Rong-Hsing Chen

612 citations
14 papers · 448 · h-index 10

Impact in

Papers in

Rong-Hsing Chen

14 papers receiving 440 citations

Peers

Rong-Hsing Chen
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 101
  • Genetics 152
  • Pathology and Forensic Medicine 61
  • Molecular Biology 151
  • Cancer Research 20
Replace Danfeng Peng with:
Danfeng Peng China
Kai Hu Germany
Toshihide Shike Japan
Krzysztof Wanic Poland
Tzu-Yuan Wang Taiwan
Hisayo Fujita Japan
K.-H. Usadel Germany
Jackleen Marji United States
Guðmundur I. Eyjólfsson Iceland
Kuan-Lih Hsu Taiwan
Rong-Hsing Chen relative to Danfeng Peng China Danfeng Peng's profile →
Citations per field
00.5×1.5×2.3×
Danfeng Peng · 1×
Citations per year

Countries citing papers authored by Rong-Hsing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Rong-Hsing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010246
2 200644
3 201023
4 200622
5 200921
6 201019
7 200518
8 201417
9 200711
10 201011
11 20155
12 20054
13 20064
14 20043

About Rong-Hsing Chen

Rong-Hsing Chen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Pathology and Forensic Medicine, having authored 14 papers that have together received 448 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Diabetes and associated disorders (2 papers), Vitamin C and Antioxidants Research (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Retinal Diseases and Treatments (1 paper), Epigenetics and DNA Methylation (1 paper), DNA Repair Mechanisms (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (101 citations), Genetics (152 citations), Pathology and Forensic Medicine (61 citations), Molecular Biology (151 citations) and Cancer Research (20 citations). Rong-Hsing Chen has collaborated with scholars based in Taiwan, Germany and Japan. Frequent co-authors include Fuu‐Jen Tsai, Chwen-Tzuei Chang, Ching-Chu Chen, Tzu-Yuan Wang, Lei Wan, Jer-Yuarn Wu, Chang‐Hai Tsai, Yi-Min Liu, Cathy S.J. Fann and Chien‐Hsiun Chen. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Ophthalmology, Evidence-based Complementary and Alternative Medicine, BMC Complementary and Alternative Medicine and Urologic Oncology Seminars and Original Investigations.

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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