Chen‐Tian Shen

3.2k total citations · 1 hit paper
75 papers, 2.4k citations indexed

About

Chen‐Tian Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chen‐Tian Shen has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Surgery and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chen‐Tian Shen's work include Thyroid Cancer Diagnosis and Treatment (30 papers), Thyroid and Parathyroid Surgery (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Chen‐Tian Shen is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (30 papers), Thyroid and Parathyroid Surgery (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Chen‐Tian Shen collaborates with scholars based in China, United States and Taiwan. Chen‐Tian Shen's co-authors include Quan‐Yong Luo, Zhong‐Ling Qiu, Hong-Jun Song, Weijun Wei, Martin G. Pomper, Catherine A. Foss, Zhen‐Kui Sun, Gabsang Lee, Nikhil Panicker and Han Seok Ko and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Chen‐Tian Shen

69 papers receiving 2.4k citations

Hit Papers

Transneuronal Propagation of Pathologic α-Synuclein from ... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Tian Shen China 24 624 589 453 323 253 75 2.4k
Paolo Ragonese Italy 33 1.1k 1.8× 371 0.6× 151 0.3× 232 0.7× 227 0.9× 110 2.8k
Mark Fisher United States 40 1.1k 1.7× 618 1.0× 123 0.3× 403 1.2× 184 0.7× 159 4.4k
William Hill United States 25 265 0.4× 1.1k 1.8× 127 0.3× 555 1.7× 204 0.8× 73 3.0k
Nicole J. Ullrich United States 40 1.6k 2.6× 1.2k 2.0× 146 0.3× 166 0.5× 229 0.9× 132 4.3k
Nobuyuki Tanaka Japan 35 222 0.4× 717 1.2× 250 0.6× 365 1.1× 604 2.4× 264 4.4k
Janet K. Williams United States 34 625 1.0× 734 1.2× 92 0.2× 231 0.7× 124 0.5× 159 3.6k
Dong Kim United States 39 1.2k 2.0× 1.2k 2.0× 93 0.2× 258 0.8× 253 1.0× 185 4.7k
Grazia Maugeri Italy 29 216 0.3× 607 1.0× 99 0.2× 376 1.2× 115 0.5× 94 2.3k
Jin Zhou China 25 121 0.2× 606 1.0× 119 0.3× 284 0.9× 456 1.8× 97 1.8k

Countries citing papers authored by Chen‐Tian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Tian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen‐Tian Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Tian Shen. A scholar is included among the top collaborators of Chen‐Tian Shen 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 Chen‐Tian Shen. Chen‐Tian Shen 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.
Li, Chengfan, et al.. (2024). 3DFRINet: A Framework for the Detection and Diagnosis of Fracture Related Infection in Low Extremities Based on 18F-FDG PET/CT 3D Images. Computerized Medical Imaging and Graphics. 115. 102394–102394. 1 indexed citations
2.
Wang, Ren, Yang Wang, Liying Hou, et al.. (2023). AI‐BRAFV600E: A deep convolutional neural network for BRAFV600E mutation status prediction of thyroid nodules using ultrasound images. SHILAP Revista de lepidopterología. 4(2). 5 indexed citations
3.
Hou, Liying, Hong-Jun Song, Zhong‐Ling Qiu, et al.. (2023). TSH ≥30 mU/L may not be necessary for successful 131I remnant ablation in patients with differentiated thyroid cancer. European Thyroid Journal. 12(4). 5 indexed citations
4.
Sun, Zhen‐Kui, et al.. (2023). An artificial intelligence framework for the diagnosis of prosthetic joint infection based on 99mTc-MDP dynamic bone scintigraphy. European Radiology. 33(10). 6794–6803. 7 indexed citations
5.
Ding, Xuehai, Yanting Liu, Junjuan Zhao, et al.. (2023). A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images. Computerized Medical Imaging and Graphics. 109. 102298–102298. 11 indexed citations
6.
Wang, Yanbing, Zhen‐Kui Sun, Xiao Liang, & Chen‐Tian Shen. (2023). Inguinal draining-lymph node in 18F-FDG PET/CT images could be a new indicator for the diagnosis of fracture-related infection in the lower extremities. Frontiers in Immunology. 14. 1206682–1206682. 3 indexed citations
7.
Liu, Yanting, et al.. (2022). Automated classification of cervical lymph-node-level from ultrasound using Depthwise Separable Convolutional Swin Transformer. Computers in Biology and Medicine. 148. 105821–105821. 11 indexed citations
9.
Zhang, Guoqiang, Chen‐Tian Shen, Hong-Jun Song, Zhong‐Ling Qiu, & Quan‐Yong Luo. (2020). High Expression of Interleukin-12A and Its Association with the Clinicopathology and Prognosis of Differentiated Thyroid Cancer. European Thyroid Journal. 9(3). 139–147. 4 indexed citations
11.
Gu, Ke, et al.. (2019). Small cell carcinoma of the uterine cervix with cerebellar metastasis: A special case report with literature review. Iranian Journal of radiation research. 17(2). 345–353.
12.
Kim, Sangjune, Seung‐Hwan Kwon, Tae‐In Kam, et al.. (2019). Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron. 103(4). 627–641.e7. 961 indexed citations breakdown →
13.
14.
Wei, Weijun, Chen‐Tian Shen, Hong-Jun Song, Zhong‐Ling Qiu, & Quan‐Yong Luo. (2016). Propranolol sensitizes thyroid cancer cells to cytotoxic effect of vemurafenib. Oncology Reports. 36(3). 1576–1584. 23 indexed citations
15.
Qiu, Zhong‐Ling, Chen‐Tian Shen, Zhen‐Kui Sun, et al.. (2016). Circulating Long Non-Coding RNAs Act as Biomarkers for Predicting 131I Uptake and Mortality in Papillary Thyroid Cancer Patients with Lung Metastases. Cellular Physiology and Biochemistry. 40(6). 1377–1390. 32 indexed citations
16.
Qiu, Zhong‐Ling, Chen‐Tian Shen, Hong-Jun Song, Weijun Wei, & Quan‐Yong Luo. (2015). Differential expression profiling of circulation microRNAs in PTC patients with non- 131 I and 131 I-avid lungs metastases: a pilot study. Nuclear Medicine and Biology. 42(5). 499–504. 19 indexed citations
17.
Wei, Weijun, Chen‐Tian Shen, Hong-Jun Song, Zhong‐Ling Qiu, & Quan‐Yong Luo. (2015). Metastatic Malignant Fibrous Histiocytoma Infiltrating Sigmoid Colon. Clinical Nuclear Medicine. 41(4). 338–340. 2 indexed citations
18.
Shen, Chen‐Tian, Weijun Wei, Zhong‐Ling Qiu, Hong-Jun Song, & Quan‐Yong Luo. (2015). Value of post-therapeutic 131I scintigraphy in stimulated serum thyroglobulin-negative patients with metastatic differentiated thyroid carcinoma. Endocrine. 51(2). 283–290. 11 indexed citations
19.
Xu, Yanhong, et al.. (2014). Iodine-131 SPET/CT and 18F-FDG PET/CT for the identification and localization of mediastinal lymph node metastases from differentiated thyroid carcinoma.. PubMed. 16(3). 199–203. 4 indexed citations
20.
Shen, Chen‐Tian, et al.. (2008). Does Mental Illness Affect Consumer Direction of Community-Based Care? Lessons From the Arkansas Cash and Counseling Program. The Gerontologist. 48(1). 93–104. 26 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026