Wei‐Qun Ding

2.4k total citations · 1 hit paper
62 papers, 1.9k citations indexed

About

Wei‐Qun Ding is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Wei‐Qun Ding has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 29 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Wei‐Qun Ding's work include MicroRNA in disease regulation (20 papers), Extracellular vesicles in disease (15 papers) and Cancer-related molecular mechanisms research (10 papers). Wei‐Qun Ding is often cited by papers focused on MicroRNA in disease regulation (20 papers), Extracellular vesicles in disease (15 papers) and Cancer-related molecular mechanisms research (10 papers). Wei‐Qun Ding collaborates with scholars based in United States, China and Sweden. Wei‐Qun Ding's co-authors include Bethany N. Hannafon, Stuart E. Lind, Jinchang Wu, Yvonne D. Trigoso, David H. Lum, Alana L. Welm, William C. Dooley, Yan D. Zhao, Zhizhuang Joe Zhao and Kenneth E. Blick and has published in prestigious journals such as PLoS ONE, Cancer Research and The FASEB Journal.

In The Last Decade

Wei‐Qun Ding

59 papers receiving 1.9k citations

Hit Papers

Plasma exosome microRNAs are indicative of breast cancer 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Qun Ding United States 20 1.3k 841 345 244 157 62 1.9k
Bethany N. Hannafon United States 19 1.8k 1.5× 1.4k 1.7× 252 0.7× 143 0.6× 135 0.9× 40 2.3k
Wei-Qun Ding United States 24 1.5k 1.2× 989 1.2× 379 1.1× 264 1.1× 32 0.2× 38 2.2k
Léa Payen France 26 784 0.6× 253 0.3× 1.0k 3.0× 143 0.6× 153 1.0× 97 2.1k
Kristen M. Pluchino United States 10 1.0k 0.8× 293 0.3× 1.1k 3.3× 110 0.5× 207 1.3× 14 2.0k
Qiu‐Xu Teng United States 25 932 0.7× 261 0.3× 964 2.8× 74 0.3× 206 1.3× 50 1.6k
Shailender S. Kanwar India 15 1.2k 1.0× 617 0.7× 515 1.5× 66 0.3× 38 0.2× 37 1.8k
Hubert Lincet France 24 1.6k 1.2× 1.1k 1.3× 461 1.3× 46 0.2× 72 0.5× 35 2.3k
Changqing Yang China 26 776 0.6× 422 0.5× 201 0.6× 51 0.2× 50 0.3× 92 1.7k
Jörg Fahrer Germany 26 1.0k 0.8× 313 0.4× 519 1.5× 50 0.2× 62 0.4× 64 1.8k
Christophe Blanquart France 26 1.6k 1.3× 376 0.4× 503 1.5× 185 0.8× 44 0.3× 80 2.9k

Countries citing papers authored by Wei‐Qun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Qun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Qun Ding. 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 Wei‐Qun Ding. The network helps show where Wei‐Qun Ding may publish in the future.

Co-authorship network of co-authors of Wei‐Qun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Qun Ding. A scholar is included among the top collaborators of Wei‐Qun Ding 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 Wei‐Qun Ding. Wei‐Qun Ding 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.
Jiang, Qipeng, Meng Yang, Chunhua Weng, et al.. (2025). Tobacco black shank disease significantly affects the composition and assembly of the genotype-associated microbial community in the rhizosphere. Applied Soil Ecology. 209. 106039–106039.
2.
Dogra, Samrita, Fariba Behbod, Chao Xu, et al.. (2025). Preferential release of microRNAs via extracellular vesicles is associated with ductal carcinoma in situ to invasive breast cancer progression. Cancer Letters. 625. 217794–217794. 1 indexed citations
3.
Ding, Wei‐Qun, et al.. (2024). Protein Arginine Methyltransferases in Pancreatic Ductal Adenocarcinoma: New Molecular Targets for Therapy. International Journal of Molecular Sciences. 25(7). 3958–3958. 4 indexed citations
4.
Janknecht, Ralf, et al.. (2024). The Influence of Melanoma Extracellular Vesicles on Benign Melanocytes: A Role for PRAME in Modulation of the Tumor Microenvironment. Journal of Investigative Dermatology. 145(7). 1717–1727.e2.
6.
Feng, Yahui, Liming Gu, Wei Mo, et al.. (2024). Tetrahydrobiopterin metabolism attenuates ROS generation and radiosensitivity through LDHA S-nitrosylation: novel insight into radiogenic lung injury. Experimental & Molecular Medicine. 56(5). 1107–1122. 9 indexed citations
7.
Xu, Xiaohui, et al.. (2023). miR-18a and miR-106a Signatures in Plasma Small EVs Are Promising Biomarkers for Early Detection of Pancreatic Ductal Adenocarcinoma. International Journal of Molecular Sciences. 24(8). 7215–7215. 13 indexed citations
8.
Zhang, Yongzhen, et al.. (2023). Gut Microbiota Enterotypes Mediate the Effects of Dietary Patterns on Colorectal Neoplasm Risk in a Chinese Population. Nutrients. 15(13). 2940–2940. 7 indexed citations
9.
Li, Xiaoqing, Fei Shen, Zhuqiang Zhang, et al.. (2023). Polymerase iota (POLI) confers radioresistance of esophageal squamous cell carcinoma by regulating RAD51 stability and facilitating homologous recombination. Cell Death Discovery. 9(1). 291–291. 4 indexed citations
10.
Liu, Ying, et al.. (2023). Non-coding RNAs in lung cancer: molecular mechanisms and clinical applications. Frontiers in Oncology. 13. 1256537–1256537. 41 indexed citations
11.
12.
Li, Xiaoqing, Shitao Zou, Chao He, et al.. (2021). DNA Polymerase Iota Promotes Esophageal Squamous Cell Carcinoma Proliferation Through Erk-OGT-Induced G6PD Overactivation. Frontiers in Oncology. 11. 706337–706337. 16 indexed citations
13.
Xu, Yifan, Xiaohui Xu, Blaine H. M. Mooers, et al.. (2020). SRSF1 regulates exosome microRNA enrichment in human cancer cells. Cell Communication and Signaling. 18(1). 130–130. 31 indexed citations
14.
Xu, Yifan, et al.. (2019). The origin of exosomal miR-1246 in human cancer cells. RNA Biology. 16(6). 770–784. 49 indexed citations
15.
Hannafon, Bethany N., et al.. (2019). Metastasis-associated protein 1 (MTA1) is transferred by exosomes and contributes to the regulation of hypoxia and estrogen signaling in breast cancer cells. Cell Communication and Signaling. 17(1). 13–13. 53 indexed citations
16.
Ning, Zhonghua, Shitao Zou, Chao Gu, et al.. (2019). Integrin-Linked Kinase Is Involved In the Proliferation and Invasion of Esophageal Squamous Cell Carcinoma. Journal of Cancer. 11(2). 324–333. 10 indexed citations
17.
Jiao, Yang, et al.. (2018). Sorafenib and docosahexaenoic acid act in synergy to suppress cancer cell viability: a role of heme oxygenase 1. BMC Cancer. 18(1). 1042–1042. 9 indexed citations
18.
Xue, Jing, Amanda Moyer, Bing Peng, et al.. (2014). Chloroquine Is a Zinc Ionophore. PLoS ONE. 9(10). e109180–e109180. 179 indexed citations
19.
Xue, Jing, Shuai Wang, Jinchang Wu, Bethany N. Hannafon, & Wei‐Qun Ding. (2013). Zinc at Sub-Cytotoxic Concentrations Induces Heme Oxygenase-1 Expression in Human Cancer Cells. Cellular Physiology and Biochemistry. 32(1). 100–110. 17 indexed citations
20.
Zhou, Jundong, Shuyu Zhang, Ling Xie, et al.. (2012). Overexpression of DNA polymerase iota (Polι) in esophageal squamous cell carcinoma. Cancer Science. 103(8). 1574–1579. 38 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026