Ying-Song Wu

650 total citations
12 papers, 495 citations indexed

About

Ying-Song Wu is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ying-Song Wu has authored 12 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ying-Song Wu's work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (2 papers). Ying-Song Wu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (2 papers). Ying-Song Wu collaborates with scholars based in China, South Korea and United States. Ying-Song Wu's co-authors include Yueting Tang, Lei Zheng, Yiyao Huang, Qian Wang, Taixue An, Xiumei Hu, Xuping Xu, Baohong Ping, Sihua Qin and Yong Xu and has published in prestigious journals such as International Journal of Molecular Sciences, RSC Advances and Biomedicine & Pharmacotherapy.

In The Last Decade

Ying-Song Wu

12 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying-Song Wu China 7 439 269 38 32 26 12 495
Gary Krzyzanowski United States 6 237 0.5× 244 0.9× 24 0.6× 12 0.4× 23 0.9× 14 368
Matthew Kang New Zealand 6 315 0.7× 152 0.6× 47 1.2× 29 0.9× 37 1.4× 8 349
Mingli Gu China 15 228 0.5× 118 0.4× 97 2.6× 59 1.8× 27 1.0× 30 449
T. Skvortsova Russia 10 388 0.9× 349 1.3× 15 0.4× 34 1.1× 27 1.0× 23 519
Tine M. Søland Norway 12 271 0.6× 149 0.6× 34 0.9× 40 1.3× 53 2.0× 41 517
Dongyan Cao China 9 499 1.1× 333 1.2× 71 1.9× 41 1.3× 35 1.3× 19 627
Anran Shen China 8 265 0.6× 116 0.4× 42 1.1× 38 1.2× 19 0.7× 15 354
Óscar Rapado‐González Spain 15 353 0.8× 344 1.3× 17 0.4× 56 1.8× 23 0.9× 26 609
Eric Feinstein United States 5 218 0.5× 130 0.5× 21 0.6× 32 1.0× 31 1.2× 11 346

Countries citing papers authored by Ying-Song Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Song Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Song Wu. 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 Ying-Song Wu. The network helps show where Ying-Song Wu may publish in the future.

Co-authorship network of co-authors of Ying-Song Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Song Wu. A scholar is included among the top collaborators of Ying-Song Wu 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 Ying-Song Wu. Ying-Song Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Yang, Xu, Qing Liu, Zhiwei Guo, et al.. (2024). Promoter profiles in plasma CfDNA exhibits a potential utility of predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Research. 26(1). 112–112. 1 indexed citations
3.
Xiao, Weiwei, Ting Jiang, Zhiwei Guo, et al.. (2020). Targeting SGK1 enhances the efficacy of radiotherapy in locally advanced rectal cancer. Biomedicine & Pharmacotherapy. 125. 109954–109954. 9 indexed citations
4.
Li, Kun, Zhiwei Guo, Xiang-Ming Zhai, et al.. (2020). RBPTD: a database of cancer-related RNA-binding proteins in humans. Database. 2020. 12 indexed citations
5.
Guo, Zhiwei, Xuexi Yang, Weiwei Xiao, et al.. (2020). Noninvasive <i>in vivo</i> Assessment of the Effectiveness of Cancer Therapy Using Promoter Profiling of Circulating Cell-Free DNA. SSRN Electronic Journal. 2 indexed citations
6.
Guo, Zhiwei, Yu Meng, Xiang-Ming Zhai, et al.. (2019). Translated Long Non-Coding Ribonucleic Acid ZFAS1 Promotes Cancer Cell Migration by Elevating Reactive Oxygen Species Production in Hepatocellular Carcinoma. Frontiers in Genetics. 10. 1111–1111. 28 indexed citations
7.
Chen, Qiong, Rong Li, Zhigao Zhang, et al.. (2018). Oncogene mutational analysis in Chinese gastrointestinal stromal tumor patients. OncoTargets and Therapy. Volume 11. 2279–2286. 3 indexed citations
8.
Wang, Gang, Xuexi Yang, Anna Zhu, et al.. (2018). Development of a high-throughput and sensitive assay of fusion genes in lung cancer by array-based MALDI-TOFMS. RSC Advances. 8(49). 27935–27945. 2 indexed citations
9.
Tang, Yueting, Yiyao Huang, Lei Zheng, et al.. (2017). Comparison of isolation methods of exosomes and exosomal RNA from cell culture medium and serum. International Journal of Molecular Medicine. 40(3). 834–844. 363 indexed citations
10.
Li, Fenxia, et al.. (2012). Association of 10q23 with colorectal cancer in a Chinese population. Molecular Biology Reports. 39(10). 9557–9562. 19 indexed citations
11.
Yang, Xuexi, et al.. (2012). Risk-Association of DNA Methyltransferases Polymorphisms with Gastric Cancer in the Southern Chinese Population. International Journal of Molecular Sciences. 13(7). 8364–8378. 45 indexed citations
12.
Yu, Qingfeng, et al.. (2012). [Association of PRM1-190C- > A polymorphism with teratozoospermia].. PubMed. 18(4). 314–7. 9 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