Lushun Yuan

1.5k total citations
35 papers, 1.1k citations indexed

About

Lushun Yuan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Lushun Yuan has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Pulmonary and Respiratory Medicine and 12 papers in Cancer Research. Recurrent topics in Lushun Yuan's work include Ferroptosis and cancer prognosis (15 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Renal cell carcinoma treatment (8 papers). Lushun Yuan is often cited by papers focused on Ferroptosis and cancer prognosis (15 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Renal cell carcinoma treatment (8 papers). Lushun Yuan collaborates with scholars based in China, Netherlands and United States. Lushun Yuan's co-authors include Gang Wang, Rui Cao, Yu Xiao, Xinghuan Wang, Ye Tian, Guofeng Qian, Bo Ma, Kaiyu Qian, Yuan Zhu and Chin‐Lee Wu and has published in prestigious journals such as Oncogene, Journal of Agricultural and Food Chemistry and Cell stem cell.

In The Last Decade

Lushun Yuan

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lushun Yuan China 18 649 468 345 243 178 35 1.1k
Hidenori Kage Japan 19 526 0.8× 450 1.0× 369 1.1× 125 0.5× 211 1.2× 86 1.2k
Jirong Huo China 19 566 0.9× 228 0.5× 296 0.9× 310 1.3× 147 0.8× 56 1.0k
Feng Qian China 25 641 1.0× 678 1.4× 318 0.9× 292 1.2× 450 2.5× 80 1.6k
Jun Ren China 19 674 1.0× 269 0.6× 423 1.2× 138 0.6× 293 1.6× 77 1.1k
Libin Sun China 17 444 0.7× 285 0.6× 334 1.0× 90 0.4× 165 0.9× 45 847
Hiroki Shimizu Japan 17 364 0.6× 196 0.4× 187 0.5× 279 1.1× 254 1.4× 92 857
Katsutoshi Shoda Japan 20 739 1.1× 413 0.9× 666 1.9× 369 1.5× 400 2.2× 118 1.5k
Sonata Jarmalaitė Lithuania 20 854 1.3× 371 0.8× 532 1.5× 141 0.6× 236 1.3× 88 1.4k
Sameer A. Dhayat Germany 17 474 0.7× 168 0.4× 341 1.0× 312 1.3× 248 1.4× 30 1.1k
Yan Pan China 15 574 0.9× 161 0.3× 404 1.2× 114 0.5× 159 0.9× 46 939

Countries citing papers authored by Lushun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Lushun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lushun Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Lushun Yuan. A scholar is included among the top collaborators of Lushun Yuan 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 Lushun Yuan. Lushun Yuan 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.
2.
Yuan, Lushun, Aswin Verhoeven, Huub J. van Eyk, et al.. (2024). Ethnic Disparities in Lipid Metabolism and Clinical Outcomes between Dutch South Asians and Dutch White Caucasians with Type 2 Diabetes Mellitus. Metabolites. 14(1). 33–33. 2 indexed citations
3.
4.
Huseinovic, Angelina, et al.. (2023). Downregulation of miR‐193a/b‐3p during HPV‐induced cervical carcinogenesis contributes to anchorage‐independent growth through PI3K–AKT pathway regulators. Journal of Medical Virology. 95(3). e28589–e28589. 9 indexed citations
5.
Chen, Zhenghao, Chuan Qin, Gang Wang, et al.. (2022). A tumor microenvironment preoperative nomogram for prediction of lymph node metastasis in bladder cancer. Frontiers in Oncology. 12. 1099965–1099965. 2 indexed citations
6.
Cao, Rui, Bo Ma, Gang Wang, et al.. (2021). Identification of autophagy‐related genes signature predicts chemotherapeutic and immunotherapeutic efficiency in bladder cancer (BLCA). Journal of Cellular and Molecular Medicine. 25(12). 5417–5433. 12 indexed citations
7.
Cao, Rui, Bo Ma, Gang Wang, et al.. (2021). Characterization of hypoxia response patterns identified prognosis and immunotherapy response in bladder cancer. Molecular Therapy — Oncolytics. 22. 277–293. 18 indexed citations
8.
Xiong, Yaoyi, Lushun Yuan, Song Chen, et al.. (2020). WFDC2 suppresses prostate cancer metastasis by modulating EGFR signaling inactivation. Cell Death and Disease. 11(7). 537–537. 30 indexed citations
9.
Wang, Gang, Rui Cao, Kaiyu Qian, et al.. (2020). <p>TRPM8 Inhibition Regulates the Proliferation, Migration and ROS Metabolism of Bladder Cancer Cells</p>. OncoTargets and Therapy. Volume 13. 8825–8835. 16 indexed citations
10.
Cao, Rui, Lushun Yuan, Bo Ma, Gang Wang, & Ye Tian. (2020). Tumour microenvironment (TME) characterization identified prognosis and immunotherapy response in muscle-invasive bladder cancer (MIBC). Cancer Immunology Immunotherapy. 70(1). 1–18. 73 indexed citations
11.
Cao, Rui, Bo Ma, Gang Wang, et al.. (2020). An Epithelial-Mesenchymal Transition (EMT) Preoperative Nomogram for Prediction of Lymph Node Metastasis in Bladder Cancer (BLCA). Disease Markers. 2020. 1–17. 6 indexed citations
12.
Cao, Rui, Lushun Yuan, Bo Ma, Gang Wang, & Ye Tian. (2020). Immune-related long non-coding RNA signature identified prognosis and immunotherapeutic efficiency in bladder cancer (BLCA). Cancer Cell International. 20(1). 276–276. 49 indexed citations
13.
Cao, Rui, Lushun Yuan, Bo Ma, et al.. (2019). An EMT‐related gene signature for the prognosis of human bladder cancer. Journal of Cellular and Molecular Medicine. 24(1). 605–617. 137 indexed citations
14.
Wang, Lu, Song Chen, Yongwen Luo, et al.. (2019). Identification of several cell cycle relevant genes highly correlated with the progression and prognosis of human bladder urothelial tumor. Journal of Cellular Physiology. 234(8). 13439–13451. 6 indexed citations
15.
Wang, Jin‐Xing, Lushun Yuan, Xingnian Liu, et al.. (2018). Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma. Oncology Letters. 15(6). 9133–9141. 14 indexed citations
16.
Liang, Chen, Lushun Yuan, Kaiyu Qian, et al.. (2018). Identification of Biomarkers Associated With Pathological Stage and Prognosis of Clear Cell Renal Cell Carcinoma by Co-expression Network Analysis. Frontiers in Physiology. 9. 399–399. 60 indexed citations
17.
Chen, Liang, Lushun Yuan, Yongzhi Wang, et al.. (2017). Co-expression network analysis identified FCER1G in association with progression and prognosis in human clear cell renal cell carcinoma. International Journal of Biological Sciences. 13(11). 1361–1372. 96 indexed citations
18.
Chen, Liang, Lushun Yuan, Gang Wang, et al.. (2017). Identification and bioinformatics analysis of miRNAs associated with human muscle invasive bladder cancer. Molecular Medicine Reports. 16(6). 8709–8720. 13 indexed citations
19.
Chen, Liang, Rui Cao, Gang Wang, et al.. (2017). Downregulation of TRPM7 suppressed migration and invasion by regulating epithelial–mesenchymal transition in prostate cancer cells. Medical Oncology. 34(7). 127–127. 34 indexed citations
20.
Yuan, Lushun, Liang Chen, Kaiyu Qian, et al.. (2017). Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC). Genomics Data. 14. 132–140. 69 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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