Yiqun Sun

680 total citations
18 papers, 502 citations indexed

About

Yiqun Sun is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yiqun Sun has authored 18 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 13 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Yiqun Sun's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Colorectal Cancer Surgical Treatments (13 papers) and MRI in cancer diagnosis (6 papers). Yiqun Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Colorectal Cancer Surgical Treatments (13 papers) and MRI in cancer diagnosis (6 papers). Yiqun Sun collaborates with scholars based in China, United States and Germany. Yiqun Sun's co-authors include Tong Tong, Yajia Gu, Sanjun Cai, Chao Xin, Weijun Peng, Rui Bi, Lijun Shen, Tingdan Hu, Fan Xia and Zhen Zhang and has published in prestigious journals such as PLoS ONE, PLoS Medicine and Oncotarget.

In The Last Decade

Yiqun Sun

17 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiqun Sun China 9 345 319 93 74 65 18 502
Ines Joye Belgium 12 256 0.7× 379 1.2× 267 2.9× 106 1.4× 19 0.3× 29 566
Youichi Machida Japan 14 193 0.6× 87 0.3× 56 0.6× 89 1.2× 50 0.8× 37 370
Sue Chua United Kingdom 9 199 0.6× 147 0.5× 46 0.5× 201 2.7× 42 0.6× 21 369
Filiz Çelebi Türkiye 10 130 0.4× 130 0.4× 64 0.7× 41 0.6× 80 1.2× 25 294
Lilan Zhao China 11 232 0.7× 149 0.5× 92 1.0× 303 4.1× 51 0.8× 36 484
Diederik J. Höppener Netherlands 13 117 0.3× 337 1.1× 94 1.0× 77 1.0× 71 1.1× 26 494
Minyi Cheng China 11 141 0.4× 166 0.5× 56 0.6× 92 1.2× 186 2.9× 37 422
Quoc Riccardo Bao Italy 11 70 0.2× 306 1.0× 160 1.7× 109 1.5× 82 1.3× 34 399
Suqing Tian China 13 152 0.4× 107 0.3× 148 1.6× 178 2.4× 20 0.3× 33 434
Annemarie Bruining Netherlands 8 127 0.4× 103 0.3× 120 1.3× 110 1.5× 40 0.6× 21 342

Countries citing papers authored by Yiqun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yiqun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqun Sun

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

All Works

18 of 18 papers shown
3.
Liu, Zonglin, Jiadong Zhang, Caixia Fu, et al.. (2024). Multi-task reconstruction network for synthetic diffusion kurtosis imaging: Predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer. European Journal of Radiology. 174. 111402–111402. 3 indexed citations
4.
Sun, Yiqun, et al.. (2023). Joint extreme risk of energy prices-evidence from European energy markets. Finance research letters. 56. 104036–104036. 2 indexed citations
5.
Hu, Tingdan, et al.. (2023). Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis. Quantitative Imaging in Medicine and Surgery. 13(12). 8395–8412. 6 indexed citations
7.
You, Chao, Qin Xiao, Xinyi Zhu, et al.. (2021). The clinicopathological and MRI features of patients with BRCA1/2 mutations in familial breast cancer. Gland Surgery. 10(1). 262–272. 12 indexed citations
8.
Wang, Yaqi, Lifeng Yang, Hua Bao, et al.. (2021). Utility of ctDNA in predicting response to neoadjuvant chemoradiotherapy and prognosis assessment in locally advanced rectal cancer: A prospective cohort study. PLoS Medicine. 18(8). e1003741–e1003741. 99 indexed citations
9.
Yue, Yali, et al.. (2019). <p>Three-Dimensional CT Texture Analysis to Differentiate Colorectal Signet-Ring Cell Carcinoma and Adenocarcinoma</p>. Cancer Management and Research. Volume 11. 10445–10453. 8 indexed citations
10.
Sun, Yiqun, Qin Xiao, Caixia Fu, et al.. (2018). Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner. European Radiology. 28(12). 5211–5220. 20 indexed citations
11.
12.
Sun, Yiqun, et al.. (2018). Predictive value of MRI-detected extramural vascular invasion in stage T3 rectal cancer patients before neoadjuvant chemoradiation. Diagnostic and Interventional Radiology. 24(3). 128–134. 25 indexed citations
13.
Sun, Yiqun, Panpan Hu, Jiazhou Wang, et al.. (2018). Radiomic features of pretreatment MRI could identify T stage in patients with rectal cancer: Preliminary findings. Journal of Magnetic Resonance Imaging. 48(3). 615–621. 60 indexed citations
14.
Shen, Lijun, Yiqun Sun, Hui Zhang, et al.. (2017). T3 subclassification using the EMD/mesorectum ratio predicts neoadjuvant chemoradiation outcome in T3 rectal cancer patients. British Journal of Radiology. 91(1081). 20170617–20170617. 4 indexed citations
16.
Tong, Tong, Yiqun Sun, Sanjun Cai, Zhen Zhang, & Yajia Gu. (2015). Extramural depth of rectal cancer tumor invasion at thin-section MRI: predicting treatment response to neoadjuvant chemoradiation. Oncotarget. 6(30). 30277–30286. 4 indexed citations
17.
Tong, Tong, Yiqun Sun, Marc J. Gollub, et al.. (2015). Dynamic contrast‐enhanced MRI: Use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. Journal of Magnetic Resonance Imaging. 42(3). 673–680. 61 indexed citations
18.
Sun, Yiqun, Tong Tong, Sanjun Cai, et al.. (2014). Apparent Diffusion Coefficient (ADC) Value: A Potential Imaging Biomarker That Reflects the Biological Features of Rectal Cancer. PLoS ONE. 9(10). e109371–e109371. 93 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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