Rong-Hsing Chen

772 citations
20 papers · 640 · h-index 12

Impact in

Papers in

Rong-Hsing Chen

20 papers receiving 620 citations

Peers

Rong-Hsing Chen
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 178
  • Genetics 257
  • Pathology and Forensic Medicine 99
  • Nephrology 18
  • Ophthalmology 15
Replace Maria Antonella Burza with:
Maria Antonella Burza Sweden
K.-H. Usadel Germany
Hiroko Uesugi Japan
Maria Aleksandra Kalina Poland
Tomoka Fukutani Japan
Jin Bo Feng China
Aaron Chapla India
Londa Hathaway United States
Antonella Marucci Italy
Chenling Fan China
Rong-Hsing Chen relative to Maria Antonella Burza Sweden Maria Antonella Burza's profile →
Citations per field
00.5×2×3×4×5×
Maria Antonella Burza · 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

20 of 20 papers shown
#Work
1 2010293
2 200645
3 201041
4 201940
5 200627
6 201026
7 200524
8 200922
9 201020
10 200518
11 201416
12 200815
13 200711
14 200711
15 201011
16 20155
17 20054
18 20064
19 20254
20 20043

About Rong-Hsing Chen

Rong-Hsing Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Genetics, Complementary and alternative medicine and Rheumatology, having authored 20 papers that have together received 640 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Genetic Associations and Epidemiology (6 papers), Ophthalmology and Eye Disorders (4 papers), Vitamin D Research Studies (2 papers), Traditional Chinese Medicine Studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (178 citations), Genetics (257 citations), Pathology and Forensic Medicine (99 citations), Nephrology (18 citations) and Ophthalmology (15 citations). Rong-Hsing Chen has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Fuu‐Jen Tsai, Chwen‐Tzuei Chang, Chang‐Hai Tsai, Tzu-Yuan Wang, Ching‐Chu Chen, Lei Wan, Yi-Min Liu, Jer-Yuarn Wu, Chien-Hsiun Chen and Lee‐Ming Chuang. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Ophthalmology, Science Advances, PLoS Genetics and Evidence-based Complementary and Alternative Medicine.

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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