Dingwei Ye

3.6k total citations · 1 hit paper
114 papers, 2.3k citations indexed

About

Dingwei Ye is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Dingwei Ye has authored 114 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Pulmonary and Respiratory Medicine, 44 papers in Molecular Biology and 44 papers in Cancer Research. Recurrent topics in Dingwei Ye's work include Renal cell carcinoma treatment (32 papers), Ferroptosis and cancer prognosis (30 papers) and Cancer, Lipids, and Metabolism (22 papers). Dingwei Ye is often cited by papers focused on Renal cell carcinoma treatment (32 papers), Ferroptosis and cancer prognosis (30 papers) and Cancer, Lipids, and Metabolism (22 papers). Dingwei Ye collaborates with scholars based in China, United States and United Kingdom. Dingwei Ye's co-authors include Yao Zhu, Hailiang Zhang, Guohai Shi, Yuanyuan Qu, Fangning Wan, Wenhao Xu, Yiping Zhu, Yijun Shen, Bo Dai and Xi Tian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dingwei Ye

106 papers receiving 2.3k citations

Hit Papers

Epidemiology and genomics of prostate cancer in Asian men 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingwei Ye China 29 1.1k 1.0k 874 501 401 114 2.3k
Jodi K. Maranchie United States 21 1.1k 1.0× 704 0.7× 944 1.1× 347 0.7× 356 0.9× 82 2.1k
Ryuichi Mizuno Japan 28 1.1k 0.9× 1.2k 1.2× 526 0.6× 926 1.8× 509 1.3× 205 2.6k
Chiara Ciccarese Italy 23 863 0.8× 1.1k 1.1× 681 0.8× 803 1.6× 421 1.0× 116 2.1k
Daniele Calistri Italy 33 1.2k 1.1× 1.2k 1.2× 1.1k 1.3× 1.2k 2.4× 593 1.5× 133 3.1k
Guido Bellezza Italy 28 830 0.7× 942 0.9× 581 0.7× 1.0k 2.1× 247 0.6× 124 2.4k
Isabel Heidegger Austria 26 829 0.7× 1.2k 1.2× 554 0.6× 553 1.1× 489 1.2× 123 2.4k
Bo Dai China 32 1.4k 1.3× 1.3k 1.3× 1.0k 1.1× 1.1k 2.2× 639 1.6× 144 3.3k
Pedro C. Barata United States 24 993 0.9× 1.4k 1.4× 771 0.9× 846 1.7× 503 1.3× 218 2.5k
Rosina T. Lis United States 24 970 0.9× 973 1.0× 678 0.8× 365 0.7× 246 0.6× 51 2.0k
Alessia Cimadamore Italy 26 841 0.7× 1.3k 1.3× 577 0.7× 877 1.8× 824 2.1× 147 2.6k

Countries citing papers authored by Dingwei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Dingwei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingwei Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Dingwei Ye. A scholar is included among the top collaborators of Dingwei Ye 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 Dingwei Ye. Dingwei Ye 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.
Ye, Shiqi, Jian‐Feng Xiang, Siqi Zhou, et al.. (2025). Polystyrene Microplastics Exposure Aggravates Clear Cell Renal Cell Carcinoma Progression via the NF‐κB and TGF‐β Signaling Pathways. Advanced Science. 13(8). e18500–e18500.
2.
Yu, Wei, Hualei Gan, Xiaomeng Li, et al.. (2025). Neoadjuvant fuzuloparib combined with abiraterone for localized high-risk prostate cancer (FAST-PC): A single-arm phase 2 study. Cell Reports Medicine. 6(3). 102018–102018. 3 indexed citations
4.
Anwaier, Aihetaimujiang, Yuanyuan Qu, Shiqi Ye, et al.. (2025). Genomic landscape and molecular evolutionary trajectories of renal epithelioid angiomyolipoma and benign angiomyolipoma. Neoplasia. 68. 101212–101212.
5.
Ma, Qizhao, Jing Li, Jing Zhou, et al.. (2024). YkuR functions as a protein deacetylase in Streptococcus mutans. Proceedings of the National Academy of Sciences. 121(41). e2407820121–e2407820121.
7.
Tian, Xi, Shiqi Ye, Yue Wang, et al.. (2024). Systematic multiomics analysis and in vitro experiments suggest that ITGA5 could serve as a promising therapeutic target for ccRCC. Cancer Cell International. 24(1). 363–363.
8.
Simonetti, Boris, Po‐Han Chou, Stephen Cross, et al.. (2023). Five Inhibitory Receptors Display Distinct Vesicular Distributions in Murine T Cells. Cells. 12(21). 2558–2558. 3 indexed citations
10.
Chang, Kun, Jiaqi Su, Chuanyu Li, et al.. (2022). Multi-omics profiles refine L-dopa decarboxylase (DDC) as a reliable biomarker for prognosis and immune microenvironment of clear cell renal cell carcinoma. Frontiers in Oncology. 12. 1079446–1079446. 2 indexed citations
11.
Luo, Wenjie, Jun Wang, Wenhao Xu, et al.. (2021). LncRNA RP11-89 facilitates tumorigenesis and ferroptosis resistance through PROM2-activated iron export by sponging miR-129-5p in bladder cancer. Cell Death and Disease. 12(11). 1043–1043. 131 indexed citations
13.
Wu, Jie, Wenjie Luo, Hailiang Zhang, et al.. (2021). ALPK2 acts as tumor promotor in development of bladder cancer through targeting DEPDC1A. Cell Death and Disease. 12(7). 661–661. 11 indexed citations
14.
Zheng, Rui, Mulong Du, Yuqiu Ge, et al.. (2021). Identification of low-frequency variants of UGT1A3 associated with bladder cancer risk by next-generation sequencing. Oncogene. 40(13). 2382–2394. 10 indexed citations
15.
Yu, Wei, Yingjian Zhang, Xiaoping Xu, et al.. (2020). A Prospective Trial of 68Ga-PSMA and 18F-FDG PET/CT in Nonmetastatic Prostate Cancer Patients with an Early PSA Progression During Castration. Clinical Cancer Research. 26(17). 4551–4558. 49 indexed citations
16.
Abudurexiti, Mierxiati, Wenkai Zhu, Jun Wang, et al.. (2020). Targeting CPT1B as a potential therapeutic strategy in castration‐resistant and enzalutamide‐resistant prostate cancer. The Prostate. 80(12). 950–961. 40 indexed citations
17.
Wang, Yu-Chen, Jie Wu, Bo Dai, et al.. (2019). Extended versus non-extended lymphadenectomy during radical cystectomy for patients with bladder cancer: a meta-analysis of the effect on long-term and short-term outcomes. World Journal of Surgical Oncology. 17(1). 225–225. 19 indexed citations
18.
Wu, Jie, Yu-Chen Wang, Bo Dai, Dingwei Ye, & Yiping Zhu. (2019). Optical biopsy of bladder cancer using confocal laser endomicroscopy. International Urology and Nephrology. 51(9). 1473–1479. 15 indexed citations
19.
Zhu, Yiping, Bo Dai, Hailiang Zhang, et al.. (2016). Long non-coding RNA LOC572558 inhibits bladder cancer cell proliferation and tumor growth by regulating the AKT–MDM2–p53 signaling axis. Cancer Letters. 380(2). 369–374. 59 indexed citations
20.
Ye, Dingwei, Yao Zhu, Hongkai Wang, & Yuanyuan Qu. (2014). Prostate cancer in East Asia: evolving trend over the last decade. Asian Journal of Andrology. 17(1). 48–48. 81 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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