Chao‐Long Chen

8.2k total citations
295 papers, 5.8k citations indexed

About

Chao‐Long Chen is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Chao‐Long Chen has authored 295 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Surgery, 178 papers in Hepatology and 80 papers in Epidemiology. Recurrent topics in Chao‐Long Chen's work include Organ Transplantation Techniques and Outcomes (134 papers), Liver Disease and Transplantation (113 papers) and Liver Disease Diagnosis and Treatment (64 papers). Chao‐Long Chen is often cited by papers focused on Organ Transplantation Techniques and Outcomes (134 papers), Liver Disease and Transplantation (113 papers) and Liver Disease Diagnosis and Treatment (64 papers). Chao‐Long Chen collaborates with scholars based in Taiwan, Japan and United States. Chao‐Long Chen's co-authors include Yu‐Fan Cheng, Chih‐Chi Wang, Chih‐Che Lin, Allan M. Concejero, Bruno Jawan, Jing‐Houng Wang, Yaw‐Sen Chen, Tsung‐Hui Hu, Sheng‐Nan Lu and Shigeru Goto and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Oncology.

In The Last Decade

Chao‐Long Chen

285 papers receiving 5.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chao‐Long Chen 3.2k 2.9k 1.8k 733 655 295 5.8k
Yasuhiro Ogura 3.2k 1.0× 3.6k 1.2× 1.7k 0.9× 716 1.0× 508 0.8× 247 7.5k
Rafik M. Ghobrial 3.2k 1.0× 3.0k 1.0× 1.6k 0.9× 488 0.7× 318 0.5× 137 6.0k
Markus Selzner 5.3k 1.7× 5.8k 2.0× 2.4k 1.4× 736 1.0× 482 0.7× 215 9.3k
Dimitrios Moris 1.2k 0.4× 2.9k 1.0× 985 0.5× 1.8k 2.5× 1.5k 2.2× 332 6.2k
Matthias Glanemann 1.3k 0.4× 1.9k 0.7× 619 0.3× 648 0.9× 443 0.7× 139 3.1k
Sang‐Jae Park 1.4k 0.4× 2.2k 0.7× 918 0.5× 2.0k 2.7× 1.4k 2.2× 215 4.8k
Satoshi Yamamoto 1.3k 0.4× 1.6k 0.5× 778 0.4× 701 1.0× 1.0k 1.5× 252 4.0k
Long‐Bin Jeng 952 0.3× 1.8k 0.6× 657 0.4× 846 1.2× 745 1.1× 187 3.8k
Roy Calne 2.2k 0.7× 3.5k 1.2× 1.2k 0.6× 474 0.6× 320 0.5× 119 5.9k
Vivian C. McAlister 1.0k 0.3× 2.0k 0.7× 605 0.3× 378 0.5× 525 0.8× 211 4.3k

Countries citing papers authored by Chao‐Long Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Long Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Long Chen. A scholar is included among the top collaborators of Chao‐Long 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 Chao‐Long Chen. Chao‐Long 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.
Li, Zhihao, Leonardo Centonze, Tommy Ivanics, et al.. (2025). Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model. Communications Medicine. 5(1). 284–284. 2 indexed citations
2.
3.
Li, Chun‐Wei, Chih‐Che Lin, Hock‐Liew Eng, et al.. (2024). Usefulness of Diffusion-Weighted Imaging in Evaluating Acute Cellular Rejection and Monitoring Treatment Response in Liver Transplant Recipients. Diagnostics. 14(8). 807–807. 1 indexed citations
4.
Uchida, Hajime, Suk Kyun Hong, Shinya Okumura, et al.. (2024). Current Status and Outcomes of Living Donor Liver Transplantation for Pediatric Acute Liver Failure: Results From a Multicenter Retrospective Study Over Two Decades. Pediatric Transplantation. 28(6). e14838–e14838. 1 indexed citations
5.
6.
Chen, Chao‐Long, et al.. (2023). Lanthanide-oxo clusters for efficient catalytic reduction of carboxamides. Science China Chemistry. 66(2). 443–448. 8 indexed citations
7.
Wang, Haiying, Xu Han, Chao‐Long Chen, et al.. (2023). Parallelogram 3d-4f-5d heterometallic clusters based on trilacunary tungstoantimonates with excellent proton conductivity. Chinese Chemical Letters. 35(3). 108486–108486. 4 indexed citations
8.
Lin, Yu‐Hung, et al.. (2023). Long-term renal outcomes comparison between patients with chronic kidney disease and hepatorenal syndrome after living donor liver transplantation. Frontiers in Surgery. 10. 1116728–1116728. 2 indexed citations
9.
Liu, Weidong, Liuqing Chen, Han Xu, et al.. (2023). A mixed valence decanuclear cerium-oxo cluster CeIII4CeIV6 for efficient photocurrent response. Inorganic Chemistry Communications. 159. 111763–111763. 1 indexed citations
10.
11.
Chen, Meng‐Hsiang, Chun‐Yen Yu, Chao‐Long Chen, et al.. (2022). Non-Contrast-Enhanced and Contrast-Enhanced Magnetic Resonance Angiography in Living Donor Liver Vascular Anatomy. Diagnostics. 12(2). 498–498. 3 indexed citations
12.
Cheng, Yu‐Fan, et al.. (2022). A Scoring System for Predicting Microvascular Invasion in Hepatocellular Carcinoma Based on Quantitative Functional MRI. Journal of Clinical Medicine. 11(13). 3789–3789. 3 indexed citations
13.
Tsai, Ming‐Chao, Yu-Yin Liu, Chih‐Che Lin, et al.. (2020). Gut Microbiota Dysbiosis in Patients with Biopsy-Proven Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study in Taiwan. Nutrients. 12(3). 820–820. 70 indexed citations
14.
Sasaki, Motoko, Fang‐Ying Kuo, Chao‐Cheng Huang, et al.. (2018). Increased expression of senescence‐associated cell cycle regulators in the progression of biliary atresia: an immunohistochemical study. Histopathology. 72(7). 1164–1171. 12 indexed citations
15.
Chen, Chih‐Jen, Kuang-Che Kuo, Ying‐Hsien Huang, et al.. (2015). The Characteristics of Antioxidant Activity after Liver Transplantation in Biliary Atresia Patients. BioMed Research International. 2015. 1–7. 4 indexed citations
16.
Chiu, King‐Wah, Toshiaki Nakano, Kuang‐Den Chen, et al.. (2013). Homogeneous phenomenon of the graft when using different genotype characteristic of recipients/donors in living donor liver transplantation. World Journal of Hepatology. 5(11). 642–642. 5 indexed citations
17.
Chiu, King‐Wah, Toshiaki Nakano, Yu‐Fan Cheng, et al.. (2012). Western blotting analysis for quantitative detection of CYP2C19 expression in liver tissues in the setting of living donor liver transplantation.. PubMed. 59(115). 805–8. 4 indexed citations
18.
Concejero, Allan M. & Chao‐Long Chen. (2009). Ethical Perspectives on Living Donor Organ Transplantation in Asia. Liver Transplantation. 15(12). 1658–1661. 30 indexed citations
19.
Lin, Tsan‐Shiun, Allan M. Concejero, Chao‐Long Chen, et al.. (2009). Routine Microsurgical Biliary Reconstruction Decreases Early Anastomotic Complications in Living Donor Liver Transplantation. Liver Transplantation. 15(12). 1766–1775. 52 indexed citations
20.
Iyer, Shridhar Ganpathi, Chao‐Long Chen, Chih‐Chi Wang, et al.. (2007). Long-Term Results of Living Donor Liver Transplantation for Glycogen Storage Disorders in Children†. Liver Transplantation. 13(6). 848–852. 33 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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