Po‐Ting Chen

819 total citations
39 papers, 467 citations indexed

About

Po‐Ting Chen is a scholar working on Surgery, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Po‐Ting Chen has authored 39 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Oncology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Po‐Ting Chen's work include Pancreatic and Hepatic Oncology Research (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Adrenal and Paraganglionic Tumors (5 papers). Po‐Ting Chen is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Adrenal and Paraganglionic Tumors (5 papers). Po‐Ting Chen collaborates with scholars based in Taiwan, United States and United Kingdom. Po‐Ting Chen's co-authors include Kao‐Lang Liu, Weichung Wang, Wei‐Chih Liao, Ming‐Shiang Wu, Tinghui Wu, Holger R. Roth, Yu‐Hsiang Tsai, Ya‐Hsiang Tai, Shih‐Che Huang and Rita P.‐Y. Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and The Journal of Physical Chemistry B.

In The Last Decade

Po‐Ting Chen

33 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Po‐Ting Chen Taiwan 11 211 198 152 79 55 39 467
Changyong Chen China 13 92 0.4× 89 0.4× 179 1.2× 60 0.8× 53 1.0× 49 482
Antonio Molina Spain 14 300 1.4× 68 0.3× 120 0.8× 83 1.1× 41 0.7× 30 881
Takashi Nagaoka Japan 14 86 0.4× 95 0.5× 42 0.3× 35 0.4× 48 0.9× 45 464
Yuka Kiriyama Japan 11 268 1.3× 83 0.4× 245 1.6× 111 1.4× 171 3.1× 34 574
Muqing Lin United States 16 364 1.7× 80 0.4× 129 0.8× 40 0.5× 170 3.1× 23 708
Khushboo Munir Italy 5 171 0.8× 62 0.3× 190 1.3× 27 0.3× 34 0.6× 6 396
Jiangang Chen China 14 247 1.2× 50 0.3× 112 0.7× 39 0.5× 87 1.6× 63 659
Samy Sadek Kuwait 14 84 0.4× 69 0.3× 53 0.3× 71 0.9× 41 0.7× 53 598
Yifeng Zhang China 15 94 0.4× 90 0.5× 24 0.2× 148 1.9× 58 1.1× 34 637

Countries citing papers authored by Po‐Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Po‐Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Po‐Ting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Po‐Ting Chen. A scholar is included among the top collaborators of Po‐Ting Chen 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 Po‐Ting Chen. Po‐Ting Chen 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.
2.
Hsieh, Cheng‐Yang, Po‐Ting Chen, Shih‐Chieh Shao, et al.. (2024). Validating ICD-10 Diagnosis Codes for Guillain-Barré Syndrome in Taiwan’s National Health Insurance Claims Database. Clinical Epidemiology. Volume 16. 733–742. 3 indexed citations
3.
Liao, Sih‐Han, Jia‐Huei Tsai, Po‐Ting Chen, et al.. (2024). Comparison of the clinicoradiological features and outcomes of lymphoepithelioma-like cholangiocarcinoma and conventional intrahepatic cholangiocarcinoma: A propensity score matching analysis. Journal of the Formosan Medical Association. 124(8). 724–730.
4.
5.
Chang, Yu‐Ling, Guan‐Yuan Chen, Bo‐Ching Lee, et al.. (2023). Optimizing adrenal vein sampling in primary aldosteronism subtyping through LC–MS/MS and secretion ratios of aldosterone, 18-oxocortisol, and 18-hydroxycortisol. Hypertension Research. 46(8). 1983–1994. 6 indexed citations
6.
Chen, Po‐Ting, Po‐Chuan Wang, Tinghui Wu, et al.. (2023). Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset. BMC Cancer. 23(1). 58–58. 7 indexed citations
7.
Chiang, Hsin-Yu, et al.. (2023). Test–Retest Reliability and Responsiveness of the Computerized Adaptive Test of Social Functioning in Persons With Stroke. Archives of Physical Medicine and Rehabilitation. 104(9). 1432–1438. 2 indexed citations
8.
Lee, Bo‐Ching, Po‐Ting Chen, Kao‐Lang Liu, et al.. (2023). Influence of autonomous cortisol secretion in patients with primary aldosteronism: subtype analysis and postoperative outcome. Endocrine Connections. 12(12). 2 indexed citations
9.
Chen, Po‐Ting, Tinghui Wu, Po‐Chuan Wang, et al.. (2022). Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study. Radiology. 306(1). 172–182. 82 indexed citations
10.
Chen, Po‐Ting, Kao‐Lang Liu, Wei‐Chih Liao, et al.. (2022). Radiomics utilization to differentiate nonfunctional adenoma in essential hypertension and functional adenoma in primary aldosteronism. Scientific Reports. 12(1). 8892–8892. 10 indexed citations
11.
Lee, Bo‐Ching, Po‐Ting Chen, Kao‐Lang Liu, et al.. (2021). Evaluation of Abdominal Computed Tomography Scans for Differentiating the Discrepancies in Abdominal Adipose Tissue Between Two Major Subtypes of Primary Aldosteronism. Frontiers in Endocrinology. 12. 647184–647184. 6 indexed citations
12.
Chen, Po‐Ting, et al.. (2021). Applications of artificial intelligence in pancreatic and biliary diseases. Journal of Gastroenterology and Hepatology. 36(2). 286–294. 7 indexed citations
13.
Liu, Kao‐Lang, Tinghui Wu, Po‐Ting Chen, et al.. (2020). Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation. The Lancet Digital Health. 2(6). e303–e313. 139 indexed citations
14.
Chen, Po‐Ting, Koping Chang, & Kao‐Lang Liu. (2018). Perirenal soft tissue infiltration from immunoglobulin G4–related disease. Canadian Medical Association Journal. 190(26). E801–E801. 1 indexed citations
15.
Chen, Po‐Ting, Kao‐Lang Liu, Tsu‐Yao Cheng, Chin‐Chen Chang, & Yeun‐Chung Chang. (2018). Indirect percutaneous core needle biopsy of solid pancreatic or peripancreatic lesions. Abdominal Radiology. 44(1). 292–303. 5 indexed citations
16.
Chen, Po‐Ting, Ming‐Tai Lin, Yih‐Sharng Chen, Shyh‐Jye Chen, & Mei‐Hwan Wu. (2017). Computed tomography predict regression of coronary artery aneurysm in patients with Kawasaki disease. Journal of the Formosan Medical Association. 116(10). 806–814. 11 indexed citations
17.
Chen, Kuo‐Ting, Po‐Ting Chen, Lin‐Ya Huang, et al.. (2016). Structural Investigation of Park’s Nucleotide on Bacterial Translocase MraY: Discovery of Unexpected MraY Inhibitors. Scientific Reports. 6(1). 31579–31579. 12 indexed citations
18.
Saito, Masataka, Satomi Suzuki, Kei Nanatani, et al.. (2016). Significant Heterogeneity and Slow Dynamics of the Unfolded Ubiquitin Detected by the Line Confocal Method of Single-Molecule Fluorescence Spectroscopy. The Journal of Physical Chemistry B. 120(34). 8818–8829. 7 indexed citations
19.
Chen, Po‐Ting, et al.. (2014). Expeditious Synthesis of Enantiopure, Orthogonally Protected Bis‐α‐Amino Acids (OPBAAs) and their Use in a Study of Nod1 Stimulation. Chemistry - An Asian Journal. 10(2). 474–482. 6 indexed citations
20.
Chen, Po‐Ting, et al.. (2010). A highly sensitive peptide substrate for detecting two Aβ-degrading enzymes: Neprilysin and insulin-degrading enzyme. Journal of Neuroscience Methods. 190(1). 57–62. 18 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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