Xinchong Shi

590 total citations
45 papers, 419 citations indexed

About

Xinchong Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xinchong Shi has authored 45 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Neurology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xinchong Shi's work include Medical Imaging Techniques and Applications (14 papers), Glioma Diagnosis and Treatment (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Xinchong Shi is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Glioma Diagnosis and Treatment (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Xinchong Shi collaborates with scholars based in China, United States and Germany. Xinchong Shi's co-authors include Chang Yi, Xiangsong Zhang, Xiangsong Zhang, Zhifeng Chen, Qiao He, Zhoulei Li, Bing Zhang, Linqi Zhang, Wanqing Shen and Xiaoyan Wang and has published in prestigious journals such as Physics in Medicine and Biology, Medicine and Frontiers in Pharmacology.

In The Last Decade

Xinchong Shi

43 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinchong Shi China 13 141 75 69 65 62 45 419
Katharina J. Wenger Germany 11 95 0.7× 94 1.3× 123 1.8× 49 0.8× 51 0.8× 34 398
Caroline Bund France 11 105 0.7× 68 0.9× 122 1.8× 33 0.5× 44 0.7× 39 346
Vibeke A. Larsen Denmark 13 258 1.8× 73 1.0× 174 2.5× 38 0.6× 62 1.0× 24 535
J.L. Llácer Spain 10 120 0.9× 137 1.8× 102 1.5× 42 0.6× 117 1.9× 27 468
Morand Piert United States 11 180 1.3× 46 0.6× 106 1.5× 46 0.7× 44 0.7× 18 447
Lance T. Hall United States 15 250 1.8× 55 0.7× 56 0.8× 28 0.4× 113 1.8× 34 624
Justin Lee Canada 11 58 0.4× 85 1.1× 27 0.4× 117 1.8× 37 0.6× 29 405
Guanjun Wang China 10 171 1.2× 100 1.3× 24 0.3× 36 0.6× 25 0.4× 29 401
Martin Hunn Australia 11 49 0.3× 159 2.1× 104 1.5× 41 0.6× 35 0.6× 27 486
Yoshinori Miyake Japan 9 164 1.2× 54 0.7× 27 0.4× 25 0.4× 55 0.9× 28 392

Countries citing papers authored by Xinchong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xinchong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinchong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xinchong Shi. A scholar is included among the top collaborators of Xinchong 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 Xinchong Shi. Xinchong Shi 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, Wei–Neng, Xinchong Shi, Yingying Fang, et al.. (2025). Predicting brain amyloid load with digital and blood-based biomarkers. Alzheimer s Research & Therapy. 17(1). 149–149.
2.
Shi, Xinchong, et al.. (2024). Synthetic CT Generation via Variant Invertible Network for Brain PET Attenuation Correction. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(3). 325–336. 1 indexed citations
3.
Yi, Chang, Yuying Zhang, Bing Zhang, et al.. (2023). Biodistribution and radiation dosimetry in cancer patients of the ascorbic acid analogue 6-Deoxy-6-[18F] fluoro-L-ascorbic acid PET imaging: first-in-human study. European Journal of Nuclear Medicine and Molecular Imaging. 50(10). 3072–3083. 4 indexed citations
4.
Zhang, Bo, Xiangsong Zhang, Xiaoyun Zhou, et al.. (2023). Development and evaluation of a new high-TOF-resolution all-digital brain PET system. Physics in Medicine and Biology. 69(2). 25019–25019. 7 indexed citations
5.
Qiu, Jia, Wanqing Shen, Bing Zhang, et al.. (2022). Mitochondrial respiration inhibitor enhances the anti-tumor effect of high-dose ascorbic acid in castration-resistant prostate cancer. Journal of Molecular Medicine. 101(1-2). 125–138. 7 indexed citations
7.
Xian, Wenbiao, et al.. (2021). Corticostriatal Hypermetabolism in Moyamoya Disease-Induced Hemichorea: Two Case Reports and a Literature Review. Frontiers in Neurology. 12. 649014–649014. 2 indexed citations
8.
He, Qiao, Bing Zhang, Linqi Zhang, et al.. (2020). Diagnostic efficiency of 68Ga-DOTANOC PET/CT in patients with suspected tumour-induced osteomalacia. European Radiology. 31(4). 2414–2421. 8 indexed citations
9.
d’Ascenzo, N., Emanuele Antonecchia, Min Gao, et al.. (2019). Evaluation of a Digital Brain Positron Emission Tomography Scanner Based on the Plug&Imaging Sensor Technology. IEEE Transactions on Radiation and Plasma Medical Sciences. 4(3). 327–334. 16 indexed citations
10.
Ge, Jingjie, Xinchong Shi, Jian Wu, et al.. (2017). Characteristics of cerebral glucose metabolism on 18F-FDG PET imaging in patients with Parkinson′s disease. 37(4). 193–197.
11.
Xiao, Xiang, Qiang Lin, Wai Leung Ambrose Lo, et al.. (2017). Cerebral Reorganization in Subacute Stroke Survivors after Virtual Reality-Based Training: A Preliminary Study. Behavioural Neurology. 2017. 1–8. 40 indexed citations
12.
Zong, Zhen, et al.. (2016). PET-CT for Evaluation of Spleen and Liver 18F-FDG Diffuse Uptake Without Lymph Node Enlargement in Lymphoma. Medicine. 95(20). e3750–e3750. 14 indexed citations
13.
Zong, Zhen, et al.. (2016). 18F-Labeled NaF PET-CT in Detection of Bone Metastases in Patients With Preoperative Lung Cancer. Medicine. 95(16). e3490–e3490. 16 indexed citations
14.
Yi, Chang, et al.. (2015). Biodistribution and estimation of radiation-absorbed doses in humans for 13N-ammonia PET. Annals of Nuclear Medicine. 29(9). 810–815. 6 indexed citations
15.
Zhang, Bing, et al.. (2015). 18F-FDG PET/CT Findings in Multicentric Reticulohistiocytosis. Clinical Nuclear Medicine. 41(4). 333–335. 6 indexed citations
16.
Shi, Xinchong, Chang Yi, Xiaoyan Wang, et al.. (2014). 13N-Ammonia Combined With 18F-FDG Could Discriminate Between Necrotic High-Grade Gliomas and Brain Abscess. Clinical Nuclear Medicine. 40(3). 195–199. 18 indexed citations
17.
Shi, Xinchong, et al.. (2014). The Alteration of 18F-FDG Uptake in Bone Marrow After Treatment With Interleukin 11. Clinical Nuclear Medicine. 39(10). 934–935. 5 indexed citations
18.
Huang, Tingting, Hongliang Wang, Ganghua Tang, et al.. (2012). The Influence of Residual Nor-β-CFT in 11C CFT Injection on the Parkinson Disease Diagnosis. Clinical Nuclear Medicine. 37(8). 743–747. 6 indexed citations
19.
Shi, Xinchong, et al.. (2011). Incidental Finding of Appendiceal Tubular Adenoma by F-18 FDG PET/CT. Clinical Nuclear Medicine. 36(10). 965–966. 1 indexed citations
20.
Tang, Xiaolan, Hongliang Wang, Ganghua Tang, et al.. (2011). S-11C-Methyl-L-Cysteine: A New Amino Acid PET Tracer for Cancer Imaging. Journal of Nuclear Medicine. 52(2). 287–293. 24 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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