Shoujun Yu

501 total citations
9 papers, 392 citations indexed

About

Shoujun Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Shoujun Yu has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Shoujun Yu's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Thyroid and Parathyroid Surgery (4 papers) and Neuroendocrine Tumor Research Advances (2 papers). Shoujun Yu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Thyroid and Parathyroid Surgery (4 papers) and Neuroendocrine Tumor Research Advances (2 papers). Shoujun Yu collaborates with scholars based in China and Sweden. Shoujun Yu's co-authors include Shu‐Rong Wang, Wenwen Yue, Bin Wang, Xiju Wang, Yonglin Zhang, Qingling Xu, Qi Lu, Hui‐Xiong Xu, Wen G. Jiang and Geng Tian and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Frontiers in Physiology.

In The Last Decade

Shoujun Yu

8 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoujun Yu China 6 287 275 52 42 38 9 392
Weiwei Zhan China 9 289 1.0× 224 0.8× 50 1.0× 27 0.6× 13 0.3× 24 366
Danielle M. Richman United States 10 208 0.7× 158 0.6× 23 0.4× 25 0.6× 14 0.4× 14 325
Giulia Sapuppo Italy 11 241 0.8× 190 0.7× 35 0.7× 31 0.7× 6 0.2× 19 328
Stéphane Triau France 12 92 0.3× 134 0.5× 72 1.4× 78 1.9× 22 0.6× 21 342
Peter P. Issa United States 9 165 0.6× 131 0.5× 24 0.5× 42 1.0× 7 0.2× 43 277
Haichao Yan China 12 117 0.4× 258 0.9× 70 1.3× 67 1.6× 21 0.6× 30 431
Ji Sup Yun South Korea 8 171 0.6× 164 0.6× 26 0.5× 23 0.5× 10 0.3× 12 337
Benjamin Chevalier France 8 114 0.4× 86 0.3× 39 0.8× 76 1.8× 10 0.3× 28 273
Xiaolei Wang China 11 290 1.0× 241 0.9× 33 0.6× 34 0.8× 4 0.1× 54 447
Zhihui Li China 10 144 0.5× 90 0.3× 22 0.4× 41 1.0× 6 0.2× 33 230

Countries citing papers authored by Shoujun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shoujun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoujun Yu

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

All Works

9 of 9 papers shown
1.
Liu, Ying, Jinling Wang, Lihong Liu, et al.. (2022). Internal Jugular Vein Thrombosis After Microwave Ablation of Cervical Lymph Node Metastasis in Papillary Thyroid Microcarcinoma: A Case Report. Frontiers in Endocrinology. 13. 792715–792715. 2 indexed citations
2.
Yue, Wenwen, et al.. (2020). US-guided Microwave Ablation of Low-Risk Papillary Thyroid Microcarcinoma: Longer-Term Results of a Prospective Study. The Journal of Clinical Endocrinology & Metabolism. 105(6). 1791–1800. 53 indexed citations
3.
Liu, Shuyan, Xiju Wang, Shoujun Yu, et al.. (2020). A Meta-Analysis on the Association Between TNFSF4 Polymorphisms (rs3861950 T > C and rs1234313 A > G) and Susceptibility to Coronary Artery Disease. Frontiers in Physiology. 11. 539288–539288. 4 indexed citations
4.
5.
Wei, Xiaodan, Yuan Zhang, Shoujun Yu, et al.. (2018). PDLIM5 identified by label-free quantitative proteomics as a potential novel biomarker of papillary thyroid carcinoma. Biochemical and Biophysical Research Communications. 499(2). 338–344. 24 indexed citations
6.
Yue, Wenwen, et al.. (2015). Locoregional control of recurrent papillary thyroid carcinoma by ultrasound-guided percutaneous microwave ablation: A prospective study. International Journal of Hyperthermia. 31(4). 403–408. 48 indexed citations
7.
Yue, Wenwen, Shu‐Rong Wang, Shoujun Yu, & Bin Wang. (2014). Ultrasound-guided percutaneous microwave ablation of solitary T1N0M0 papillary thyroid microcarcinoma: Initial experience. International Journal of Hyperthermia. 30(2). 150–157. 87 indexed citations
8.
Wang, Shu‐Rong, et al.. (2012). Percutaneous thermal ablation for nodular thyroid diseases: an assessment of short-term effects. Academic Journal of Second Military Medical University. 31(12). 1316–1320.
9.
Yue, Wenwen, Shu‐Rong Wang, Qingling Xu, et al.. (2012). Ultrasound guided percutaneous microwave ablation of benign thyroid nodules: Safety and imaging follow-up in 222 patients. European Journal of Radiology. 82(1). e11–e16. 147 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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