical Biology. 81(9). 3655–3673. 19 indexed citations
16.
Pan, Yuan, Min Xiong, Ran Chen, et al.. (2018). Athymic mice reveal a requirement for T-cell–microglia interactions in establishing a microenvironment supportive ofNf1low-grade glioma growth. Genes & Development. 32(7-8). 491–496. 54 indexed citations
17.
Xu, Xiaoping, Xiaohua Li, Lei Zhang, et al.. (2017). Enhancement of Wound Healing by the Traditional Chinese Medicine Herbal Mixture Sophora flavescens in a Rat Model of Perianal Ulceration. In Vivo. 31(4). 543–549. 15 indexed citations
18.
Ricker, Cora A., Yuan Pan, David H. Gutmann, & Charles Keller. (2016). Challenges in Drug Discovery for Neurofibromatosis Type 1-Associated Low-Grade Glioma. Frontiers in Oncology. 6. 259–259. 9 indexed citations
19.
Pan, Yuan, et al.. (2015). An N-Terminal ER Export Signal Facilitates the Plasma Membrane Targeting of HCN1 Channels in Photoreceptors. Investigative Ophthalmology & Visual Science. 56(6). 3514–3514. 9 indexed citations
20.
Bays, Jennifer, Xiao Peng, Christophe Guilluy, et al.. (2014). Vinculin phosphorylation differentially regulates mechanotransduction at cell–cell and cell–matrix adhesions. The Journal of Cell Biology. 205(2). 251–263. 129 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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