Chen‐Tian Shen

3.2k citations
75 papers · 2.4k indexed · 1 hit paper · h-index 24

Chen‐Tian Shen

69 papers receiving 2.4k citations

Hit Papers

Transneuronal Propagation of Pathologic α-Synuclein from ...9612019202620212023250500750

Peers

Chen‐Tian Shen
Comparison fields: 5 of 157
  • Neurology 624
  • Biological Psychiatry 83
  • Neurology 225
  • Endocrinology, Diabetes and Metabolism 453
  • Cancer Research 204
Replace Paolo Ragonese with:
Paolo Ragonese Italy
Andrew Robinson United Kingdom
Mark Fisher United States
Gang Zhu China
Serafino Ricci Italy
Dong Kim United States
Amy M. Shui United States
Robert D. Steiner United States
Flemming Skovby Denmark
Chen‐Tian Shen relative to Paolo Ragonese Italy Paolo Ragonese's profile →
Citations per field
00.5×
Paolo Ragonese · 1×
Citations per year

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

The 25 scholars most cited alongside Chen‐Tian Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen‐Tian Shen Line = papers co-authored together Chen‐Tian Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20235
4 20237
5 202311
6 20233
7 202211
8 202028
9 20204
10 202014
11
Small cell carcinoma of the uterine cervix with cerebellar metastasis: A special case report with literature review
20190
12
Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Diseasebreakdown →
2019961
13 201910
14 201623
15 201632
16 201519
17 20152
18 201511
19
Iodine-131 SPET/CT and 18F-FDG PET/CT for the identification and localization of mediastinal lymph node metastases from differentiated thyroid carcinoma.
20144
20 200826

About Chen‐Tian Shen

Chen‐Tian Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Health Informatics and Cancer Research, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (30 papers), Thyroid and Parathyroid Surgery (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer-related Molecular Pathways (7 papers), Medical Imaging and Pathology Studies (7 papers), Thyroid Disorders and Treatments (7 papers), Orthopedic Infections and Treatments (6 papers) and Head and Neck Anomalies (5 papers). The work is most often cited by research in Neurology (624 citations), Biological Psychiatry (83 citations) and Neurology (225 citations). Chen‐Tian Shen has collaborated with scholars based in China, United States and Taiwan. Frequent 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. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

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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2026