Jinyun Chen

2.3k total citations
77 papers, 1.7k citations indexed

About

Jinyun Chen is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Oncology. According to data from OpenAlex, Jinyun Chen has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Obstetrics and Gynecology, 29 papers in Reproductive Medicine and 14 papers in Oncology. Recurrent topics in Jinyun Chen's work include Uterine Myomas and Treatments (35 papers), Endometriosis Research and Treatment (28 papers) and Gynecological conditions and treatments (18 papers). Jinyun Chen is often cited by papers focused on Uterine Myomas and Treatments (35 papers), Endometriosis Research and Treatment (28 papers) and Gynecological conditions and treatments (18 papers). Jinyun Chen collaborates with scholars based in China, United States and United Kingdom. Jinyun Chen's co-authors include Wenzhi Chen, Wenzhi Chen, Marsha L. Frazier, Wenpeng Zhao, Lian Zhang, Song Peng, Wenzhi Chen, Liangdan Tang, Zhibiao Wang and Liang Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Jinyun Chen

76 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyun Chen China 25 699 597 300 282 276 77 1.7k
Florin‐Andrei Taran Germany 18 1.0k 1.5× 914 1.5× 422 1.4× 136 0.5× 196 0.7× 67 1.8k
Danhua Shen China 23 283 0.4× 295 0.5× 454 1.5× 330 1.2× 477 1.7× 150 1.9k
Elizabeth Garcia United States 22 177 0.3× 151 0.3× 457 1.5× 273 1.0× 557 2.0× 40 1.7k
Melissa Walker United States 18 208 0.3× 81 0.1× 472 1.6× 303 1.1× 407 1.5× 40 2.5k
Yong Jae Lee South Korea 20 151 0.2× 304 0.5× 250 0.8× 280 1.0× 145 0.5× 100 939
Hui Zhu China 29 184 0.3× 208 0.3× 347 1.2× 463 1.6× 486 1.8× 86 3.2k
Kyle Chan United States 15 107 0.2× 142 0.2× 380 1.3× 356 1.3× 743 2.7× 34 1.7k
Jean‐Christophe Tille Switzerland 25 77 0.1× 110 0.2× 686 2.3× 865 3.1× 677 2.5× 77 2.3k
Zhiyang Zhou China 22 66 0.1× 111 0.2× 469 1.6× 330 1.2× 308 1.1× 80 1.3k
Ignacio Aranda Spain 22 104 0.1× 80 0.1× 397 1.3× 263 0.9× 307 1.1× 95 1.5k

Countries citing papers authored by Jinyun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jinyun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyun Chen. A scholar is included among the top collaborators of Jinyun Chen 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 Jinyun Chen. Jinyun Chen 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.
Luo, Dan, et al.. (2024). A review of recent research progress on photocatalytic microbial CO2 reduction. International Journal of Hydrogen Energy. 81. 1121–1134. 5 indexed citations
2.
Yu, Jingwen, et al.. (2023). Comparison efficacy of ultrasound‐guided HIFU for adenomyosis‐associated dysmenorrhea with different signal intensity on T2‐weighted MR imaging. Journal of obstetrics and gynaecology research. 49(4). 1189–1197. 3 indexed citations
3.
Chen, Jinyun, et al.. (2023). Sacral injury and influencing factors after ultrasonic ablation of uterine fibroids ≤30 mm from the sacrum. SHILAP Revista de lepidopterología. 29(1). 195–201. 3 indexed citations
4.
5.
Xu, Wei, et al.. (2022). Adaptability and clinical applicability of UFS-QoL in Chinese women with uterine fibroid. BMC Women s Health. 22(1). 372–372. 5 indexed citations
6.
Guan, Xiaoping, Xiaoqin Huang, Min Ye, et al.. (2022). Treatment of Placenta Increta With High-Intensity Focused Ultrasound Ablation and Leaving the Placenta in situ: A Multicenter Comparative Study. Frontiers in Medicine. 9. 871528–871528. 4 indexed citations
7.
Luo, Dong, Wenzhi Chen, Wei Wang, et al.. (2021). Low-intensity pulsed ultrasound alleviating myelosuppression of Sprague-Dawley rats after combined treating by paclitaxel and carboplatin. Translational Cancer Research. 10(3). 1183–1192. 4 indexed citations
8.
9.
Chen, Junlin, et al.. (2019). Low intensity pulsed ultrasound promotes the migration of bone marrow- derived mesenchymal stem cells via activating FAK-ERK1/2 signalling pathway. Artificial Cells Nanomedicine and Biotechnology. 47(1). 3603–3613. 33 indexed citations
10.
Xiao, Zhibo, et al.. (2019). Non-contrast enhanced MRI for assessment of uterine fibroids’ early response to ultrasound-guided high-intensity focused ultrasound thermal ablation. European Journal of Radiology. 122. 108670–108670. 18 indexed citations
11.
Zhao, Ling, et al.. (2018). Comparison of ultrasound-guided high-intensity focused ultrasound ablation and surgery for abdominal wall endometriosis. International Journal of Hyperthermia. 35(1). 528–533. 28 indexed citations
12.
Zhang, Rong, et al.. (2017). びまん性子宮腺筋症のための超音波ガイド下高密度焦点式超音波アブレーションの安全性:後向きコホート研究【Powered by NICT】. Ultrasonics Sonochemistry. 36. 145.
13.
Chen, Jinyun, et al.. (2014). Magnetic Resonance Imaging of Osteophytic, Chondral, and Subchondral Structures in a Surgically-Induced Osteoarthritis Rabbit Model. PLoS ONE. 9(12). e113707–e113707. 7 indexed citations
14.
Zhao, Wenpeng, Jinyun Chen, & Wenzhi Chen. (2014). Effect of Abdominal Liposuction on Sonographically Guided High‐Intensity Focused Ultrasound Ablation. Journal of Ultrasound in Medicine. 33(9). 1539–1544. 3 indexed citations
15.
Wang, Xiaoyan, Juan Qin, Jinyun Chen, et al.. (2013). The effect of high-intensity focused ultrasound treatment on immune function in patients with uterine fibroids. International Journal of Hyperthermia. 29(3). 225–233. 22 indexed citations
16.
Qin, Juan, et al.. (2013). Effect of high-intensity focused ultrasound on sexual function in the treatment of uterine fibroids: comparison to conventional myomectomy. Archives of Gynecology and Obstetrics. 288(4). 851–858. 29 indexed citations
17.
Chen, Jinyun, Mala Pande, Chongjuan Wei, et al.. (2012). Cell cycle–related genes as modifiers of age of onset of colorectal cancer in Lynch syndrome: a large-scale study in non-Hispanic white patients. Carcinogenesis. 34(2). 299–306. 9 indexed citations
18.
Bellows, Charles F., Yan Zhang, Jinyun Chen, Marsha L. Frazier, & Mikhail G. Kolonin. (2011). Circulation of Progenitor Cells in Obese and Lean Colorectal Cancer Patients. Cancer Epidemiology Biomarkers & Prevention. 20(11). 2461–2468. 61 indexed citations
19.
Chen, Jinyun, et al.. (2010). Ultrasound-guided high-intensity focused ultrasound ablation for adenomyosis: the clinical experience of a single center. Fertility and Sterility. 95(3). 900–905. 85 indexed citations
20.
Chen, Jinyun, Ann M. Killary, Subrata Sen, et al.. (2008). Polymorphisms of p21 and p27 jointly contribute to an earlier age at diagnosis of pancreatic cancer. Cancer Letters. 272(1). 32–39. 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.

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