Gao Si

591 total citations
36 papers, 391 citations indexed

About

Gao Si is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cancer Research. According to data from OpenAlex, Gao Si has authored 36 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 6 papers in Cancer Research. Recurrent topics in Gao Si's work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (12 papers) and Medical Imaging Techniques and Applications (6 papers). Gao Si is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (12 papers) and Medical Imaging Techniques and Applications (6 papers). Gao Si collaborates with scholars based in China, United States and Hong Kong. Gao Si's co-authors include Siyao Du, Lina Zhang, Hongzan Sun, Jun Xin, Zaiming Lu, Yuee Teng, Song Gao, Shu Li, Miao Sun and Can Peng and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Gao Si

32 papers receiving 385 citations

Peers

Gao Si
Cheryl R. Herman United States
Emily N. Kinsey United States
Peter A. Harri United States
Lindsey Mitrani United States
Bao Jing China
Jolien Heukelom Netherlands
Cheryl R. Herman United States
Gao Si
Citations per year, relative to Gao Si Gao Si (= 1×) peers Cheryl R. Herman

Countries citing papers authored by Gao Si

Since Specialization
Citations

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

Fields of papers citing papers by Gao Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Si

This figure shows the co-authorship network connecting the top 25 collaborators of Gao Si. A scholar is included among the top collaborators of Gao Si 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 Gao Si. Gao Si 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
2.
Si, Gao, et al.. (2025). Single-cell RNA sequencing reveals the role of GTF2F2 in ovarian cancer oncogenesis and progression. Journal of Ovarian Research. 18(1). 114–114.
3.
Cao, Yuan, et al.. (2024). Comparison of different immobilisation durations following open surgery for acute achilles tendon rupture: a prospective cohort study. Journal of Orthopaedic Surgery and Research. 19(1). 497–497. 3 indexed citations
5.
Si, Gao, et al.. (2024). Association of immune cells and the risk of esophageal cancer: A Mendelian randomization study in a East Asian population. Medicine. 103(18). e38064–e38064. 2 indexed citations
10.
Jiang, Wenhong, Siyao Du, Gao Si, et al.. (2023). Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response. Insights into Imaging. 14(1). 162–162. 2 indexed citations
11.
Si, Gao, Tong Li, Xiaoguang Liu, et al.. (2020). Correlation analysis between postoperative hip pain and spino-pelvic/hip parameters in adult scoliosis patients after long-segment spinal fusion. European Spine Journal. 29(12). 2990–2997. 8 indexed citations
12.
Du, Siyao, et al.. (2020). Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI. Magnetic Resonance Imaging. 77. 148–158. 26 indexed citations
13.
Du, Siyao, Gao Si, Shu Li, et al.. (2020). A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients. BMC Medical Imaging. 20(1). 118–118. 21 indexed citations
14.
Du, Siyao, et al.. (2020). Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients. Quantitative Imaging in Medicine and Surgery. 10(6). 1307–1317. 18 indexed citations
15.
Si, Gao, Tong Li, Yu Wang, et al.. (2020). Minimally invasive surgery versus standard posterior approach for Lenke Type 1–4 adolescent idiopathic scoliosis: a multicenter, retrospective study. European Spine Journal. 30(3). 706–713. 12 indexed citations
17.
Du, Siyao, Hongzan Sun, Gao Si, Jun Xin, & Zaiming Lu. (2019). Metabolic parameters with different thresholds for evaluating tumor recurrence and their correlations with hematological parameters in locally advanced squamous cell cervical carcinoma: an observational 18F-FDG PET/CT study. Quantitative Imaging in Medicine and Surgery. 9(3). 440–452. 14 indexed citations
18.
Wang, Ke, Wei Zhang, Zhiyao Zhou, et al.. (2018). Implementation of good life with osteoarthritis from Denmark (GLA:DTM) in China: the pilot results and a survey on patient views and preferences. Osteoarthritis and Cartilage. 26. S317–S318. 1 indexed citations
19.
Sun, Miao, et al.. (2018). Inhibition of CREPT restrains gastric cancer growth by regulation of cycle arrest, migration and apoptosis via ROS-regulated p53 pathway. Biochemical and Biophysical Research Communications. 496(4). 1183–1190. 19 indexed citations
20.
Si, Gao, et al.. (2018). Lower extremity CT angiography at 80 kVp using iterative model reconstruction. Diagnostic and Interventional Imaging. 99(9). 561–568. 13 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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