Siya Shi

773 total citations · 1 hit paper
13 papers, 515 citations indexed

About

Siya Shi is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Siya Shi has authored 13 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Siya Shi's work include Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Siya Shi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Siya Shi collaborates with scholars based in China. Siya Shi's co-authors include Shaoxu Wu, Tianxin Lin, Yong Li, Hao Yu, Junjiong Zheng, Jian Huang, Yangfan Su, Hao Liu, Weibin Xie and Wen Dong and has published in prestigious journals such as Clinical Cancer Research, World Journal of Gastroenterology and European Radiology.

In The Last Decade

Siya Shi

13 papers receiving 513 citations

Hit Papers

A Radiomics Nomogram for the Preoperative Prediction of L... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siya Shi China 8 357 184 175 137 70 13 515
Maria Ciolina Italy 15 401 1.1× 241 1.3× 162 0.9× 442 3.2× 63 0.9× 24 719
Megumi Jinguji Japan 14 427 1.2× 212 1.2× 181 1.0× 96 0.7× 80 1.1× 58 671
Enming Cui China 14 461 1.3× 134 0.7× 333 1.9× 104 0.8× 125 1.8× 34 656
Chuanli Chen China 13 469 1.3× 157 0.9× 389 2.2× 233 1.7× 60 0.9× 20 718
Lifen Yan China 8 356 1.0× 124 0.7× 167 1.0× 99 0.7× 39 0.6× 14 428
Raghu Vikram United States 14 190 0.5× 190 1.0× 244 1.4× 148 1.1× 45 0.6× 32 538
Zhengrong Zhou China 12 254 0.7× 89 0.5× 114 0.7× 195 1.4× 35 0.5× 38 449
Thomas Thywissen Netherlands 5 410 1.1× 100 0.5× 92 0.5× 278 2.0× 36 0.5× 5 499
Joshua Shur United Kingdom 7 258 0.7× 54 0.3× 105 0.6× 81 0.6× 70 1.0× 24 339
R. Berenguer Spain 10 470 1.3× 81 0.4× 197 1.1× 88 0.6× 208 3.0× 20 632

Countries citing papers authored by Siya Shi

Since Specialization
Citations

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

Fields of papers citing papers by Siya Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siya Shi

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

All Works

13 of 13 papers shown
1.
Liu, Jiawei, Liqin Wang, Zhenpeng Peng, et al.. (2025). Added value of multifrequency magnetic resonance elastography in predicting pathological grading of pancreatic neuroendocrine neoplasms. Insights into Imaging. 16(1). 119–119. 1 indexed citations
2.
Shi, Siya, Ruihao Liu, Jian Zhou, et al.. (2024). Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adenocarcinoma. International Journal of Surgery. 111(1). 950–961. 3 indexed citations
3.
Liu, Jiawei, Jian Ling, Chenyu Song, et al.. (2024). Genetic syndromes associated with pancreatic neuroendocrine neoplasms and imaging diagnostic strategies. Abdominal Radiology. 50(7). 3187–3198. 1 indexed citations
6.
Shi, Siya, Yanji Luo, Zhi Bin Lin, et al.. (2022). Tumor fibrosis correlates with the survival of patients with pancreatic adenocarcinoma and is predictable using clinicoradiological features. European Radiology. 32(9). 6314–6326. 8 indexed citations
7.
Shi, Siya, Liqin Wang, Weiwei Deng, et al.. (2022). Use of dual-layer spectral detector computed tomography in the diagnosis of pancreatic neuroendocrine neoplasms. European Journal of Radiology. 159. 110660–110660. 9 indexed citations
8.
Shi, Siya, Liqin Wang, Zhenpeng Peng, et al.. (2022). Multi-frequency magnetic resonance elastography of the pancreas: measurement reproducibility and variance among healthy volunteers. Gastroenterology report. 10. goac033–goac033. 5 indexed citations
9.
Guan, Jian, Siya Shi, Chenyu Song, et al.. (2021). A narrative review of multiple endocrine neoplasia syndromes: genetics, clinical features, imaging findings, and diagnosis. Annals of Translational Medicine. 9(11). 944–944. 12 indexed citations
10.
Zhu, Wangshu, Siya Shi, Zehong Yang, Chao Song, & Jun Shen. (2020). Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure. World Journal of Gastroenterology. 26(11). 1208–1220. 23 indexed citations
11.
Li, Yong, Siya Shi, Kaiwen Li, et al.. (2018). Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer. Chinese Journal of Cancer. 37(1). 3–3. 17 indexed citations
12.
Wu, Shaoxu, Junjiong Zheng, Yong Li, et al.. (2018). Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. EBioMedicine. 34. 76–84. 110 indexed citations
13.
Wu, Shaoxu, Junjiong Zheng, Yong Li, et al.. (2017). A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. Clinical Cancer Research. 23(22). 6904–6911. 313 indexed citations breakdown →

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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