Changjun Yin

6.9k total citations
151 papers, 3.4k citations indexed

About

Changjun Yin is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Changjun Yin has authored 151 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 37 papers in Surgery and 33 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Changjun Yin's work include MicroRNA in disease regulation (17 papers), Bladder and Urothelial Cancer Treatments (16 papers) and Renal cell carcinoma treatment (15 papers). Changjun Yin is often cited by papers focused on MicroRNA in disease regulation (17 papers), Bladder and Urothelial Cancer Treatments (16 papers) and Renal cell carcinoma treatment (15 papers). Changjun Yin collaborates with scholars based in China, Germany and United States. Changjun Yin's co-authors include Chao Qin, Meilin Wang, Xiaobing Ju, Pengfei Shao, Sarajo K. Mohanta, Andreas J. R. Habenicht, Xiaoxin Meng, Qiang Cao, Zhengdong Zhang and Haiyan Chu and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Changjun Yin

146 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjun Yin China 33 1.9k 1.1k 674 580 543 151 3.4k
Sandra Ryeom United States 32 2.3k 1.2× 742 0.7× 764 1.1× 631 1.1× 505 0.9× 71 4.4k
Finian Martin Ireland 37 2.5k 1.3× 506 0.5× 379 0.6× 335 0.6× 391 0.7× 75 4.0k
Mathilde Sibony France 33 2.0k 1.1× 911 0.8× 1.4k 2.1× 279 0.5× 1.4k 2.6× 128 4.4k
Hiroshi Kanetake Japan 34 2.0k 1.1× 796 0.7× 1.1k 1.6× 287 0.5× 959 1.8× 210 4.1k
Akiteru Goto Japan 35 1.9k 1.0× 1.0k 1.0× 684 1.0× 400 0.7× 568 1.0× 134 3.7k
Ingrid Laurendeau France 38 2.1k 1.1× 795 0.7× 399 0.6× 388 0.7× 466 0.9× 63 4.2k
Tetsuhito Kojima Japan 39 1.9k 1.0× 517 0.5× 354 0.5× 472 0.8× 290 0.5× 193 4.6k
Libero Lauriola Italy 39 1.1k 0.6× 473 0.4× 496 0.7× 407 0.7× 722 1.3× 179 4.3k

Countries citing papers authored by Changjun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Changjun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjun Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Changjun Yin. A scholar is included among the top collaborators of Changjun Yin 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 Changjun Yin. Changjun Yin 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.
Yin, Changjun, et al.. (2025). Hourglass-shaped organophosphomolybdate(V) as photoelectrochemical sensor for selective detection of trace levofloxacin. Chinese Chemical Letters. 37(5). 111158–111158. 3 indexed citations
2.
Liu, Yiyang, Jian Qian, Meiling Bao, et al.. (2015). miR-134 Functions as a Tumor Suppressor in Cell Proliferation and Epithelial-to-Mesenchymal Transition by Targeting KRAS in Renal Cell Carcinoma Cells. DNA and Cell Biology. 34(6). 429–436. 58 indexed citations
3.
Huang, Zhengkai, Bian Wu, Jun Tao, et al.. (2015). Association between Angiotensin I-Converting Enzyme Insertion/Deletion Polymorphism and Prognosis of Kidney Transplantation: A Meta-Analysis. PLoS ONE. 10(5). e0127320–e0127320. 6 indexed citations
4.
Liu, Chao, Jun Wang, Zhijian Han, et al.. (2014). Effect of rapamycin on formation of atherosclerosis induced by AGEs in renal transplantation recipients and mechanism. 35(4). 211–215. 1 indexed citations
5.
Yang, Xiao, Pengchao Li, Jun Tao, et al.. (2014). Association betweenNFKB1−94ins/del ATTG Promoter Polymorphism and Cancer Susceptibility: An Updated Meta-Analysis. International Journal of Genomics. 2014. 1–8. 26 indexed citations
6.
Liu, Bianjiang, Jie Li, Pengchao Li, et al.. (2014). Transurethral seminal vesiculoscopy in the diagnosis and treatment of intractable seminal vesiculitis. Journal of International Medical Research. 42(1). 236–242. 28 indexed citations
7.
8.
Huang, Yuan, Gong Cheng, Bianjiang Liu, et al.. (2014). A prostate biopsy strategy based on a new clinical nomogram reduces the number of biopsy cores required in high-risk patients. BMC Urology. 14(1). 8–8. 11 indexed citations
9.
Yang, Xiao, Pengchao Li, Chao Qin, et al.. (2013). TSP-1-1223 A/G Polymorphism as a Potential Predictor of the Recurrence Risk of Bladder Cancer in a Chinese Population. International Journal of Genomics. 2013. 1–9. 2 indexed citations
10.
Qin, Chao, Li Cui, Qiang Cao, et al.. (2013). Application of the revised Tumour Node Metastasis (TNM) staging system of clear cell renal cell carcinoma in eastern China: advantages and limitations. Asian Journal of Andrology. 15(4). 550–557. 10 indexed citations
11.
Wang, Meilin, Haiyan Chu, Pu Li, et al.. (2012). Genetic Variants in miRNAs Predict Bladder Cancer Risk and Recurrence. Cancer Research. 72(23). 6173–6182. 73 indexed citations
12.
Wang, Wei, Yanqin Gao, Meilin Wang, et al.. (2012). Association of Ku70 A-31G Polymorphism and Risk of Renal Cell Carcinoma in a Chinese Population. DNA and Cell Biology. 31(7). 1314–1320. 5 indexed citations
13.
Chu, Haiyan, Yan Fu, Lan Ma, et al.. (2012). Polymorphisms in the IL-13 and IL-4R genes are associated with the development of renal cell carcinoma. Annals of Oncology. 23(8). 2114–2121. 25 indexed citations
14.
Chen, Jiawei, Yi‐Long Wu, Pengfei Shao, et al.. (2011). Association Between VHL Single Nucleotide Polymorphism (rs779805) and the Susceptibility to Prostate Cancer in Chinese. DNA and Cell Biology. 31(5). 790–796. 7 indexed citations
15.
Qin, Chao, et al.. (2011). Extraperitoneal Laparoscopic Retroperitoneal Lymph Node Dissection. Videourology. 25(2). 1 indexed citations
16.
Shao, Pengfei, Qi Ding, Chao Qin, et al.. (2011). Functional polymorphisms in cell death pathway genes FAS and FAS ligand and risk of prostate cancer in a Chinese population. The Prostate. 71(10). 1122–1130. 15 indexed citations
17.
Shao, Pengfei, Changjun Yin, Xiaoxin Meng, et al.. (2010). Retroperitoneal laparoscopic partial nephrectomy for the treatment of renal tumor. Zhonghua miniao waike zazhi. 31(10). 658–661. 1 indexed citations
18.
Wang, Meilin, Chao Qin, Jian Zhu, et al.. (2010). Genetic Variants of XRCC1 , APE1 , and ADPRT Genes and Risk of Bladder Cancer. DNA and Cell Biology. 29(6). 303–311. 55 indexed citations
19.
Zhao, Hu, Chao Qin, Yan Fu, et al.. (2010). hOGG1 Ser326Cys Polymorphism and Renal Cell Carcinoma Risk in a Chinese Population. DNA and Cell Biology. 30(5). 317–321. 14 indexed citations
20.
Zhang, Wei, Min Liu, Yichao Wu, et al.. (2007). Protective Effects of Atorvastatin on Chronic Allograft Nephropathy in Rats. Journal of Surgical Research. 143(2). 428–436. 16 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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