Suqing Tian

669 total citations
33 papers, 434 citations indexed

About

Suqing Tian is a scholar working on Radiation, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Suqing Tian has authored 33 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiation, 12 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Suqing Tian's work include Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Management of metastatic bone disease (6 papers). Suqing Tian is often cited by papers focused on Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Management of metastatic bone disease (6 papers). Suqing Tian collaborates with scholars based in China, United States and Italy. Suqing Tian's co-authors include Junjie Wang, Yuliang Jiang, Haitao Sun, Jinna Li, Dianrong Xiu, Ping Jiang, Fuxin Guo, Ang Qu, Hao Wang and Yuliang Jiang and has published in prestigious journals such as Biomaterials, International Journal of Radiation Oncology*Biology*Physics and BioMed Research International.

In The Last Decade

Suqing Tian

30 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suqing Tian China 13 178 177 152 148 107 33 434
Ritu Raj Upreti India 11 270 1.5× 379 2.1× 243 1.6× 86 0.6× 43 0.4× 31 527
May Teoh United Kingdom 2 317 1.8× 409 2.3× 245 1.6× 58 0.4× 37 0.3× 7 525
Tairo Kashihara Japan 13 153 0.9× 121 0.7× 127 0.8× 180 1.2× 90 0.8× 75 525
Fuxin Guo China 11 130 0.7× 193 1.1× 107 0.7× 159 1.1× 62 0.6× 28 348
Antonetta C. Houweling Netherlands 14 243 1.4× 374 2.1× 397 2.6× 68 0.5× 48 0.4× 24 614
S. Marcié France 15 337 1.9× 283 1.6× 164 1.1× 151 1.0× 195 1.8× 41 671
Jinhyun Choi South Korea 14 154 0.9× 109 0.6× 108 0.7× 146 1.0× 120 1.1× 42 465
Mi Huang United States 10 195 1.1× 57 0.3× 403 2.7× 85 0.6× 84 0.8× 10 505
Fábio Almeida United States 10 272 1.5× 53 0.3× 268 1.8× 77 0.5× 117 1.1× 19 456
P. Pedicini Italy 13 229 1.3× 183 1.0× 221 1.5× 64 0.4× 66 0.6× 30 490

Countries citing papers authored by Suqing Tian

Since Specialization
Citations

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

Fields of papers citing papers by Suqing Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suqing Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Suqing Tian. A scholar is included among the top collaborators of Suqing Tian 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 Suqing Tian. Suqing Tian 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.
Chen, Yiwei, Zhenyu Zhou, Dihua Wang, et al.. (2025). Multimodal synergistic effects and theranostic integration of hafnium-based nanoradiosensitizers for enhancing precision radiotherapy. Biomaterials. 329. 123918–123918.
2.
Tian, Suqing, et al.. (2025). The impact of sino-US trade frictions on innovation investment in high-tech enterprises. Finance research letters. 86. 108887–108887.
3.
Tian, Suqing, et al.. (2024). A multicenter study on deep learning for glioblastoma auto‐segmentation with prior knowledge in multimodal imaging. Cancer Science. 115(10). 3415–3425. 4 indexed citations
4.
Liu, Zhigang, Jing Huang, Jianping Bi, et al.. (2023). Long-Term Outcomes of Nasopharyngeal Carcinoma by Epstein–Barr Virus Status in the Chinese Population: A Multicenter Investigation. Journal of Clinical Medicine. 12(8). 3005–3005. 4 indexed citations
5.
Zhang, Shuming, Hao Wang, Suqing Tian, et al.. (2020). A slice classification model-facilitated 3D encoder–decoder network for segmenting organs at risk in head and neck cancer. Journal of Radiation Research. 62(1). 94–103. 18 indexed citations
6.
7.
Qu, Ang, Ping Jiang, Haitao Sun, et al.. (2018). Efficacy and dosimetry analysis of image-guided radioactive 125I seed implantation as salvage treatment for pelvic recurrent cervical cancer after external beam radiotherapy. Journal of Gynecologic Oncology. 30(1). e9–e9. 26 indexed citations
8.
9.
Jiang, Yuliang, et al.. (2017). Dosimetry of CT Guidance I-125 Seed Implantation for Pelvic Recurrent Rectal Cancer Assisted By 3D Printing Individual Noncoplanar Templates. International Journal of Radiation Oncology*Biology*Physics. 99(2). E196–E196. 1 indexed citations
10.
Jiang, Yuliang, Hao Wang, Zhe Ji, et al.. (2016). Computed tomography image-guided and personalized 3D printed template-assisted 125-iodine seed implantation for recurrent pelvic tumor: a dosimetric study. Zhonghua fangshe zhongliuxue zazhi. 25(9). 959–964. 5 indexed citations
11.
Wang, Hao, Junjie Wang, Huishu Yuan, et al.. (2016). Efficacy and dosimetry of computed tomography image-guided 125I radioactive seed implantation for locally recurrent rectal cancer. Zhonghua fangshe zhongliuxue zazhi. 25(10). 1096–1099. 3 indexed citations
12.
Zhang, Qinghui, Suqing Tian, & Giovanni Borasi. (2015). A new definition of biological effective dose: The dose distribution effects. Physica Medica. 31(8). 1060–1064. 5 indexed citations
13.
14.
Zhao, Nan, Ruijie Yang, Yuliang Jiang, et al.. (2015). A Hybrid IMRT/VMAT Technique for the Treatment of Nasopharyngeal Cancer. BioMed Research International. 2015. 1–8. 13 indexed citations
15.
Yao, Lihong, Yuliang Jiang, Ping Jiang, et al.. (2015). CT-guided permanent 125I seed interstitial brachytherapy for recurrent retroperitoneal lymph node metastases after external beam radiotherapy. Brachytherapy. 14(5). 662–669. 21 indexed citations
16.
Wang, Hao, Huishu Yuan, Jinna Li, et al.. (2014). CT-guided 125I radioactive seed implantation for locally recurrent rectal cancer. Zhonghua fangshe yixue yu fanghu zazhi. 34(1). 30–33. 1 indexed citations
17.
Wang, Hao, Junjie Wang, Yuliang Jiang, et al.. (2013). The investigation of 125I seed implantation as a salvage modality for unresectable pancreatic carcinoma. Journal of Experimental & Clinical Cancer Research. 32(1). 106–106. 54 indexed citations
18.
Tian, Suqing, et al.. (2012). Radiosensitization of cetuximab on human tongue cancer cell line Tca8113. Zhonghua fangshe yixue yu fanghu zazhi. 32(4). 354–357. 1 indexed citations
19.
Wang, Junjie, et al.. (2009). Intraoperative ultrasound-guided iodine-125 seed implantation for unresectable pancreatic carcinoma. Journal of Experimental & Clinical Cancer Research. 28(1). 88–88. 46 indexed citations
20.
Wang, Junjie, et al.. (2007). Rectal complications of 125 I interstitial brachytherapy for prostate cancer under transrectal ultrasonography guidance. Zhonghua fangshe yixue yu fanghu zazhi. 27(2). 172–174. 1 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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