Guoping Ren

891 total citations
40 papers, 654 citations indexed

About

Guoping Ren is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Guoping Ren has authored 40 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 15 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Guoping Ren's work include Prostate Cancer Treatment and Research (17 papers), Cancer, Lipids, and Metabolism (7 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Guoping Ren is often cited by papers focused on Prostate Cancer Treatment and Research (17 papers), Cancer, Lipids, and Metabolism (7 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). Guoping Ren collaborates with scholars based in China, United Kingdom and United States. Guoping Ren's co-authors include Daniel M. Berney, Xueying Mao, Yong‐Jie Lu, Elzbieta Stankiewicz, Jili Wang, Jimin Shao, Xiaoyan Liu, Sakunthala C. Kudahetti, Luis Beltrán and Hongyan Qi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Guoping Ren

38 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoping Ren China 15 314 250 217 181 61 40 654
Evangelos Bournakis Greece 15 160 0.5× 272 1.1× 153 0.7× 267 1.5× 55 0.9× 35 621
Natasha Musrap Canada 12 155 0.5× 295 1.2× 149 0.7× 164 0.9× 53 0.9× 15 628
Ran Xie United States 12 185 0.6× 295 1.2× 141 0.6× 221 1.2× 62 1.0× 32 676
Yusuke Imamura Japan 15 399 1.3× 315 1.3× 169 0.8× 154 0.9× 95 1.6× 77 765
Fumiko Chiwaki Japan 16 156 0.5× 465 1.9× 178 0.8× 179 1.0× 84 1.4× 27 718
Arpita Desai United States 10 185 0.6× 229 0.9× 116 0.5× 165 0.9× 50 0.8× 38 451
Tetsukan Woo Japan 19 374 1.2× 378 1.5× 223 1.0× 355 2.0× 57 0.9× 42 880
João D. Barros‐Silva Portugal 14 389 1.2× 320 1.3× 206 0.9× 218 1.2× 59 1.0× 22 672
Danian Dai China 15 169 0.5× 448 1.8× 398 1.8× 295 1.6× 68 1.1× 28 823

Countries citing papers authored by Guoping Ren

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoping Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Guoping Ren. A scholar is included among the top collaborators of Guoping Ren 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 Guoping Ren. Guoping Ren 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.
Wang, Yan, Jili Wang, & Guoping Ren. (2025). UHRF1 and NF-κB signaling in prostate cancer progression insights from bioinformatics and experimental validation. BMC Cancer. 25(1). 1697–1697.
2.
Tong, Hongyan, Fang Yu, Qi Liu, et al.. (2023). CCDC50, an essential driver involved in tumorigenesis, is a potential severity marker of diffuse large B cell lymphoma. Annals of Hematology. 102(11). 3153–3165. 2 indexed citations
3.
Marzec, Jacek, Helen Ross‐Adams, S Pirro, et al.. (2021). The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis. Cancers. 13(2). 345–345. 7 indexed citations
4.
Wang, Jili, Yan Wang, & Guoping Ren. (2020). Identification of PTPRR and JAG1 as key genes in castration-resistant prostate cancer by integrated bioinformatics methods. Journal of Zhejiang University SCIENCE B. 21(3). 246–255. 6 indexed citations
5.
Zhao, Feng, Sunyi Ye, Weixiang Zhong, et al.. (2020). Mucinous Prostate Cancer Shows Similar Prognosis to Typical Prostate Acinar Carcinoma: A Large Population-Based and Propensity Score-Matched Study. Frontiers in Oncology. 9. 1467–1467. 10 indexed citations
6.
Xu, Liming, Qihan You, Xiaoling Wang, et al.. (2020). Cytology cell blocks from malignant pleural effusion are good candidates for PD-L1 detection in advanced NSCLC compared with matched histology samples. BMC Cancer. 20(1). 344–344. 17 indexed citations
7.
Wang, Bo, Liming Xu, Xiaodong Teng, et al.. (2020). A comparative study of RTK gene status between primary tumors, lymph-node metastases, and Krukenberg tumors. Modern Pathology. 34(1). 42–50. 6 indexed citations
8.
Wang, Jili, Xiaoyan Liu, Yan Wang, & Guoping Ren. (2019). Current trend of worsening prognosis of prostate small cell carcinoma: A population‐based study. Cancer Medicine. 8(15). 6799–6806. 11 indexed citations
9.
Ding, Yongfeng, Tingting Zhong, Min Wang, et al.. (2019). Integrative Analysis Reveals Across-Cancer Expression Patterns and Clinical Relevance of Ribonucleotide Reductase in Human Cancers. Frontiers in Oncology. 9. 956–956. 17 indexed citations
10.
Ma, Honghai, An Zhou, Jinglin Cao, et al.. (2018). Semi-quantitative Analysis of EBUS Elastography as a Feasible Approach in Diagnosing Mediastinal and Hilar Lymph Nodes of Lung Cancer Patients. Scientific Reports. 8(1). 3571–3571. 16 indexed citations
11.
Zhao, Feng, Jiayan Shen, Zuguo Yuan, et al.. (2018). Trends in Treatment for Prostate Cancer in China: Preliminary Patterns of Care Study in a Single Institution. Journal of Cancer. 9(10). 1797–1803. 14 indexed citations
12.
Lou, Meng, Qian Liu, Guoping Ren, et al.. (2017). Physical interaction between human ribonucleotide reductase large subunit and thioredoxin increases colorectal cancer malignancy. Journal of Biological Chemistry. 292(22). 9136–9149. 20 indexed citations
13.
14.
Liu, Hong, Guoping Ren, Tingyang Wang, et al.. (2015). Aberrantly expressed Fra-1 by IL-6/STAT3 transactivation promotes colorectal cancer aggressiveness through epithelial–mesenchymal transition. Carcinogenesis. 36(4). 459–468. 117 indexed citations
15.
16.
Ren, Guoping, Xiaoyan Liu, Xueying Mao, et al.. (2012). Identification of frequent BRAF copy number gain and alterations of RAF genes in chinese prostate cancer. Genes Chromosomes and Cancer. 51(11). 1014–1023. 37 indexed citations
17.
Mao, Xueying, Yongwei Yu, Lara K. Boyd, et al.. (2010). Distinct Genomic Alterations in Prostate Cancers in Chinese and Western Populations Suggest Alternative Pathways of Prostate Carcinogenesis. Cancer Research. 70(13). 5207–5212. 126 indexed citations
18.
Lai, Maode, Bingjian Lü, Xiaoming Xing, et al.. (2006). Secretagogin, a novel neuroendocrine marker, has a distinct expression pattern from chromogranin A. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 449(4). 402–409. 27 indexed citations
19.
Ren, Guoping, et al.. (2005). Epidermal growth factor receptor mutations detected in tumors from Chinese "never smokers" with lung adenocarcinoma.. PubMed. 118(9). 769–71. 3 indexed citations
20.
Ren, Guoping. (2001). Pathologic features of sporadic hepatitis E. 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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