Ruping Yan

812 total citations · 1 hit paper
22 papers, 559 citations indexed

About

Ruping Yan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ruping Yan has authored 22 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ruping Yan's work include Epigenetics and DNA Methylation (5 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (4 papers). Ruping Yan is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer Cells and Metastasis (4 papers) and Cancer-related molecular mechanisms research (4 papers). Ruping Yan collaborates with scholars based in China, United States and Ireland. Ruping Yan's co-authors include Jiansong Wang, Zongliu Hou, Xin Cheng, Yiming Zhong, Mingxia Ding, Wenju Wang, Chunhui Wang, Ruhong Li, Chong Li and Delin Yang and has published in prestigious journals such as Cancer Research, Frontiers in Immunology and European Journal of Medicinal Chemistry.

In The Last Decade

Ruping Yan

21 papers receiving 558 citations

Hit Papers

Cancer-associated fibroblasts: overview, progress, challe... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruping Yan China 12 365 189 174 92 68 22 559
Margo P. Cain United States 6 389 1.1× 199 1.1× 236 1.4× 98 1.1× 78 1.1× 6 692
Alexis S. Lopez United States 6 226 0.6× 170 0.9× 103 0.6× 86 0.9× 41 0.6× 8 495
He Ren China 16 363 1.0× 313 1.7× 281 1.6× 162 1.8× 39 0.6× 20 726
Joseph Clara United States 6 356 1.0× 317 1.7× 186 1.1× 153 1.7× 32 0.5× 12 638
Lia Walcher Germany 5 395 1.1× 317 1.7× 234 1.3× 94 1.0× 28 0.4× 5 717
Jean Claude Monboisse France 9 280 0.8× 181 1.0× 223 1.3× 81 0.9× 28 0.4× 13 628
Julie Leca France 5 305 0.8× 226 1.2× 267 1.5× 80 0.9× 44 0.6× 5 518
Haiping Pei China 13 321 0.9× 141 0.7× 199 1.1× 47 0.5× 49 0.7× 20 525
Eun Ji Ro South Korea 10 412 1.1× 265 1.4× 102 0.6× 45 0.5× 42 0.6× 12 633
Ginevra Doglioni Belgium 5 371 1.0× 195 1.0× 359 2.1× 64 0.7× 24 0.4× 5 590

Countries citing papers authored by Ruping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ruping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruping Yan. A scholar is included among the top collaborators of Ruping Yan 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 Ruping Yan. Ruping Yan 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.
Gao, Huajian, et al.. (2022). Large-Scale Transcriptome Data Analysis Identifies KIF2C as a Potential Therapeutic Target Associated With Immune Infiltration in Prostate Cancer. Frontiers in Immunology. 13. 905259–905259. 8 indexed citations
2.
Gao, Hang, et al.. (2022). has_circ_0070512 promotes prostate cancer progression by regulating the miR‐338‐3p/hedgehog signaling pathway. Cancer Science. 114(4). 1491–1506. 10 indexed citations
3.
Chen, Yan, et al.. (2022). MT-12 inhibits the proliferation of bladder cells in vitro and in vivo by enhancing autophagy through mitochondrial dysfunction. Open Life Sciences. 17(1). 710–725. 2 indexed citations
4.
Yan, Ruping, Xin Cheng, Wenju Wang, et al.. (2021). Cancer-associated fibroblasts: overview, progress, challenges, and directions. Cancer Gene Therapy. 28(9). 984–999. 201 indexed citations breakdown →
5.
Wang, Haifeng, Zhipeng Li, Ruping Yan, et al.. (2021). Comprehensive data analysis of genomics, epigenomics, and transcriptomics to identify specific biomolecular markers for prostate adenocarcinoma. Translational Andrology and Urology. 10(7). 3030–3045. 4 indexed citations
6.
Yan, Ruping, Xin Cheng, Wenju Wang, et al.. (2021). Correction: Cancer-associated fibroblasts: overview, progress, challenges, and directions. Cancer Gene Therapy. 28(9). 1074–1074. 12 indexed citations
7.
Liu, Gang, Tao Yin, Hyejin Kim, et al.. (2019). Structure-activity relationship studies on Bax activator SMBA1 for the treatment of ER-positive and triple-negative breast cancer. European Journal of Medicinal Chemistry. 178. 589–605. 14 indexed citations
8.
Luan, Ting, et al.. (2019). MT-12 inhibits the growth and metastasis of bladder cancer cells via suppressing tumor angiogenesis in vivo and in vitro. Translational Cancer Research. 8(1). 120–129. 1 indexed citations
9.
Yan, Ruping, et al.. (2019). Total saponins from Paris forrestii (Takht) H. Li. show the anticancer and RNA expression regulating effects on prostate cancer cells. Biomedicine & Pharmacotherapy. 121. 109674–109674. 16 indexed citations
10.
Kim, Hye‐Jin, Lili Wang, Jimin Xu, et al.. (2019). Abstract 5066: Chemoprevention of breast cancer by targeting glucose metabolism with HJC0152. Cancer Research. 79(13_Supplement). 5066–5066. 2 indexed citations
11.
Wang, Haifeng, Mingxia Ding, Ruping Yan, et al.. (2016). LASS2 inhibits growth and invasion of bladder cancer by regulating ATPase activity. Oncology Letters. 13(2). 661–668. 21 indexed citations
12.
Li, Chong, Shengwu Liu, Ruping Yan, et al.. (2016). CD54-NOTCH1 axis controls tumor initiation and cancer stem cell functions in human prostate cancer. Theranostics. 7(1). 67–80. 43 indexed citations
13.
Li, Chong, Ruping Yan, Zhao Yang, et al.. (2016). BCMab1-Ra, a novel immunotoxin that BCMab1 antibody coupled to Ricin A chain, can eliminate bladder tumor. Oncotarget. 8(28). 46704–46705. 12 indexed citations
14.
Li, Chong, Ying Du, Zhao Yang, et al.. (2015). GALNT1-Mediated Glycosylation and Activation of Sonic Hedgehog Signaling Maintains the Self-Renewal and Tumor-Initiating Capacity of Bladder Cancer Stem Cells. Cancer Research. 76(5). 1273–1283. 68 indexed citations
15.
Wang, Haifeng, Wei Zhang, Mingxia Ding, et al.. (2015). miR-9 promotes cell proliferation and inhibits apoptosis by targeting LASS2 in bladder cancer. Tumor Biology. 36(12). 9631–9640. 59 indexed citations
16.
Wang, Chunhui, Jiansong Wang, Hui Zhan, et al.. (2013). Apoptin induces apoptosis in nude mice allograft model of human bladder cancer by altering multiple bladder tumor-associated gene expression profiles. Tumor Biology. 34(3). 1667–1678. 7 indexed citations
17.
Ding, Mingxia, Jiansong Wang, Hui Zhan, et al.. (2012). ppGalNAc T1 as a Potential Novel Marker for Human Bladder Cancer. Asian Pacific Journal of Cancer Prevention. 13(11). 5653–5657. 20 indexed citations
18.
Wang, Jiansong, et al.. (2011). Expression and prognostic significance of a new tumor metastasis suppressor gene LASS2 in human bladder carcinoma. Medical Oncology. 29(3). 1921–1927. 39 indexed citations
19.
Yan, Ruping. (2008). Numerical Simulation of Quenchant Flow Field in Quenching Tank.
20.
Li, Chong, et al.. (2006). Characterization of a novel transplantable orthotopic murine xenograft model of a human bladder transitional cell tumor (BIU-87). Cancer Biology & Therapy. 5(4). 394–398. 17 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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