Dion Chen

466 total citations
9 papers, 357 citations indexed

About

Dion Chen is a scholar working on Epidemiology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Dion Chen has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Immunology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Dion Chen's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Dion Chen is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Dion Chen collaborates with scholars based in United States, Netherlands and Taiwan. Dion Chen's co-authors include Gary Toedter, Francisco León, René Coupez, Arie Weinstock, Armel Stockis, Wendy G. Mitchell, Zhihong Lu, Yanli Zhuang, Honghui Zhou and Tracy A. Glauser and has published in prestigious journals such as Scientific Reports, The American Journal of Gastroenterology and Journal of the American Academy of Dermatology.

In The Last Decade

Dion Chen

9 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dion Chen United States 8 95 77 72 65 62 9 357
Aurore Devocelle France 12 149 1.6× 48 0.6× 13 0.2× 31 0.5× 29 0.5× 15 488
Cara Nelson United States 8 32 0.3× 29 0.4× 30 0.4× 35 0.5× 32 0.5× 32 314
E. Baumelou France 8 28 0.3× 20 0.3× 25 0.3× 20 0.3× 33 0.5× 18 521
Kevin Rockich United States 11 84 0.9× 36 0.5× 13 0.2× 42 0.6× 15 0.2× 22 422
U. Karck Germany 11 82 0.9× 47 0.6× 10 0.1× 34 0.5× 25 0.4× 20 368
J. H. Peters United States 8 35 0.4× 44 0.6× 15 0.2× 30 0.5× 22 0.4× 12 394
Tadaki Yasumura Japan 11 24 0.3× 38 0.5× 37 0.5× 38 0.6× 8 0.1× 27 420
Mohd Anisul Karim United Kingdom 9 47 0.5× 28 0.4× 13 0.2× 44 0.7× 36 0.6× 11 451
Hidde H. Huidekoper Netherlands 15 48 0.5× 67 0.9× 14 0.2× 107 1.6× 127 2.0× 44 651
Afaf Elsaid Egypt 10 74 0.8× 20 0.3× 14 0.2× 51 0.8× 40 0.6× 49 288

Countries citing papers authored by Dion Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dion Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dion Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dion Chen. A scholar is included among the top collaborators of Dion 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 Dion Chen. Dion Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zhu, Yaowei, Yan Xu, Yanli Zhuang, et al.. (2020). Evaluating Potential Disease‐Mediated Protein‐Drug Interactions in Patients With Moderate‐to‐Severe Plaque Psoriasis Receiving Subcutaneous Guselkumab. Clinical and Translational Science. 13(6). 1217–1226. 10 indexed citations
2.
Wang, Jeremy, et al.. (2018). Development and Evaluation of Novel Statistical Methods in Urine Biomarker-Based Hepatocellular Carcinoma Screening. Scientific Reports. 8(1). 3799–3799. 21 indexed citations
3.
Chen, Dion, et al.. (2017). Building Classification Models with Combined Biomarker Tests: Application to Early Detection of Liver Cancer. PubMed. 5(3). 91–103. 3 indexed citations
4.
Wu, Yang‐Chang, Qingmin Wang, Michael Song, et al.. (2017). Clinical efficacy and IL-17 targeting mechanism of Indigo naturalis as a topical agent in moderate psoriasis. BMC Complementary and Alternative Medicine. 17(1). 439–439. 40 indexed citations
6.
Doyle, Mittie K., Mahboob U. Rahman, Bart Frederick, et al.. (2013). Effects of subcutaneous and intravenous golimumab on inflammatory biomarkers in patients with rheumatoid arthritis: results of a phase 1, randomized, open-label trial. Lara D. Veeken. 52(7). 1214–1219. 37 indexed citations
7.
Judson, Marc A., Richard Marchell, Elliot S. Barnathan, et al.. (2011). Molecular profiling and gene expression analysis in cutaneous sarcoidosis: The role of interleukin-12, interleukin-23, and the T-helper 17 pathway. Journal of the American Academy of Dermatology. 66(6). 901–910.e2. 58 indexed citations
8.
Toedter, Gary, Marion Blank, Yinghua Lang, et al.. (2009). Relationship of C-Reactive Protein With Clinical Response After Therapy With Ustekinumab in Crohn's Disease. The American Journal of Gastroenterology. 104(11). 2768–2773. 53 indexed citations
9.
Glauser, Tracy A., Wendy G. Mitchell, Arie Weinstock, et al.. (2007). Pharmacokinetics of Levetiracetam in Infants and Young Children with Epilepsy. Epilepsia. 48(6). 1117–1122. 72 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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