Yi–Ju Chen

235 papers receiving 7.8k citations

Yi–Ju Chen's Hit Papers

CAR-T: What Is Next? 2023 · 150 citations
1500+4+9Years since publication200400600

Peers

Yi–Ju Chen
Comparison fields: 5 of 173
  • Dermatology 906
  • Rheumatology 758
  • Urology 283
  • Immunology 1.0k
  • Hepatology 353
Replace Heather J. Cordell with:
Heather J. Cordell United Kingdom
Naftali Kaminski United States
Alan Cantor United States
Peter A. McCue United States
Peter S. Nelson United States
Giovanni Damiani Italy
Chun‐Pin Chiang Taiwan
Vera J. Suman United States
Judith D. Goldberg United States
Michael B. Cohen United States
Yi–Ju Chen relative to Heather J. Cordell United Kingdom Heather J. Cordell's profile →
Citations per field
00.5×5.2×
Heather J. Cordell · 1×
Citations per year

Countries citing papers authored by Yi–Ju Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi–Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi–Ju Chen, 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 Yi–Ju Chen Line = papers co-authored together Yi–Ju Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 247 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association Between Nucleoside Analogues and Risk of Hepatitis B Virus–Related Hepatocellular Carcinoma Recurrence Following Liver Resection
Hit paper breakdown →
2012717
2 2009234
3 1999233
4 2011198
5 2006168
6 2010164
7 2010157
8 2008152
9
CAR-T: What Is Next?
Hit paper breakdown →
2023150
10 2018149
11 2015149
12 2001145
13 2011133
14 2010127
15 2008115
16 2010111
17 2009111
18 2006110
19 2005108
20 2009102

About Yi–Ju Chen

Yi–Ju Chen is a scholar working on Molecular Biology, Dermatology, Immunology, Epidemiology and Oncology, having authored 247 papers that have together received 7.9k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (21 papers), Psoriasis: Treatment and Pathogenesis (18 papers), Allergic Rhinitis and Sensitization (7 papers), Acne and Rosacea Treatments and Effects (7 papers), Cell death mechanisms and regulation (7 papers), Autophagy in Disease and Therapy (6 papers), Cancer-related Molecular Pathways (6 papers) and Autoimmune Bullous Skin Diseases (6 papers). The work is most often cited by research in Dermatology (906 citations), Rheumatology (758 citations), Urology (283 citations), Immunology (1.0k citations) and Hepatology (353 citations). Yi–Ju Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chun‐Ying Wu, Ming‐Shiang Wu, Ken N. Kuo, Jaw‐Town Lin, Hsiu J. Ho, Yao‐Chun Hsu, Yun-Ting Chang, Jui‐Lung Shen, Chang‐Bi Wang and Shu Ching Yang. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of Dermatological Science, British Journal of Dermatology, Scientific Reports and Acta Dermato Venereologica.

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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