Ping Guo

1.6k total citations
33 papers, 1.1k citations indexed

About

Ping Guo is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ping Guo has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Ping Guo's work include Muscle Physiology and Disorders (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Genetic Associations and Epidemiology (4 papers). Ping Guo is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Genetic Associations and Epidemiology (4 papers). Ping Guo collaborates with scholars based in China, United States and India. Ping Guo's co-authors include Shi‐Yuan Cheng, Bo Hu, Webster K. Cavenee, Degui Wang, Li Xu, Ifat Bar-Joseph, Michael J. Jarzynka, Esther Elishaev, Yorihisa Imanishi and Quan Fang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Ping Guo

33 papers receiving 1.0k 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 Guo China 14 649 286 279 141 122 33 1.1k
Richard Bachelier France 21 782 1.2× 436 1.5× 284 1.0× 106 0.8× 75 0.6× 38 1.3k
Fumitaka Kugimiya Japan 16 958 1.5× 269 0.9× 217 0.8× 211 1.5× 112 0.9× 22 1.4k
Dianne Mitchell United States 17 814 1.3× 192 0.7× 178 0.6× 119 0.8× 252 2.1× 28 1.4k
Andreas Herrlich United States 20 693 1.1× 267 0.9× 119 0.4× 126 0.9× 77 0.6× 30 1.3k
D. Feng United States 7 819 1.3× 277 1.0× 345 1.2× 51 0.4× 179 1.5× 10 1.3k
Gal Akiri United States 12 1.0k 1.5× 296 1.0× 245 0.9× 80 0.6× 94 0.8× 15 1.4k
Satoko Ito Japan 21 779 1.2× 234 0.8× 216 0.8× 87 0.6× 62 0.5× 47 1.1k
Gladys S. Ingle United States 13 509 0.8× 202 0.7× 154 0.6× 73 0.5× 80 0.7× 16 1.2k
Yasuharu Kanki Japan 19 1.1k 1.7× 234 0.8× 399 1.4× 74 0.5× 83 0.7× 40 1.5k
Koichi Nagasaki Japan 18 623 1.0× 303 1.1× 363 1.3× 123 0.9× 40 0.3× 31 1.1k

Countries citing papers authored by Ping Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ping Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Guo. A scholar is included among the top collaborators of Ping Guo 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 Guo. Ping Guo 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.
Xing, Xuyang, et al.. (2025). LLM-FMS: A fine-grained dataset for functional movement screen action quality assessment. PLoS ONE. 20(3). e0313707–e0313707. 2 indexed citations
2.
Yan, Ran, Lu Liu, Ping Guo, et al.. (2025). Identification of Candidate Lung Function-Related Plasma Proteins to Pinpoint Drug Targets for Common Pulmonary Diseases: A Comprehensive Multi-Omics Integration Analysis. Current Issues in Molecular Biology. 47(3). 167–167. 1 indexed citations
3.
Guo, Ping, Yinbo Niu, Junling Shi, et al.. (2025). Cholesterol metabolism in tumor immunity: Mechanisms and therapeutic opportunities for cancer. Biochemical Pharmacology. 234. 116802–116802. 7 indexed citations
4.
Liu, Lu, Ran Yan, Ping Guo, et al.. (2024). Conditional transcriptome-wide association study for fine-mapping candidate causal genes. Nature Genetics. 56(2). 348–356. 16 indexed citations
5.
Hambright, William S., Xiaodong Mu, Xueqin Gao, et al.. (2023). The Senolytic Drug Fisetin Attenuates Bone Degeneration in the Zmpste24−/− Progeria Mouse Model. Journal of Osteoporosis. 2023. 1–12. 27 indexed citations
6.
Hu, Shuiqing, Jinlan Luo, Ping Guo, et al.. (2023). Lentinan alleviates diabetic cardiomyopathy by suppressing CAV1/SDHA-regulated mitochondrial dysfunction. Biomedicine & Pharmacotherapy. 167. 115645–115645. 13 indexed citations
7.
Guo, Ping, Shilong Han, Wendan Yu, et al.. (2022). BPTF inhibition antagonizes colorectal cancer progression by transcriptionally inactivating Cdc25A. Redox Biology. 55. 102418–102418. 11 indexed citations
8.
Lu, Aiping, Ping Guo, Haiying Pan, et al.. (2021). Enhancement of myogenic potential of muscle progenitor cells and muscle healing during pregnancy. The FASEB Journal. 35(3). e21378–e21378. 2 indexed citations
9.
Guo, Ping, Fengzhou Li, Xiu Shan, et al.. (2020). Importin 13 promotes NSCLC progression by mediating RFPL3 nuclear translocation and hTERT expression upregulation. Cell Death and Disease. 11(10). 879–879. 9 indexed citations
10.
Lu, Aiping, Ping Guo, Liang Wang, et al.. (2020). Heterogenetic parabiosis between healthy and dystrophic mice improve the histopathology in muscular dystrophy. Scientific Reports. 10(1). 7075–7075. 4 indexed citations
11.
Li, Huiyao, Daochuan Li, Zhini He, et al.. (2018). The effects of Nrf2 knockout on regulation of benzene-induced mouse hematotoxicity. Toxicology and Applied Pharmacology. 358. 56–67. 19 indexed citations
12.
Guo, Ping, et al.. (2017). Expression and prognostic value of MIR-610 in patients with colorectal cancer. Biomedical Research-tokyo. 28(3). 1321–1324. 1 indexed citations
13.
Gao, Chen, Xiumei Xing, Zhini He, et al.. (2017). Hypermethylation of PGCP gene is associated with human bronchial epithelial cells immortalization. Gene. 642. 505–512. 6 indexed citations
14.
Zhao, Jianfeng, Xingxing Jiang, Ping Guo, et al.. (2015). Effect of C-5 position on the photochemical properties and phototoxicity of antofloxacin and levofloxacin: A stable and transient study. Journal of Photochemistry and Photobiology B Biology. 155. 122–129. 15 indexed citations
15.
Guo, Ping, et al.. (2013). Establishment and evaluation of an experimental animal model of high altitude cerebral edema. Neuroscience Letters. 547. 82–86. 20 indexed citations
16.
Guo, Ping, Yousef El‐Gohary, Krishna Prasadan, et al.. (2012). Rapid and simplified purification of recombinant adeno-associated virus. Journal of Virological Methods. 183(2). 139–146. 95 indexed citations
17.
Zhou, Qiquan, Xiaoling Tan, Jing Wang, Bo Zhou, & Ping Guo. (2011). Increased permeability of blood-brain barrier caused by inflammatory mediators is involved in high altitude cerebral edema. Scientific Research and Essays. 6(3). 607–615. 6 indexed citations
18.
Imanishi, Yorihisa, Bo Hu, Michael J. Jarzynka, et al.. (2007). Angiopoietin-2 Stimulates Breast Cancer Metastasis through the α5β1 Integrin-Mediated Pathway. Cancer Research. 67(9). 4254–4263. 159 indexed citations
19.
Jarzynka, Michael J., Ping Guo, Ifat Bar-Joseph, Bo Hu, & Shi‐Yuan Cheng. (2006). Estradiol and nicotine exposure enhances A549 bronchioloalveolar carcinoma xenograft growth in mice through the stimulation of angiogenesis. International Journal of Oncology. 28(2). 337–44. 42 indexed citations
20.

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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