Ping Yang

4.5k total citations · 1 hit paper
159 papers, 3.3k citations indexed

About

Ping Yang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ping Yang has authored 159 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 44 papers in Cancer Research and 30 papers in Surgery. Recurrent topics in Ping Yang's work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (13 papers). Ping Yang is often cited by papers focused on MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (20 papers) and Circular RNAs in diseases (13 papers). Ping Yang collaborates with scholars based in China, United States and United Kingdom. Ping Yang's co-authors include Yu Zhu, Xiong Z. Ruan, Lei Zhao, Yaxi Chen, Yuan Jiang, Han Zeng, Wei Li, Zac Varghese, John F. Moorhead and Xiaoqing Luo and has published in prestigious journals such as Nature Communications, PLoS ONE and Biomaterials.

In The Last Decade

Ping Yang

149 papers receiving 3.3k citations

Hit Papers

CD36-mediated metabolic crosstalk between tumor cells and... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasis
    2022 201 citations Ping Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Yang China 32 1.8k 1.4k 492 356 325 159 3.3k
Jian Hu United States 35 2.6k 1.4× 962 0.7× 582 1.2× 377 1.1× 478 1.5× 104 4.3k
You Mie Lee South Korea 40 3.4k 1.8× 1.5k 1.1× 777 1.6× 378 1.1× 506 1.6× 119 5.0k
Xin He China 31 1.6k 0.9× 698 0.5× 299 0.6× 250 0.7× 272 0.8× 103 3.1k
Zakaria Y. Abd Elmageed United States 31 1.6k 0.9× 824 0.6× 583 1.2× 335 0.9× 324 1.0× 94 2.9k
Gang Song China 29 2.4k 1.3× 845 0.6× 755 1.5× 260 0.7× 403 1.2× 71 4.0k
О. H. Minchenko Ukraine 27 2.0k 1.1× 1.3k 1.0× 358 0.7× 215 0.6× 327 1.0× 146 3.6k
Lin Zhao China 37 2.6k 1.4× 1.5k 1.1× 852 1.7× 266 0.7× 472 1.5× 97 4.4k
Wassim Abou‐Kheir Lebanon 33 1.4k 0.8× 800 0.6× 740 1.5× 545 1.5× 294 0.9× 113 3.2k
Jie Ding China 34 2.3k 1.2× 1.7k 1.2× 506 1.0× 528 1.5× 304 0.9× 120 3.9k

Countries citing papers authored by Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yang. A scholar is included among the top collaborators of Ping Yang 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 Yang. Ping Yang 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.
Liu, Ming, Zhaohui Tang, Yu Gou, & Ping Yang. (2025). Neutrophil percentage-to-albumin ratio for preoperative risk stratification of complicated appendicitis in children: a retrospective study. BMC Gastroenterology. 25(1). 782–782.
2.
Zheng, Qi, et al.. (2025). Fibroblast activation protein-targeted chimeric antigen-receptor-modified NK cells alleviate cardiac fibrosis. International Immunopharmacology. 157. 114760–114760. 2 indexed citations
3.
Mao, Ning, Yi Dai, Fan Lin, et al.. (2025). A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer. Science Advances. 11(18). eadr1576–eadr1576. 4 indexed citations
4.
Li, Jingru, Chaozhong Li, Peng Ding, et al.. (2024). Bioinformatics analysis of immune infiltration in human diabetic retinopathy and identification of immune-related hub genes and their ceRNA networks. Scientific Reports. 14(1). 24003–24003. 2 indexed citations
5.
Wang, Minghua, et al.. (2024). Exaggerated placental site in a cesarean scar: Misdiagnosed as gestational trophoblastic neoplasia: A case report. Experimental and Therapeutic Medicine. 28(1). 298–298. 1 indexed citations
6.
Yang, Ping, Guoshuang Shen, Hengheng Zhang, et al.. (2024). Incidence of thyroid dysfunction caused by immune checkpoint inhibitors combined with chemotherapy: A systematic review and meta-analysis. International Immunopharmacology. 133. 111961–111961. 3 indexed citations
7.
Zhang, Xiao, et al.. (2024). SOX4-BMI1 axis promotes non-small cell lung cancer progression and facilitates angiogenesis by suppressing ZNF24. Cell Death and Disease. 15(9). 698–698. 8 indexed citations
8.
Dai, Weiyu, Linjie Hong, Luyu Zhang, et al.. (2023). The ATF2/miR-3913-5p/CREB5 axis is involved in the cell proliferation and metastasis of colorectal cancer. Communications Biology. 6(1). 1026–1026. 8 indexed citations
9.
Yang, Ping, Zhenyu Yang, Yanming Dong, et al.. (2023). Clusterin is a biomarker of breast cancer prognosis and correlated with immune microenvironment. Translational Cancer Research. 12(1). 31–45. 14 indexed citations
10.
Zheng, Shuai, et al.. (2022). Establishment of a Landscape of UPL5-Ubiquitinated on Multiple Subcellular Components of Leaf Senescence Cell in Arabidopsis. International Journal of Molecular Sciences. 23(10). 5754–5754. 2 indexed citations
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Wang, Zhishan, Ping Yang, Jie Xie, et al.. (2020). Arsenic and benzo[a]pyrene co-exposure acts synergistically in inducing cancer stem cell-like property and tumorigenesis by epigenetically down-regulating SOCS3 expression. Environment International. 137. 105560–105560. 47 indexed citations
15.
Xie, Chuanbo, Zixian Wang, Yin Li, et al.. (2019). Submucosal Saline Injection Followed by Endoscopic Ultrasound versus Endoscopic Ultrasound Only for Distinguishing between T1a and T1b Esophageal Cancer. Clinical Cancer Research. 26(2). 384–390. 9 indexed citations
16.
Luo, Sheng‐Wei, Wei Wei, Ping Yang, et al.. (2019). Characterization of a CD59 in orange-spotted grouper (Epinephelus coioides). Fish & Shellfish Immunology. 89. 486–497. 13 indexed citations
17.
Zhu, Yu, Xing‐Jun Liu, Ping Yang, et al.. (2014). Alkylglyceronephosphate Synthase (AGPS) Alters Lipid Signaling Pathways and Supports Chemotherapy Resistance of Glioma and Hepatic Carcinoma Cell Lines. Asian Pacific Journal of Cancer Prevention. 15(7). 3219–3226. 31 indexed citations
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Yang, Ping. (2012). Application value of laparoscopic operation combined with traditional Chinese medicine enema in tubal obstructive infertility.
20.
Yang, Ping. (2006). CRM in Commercial Banks. Commercial Research. 1 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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