Ching‐Chu Chen

2.7k citations
50 papers · 822 · h-index 16

Impact in

Papers in

Ching‐Chu Chen

47 papers receiving 804 citations

Peers

Ching‐Chu Chen
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 213
  • Nephrology 35
  • Reproductive Medicine 32
  • Physiology 95
  • Cardiology and Cardiovascular Medicine 73
Replace Derya Koçer with:
Derya Koçer Türkiye
Kara S. Hughan United States
Tanja Dujić Bosnia and Herzegovina
Luca Mascitelli Italy
Fritz Oberhollenzer Austria
J. de Jager Netherlands
Eliana Aguiar Petri Nahás Brazil
Nancy Solı́s Chile
Guillermo Cardoso‐Saldaña Mexico
Alison Nankervis Australia
Ching‐Chu Chen relative to Derya Koçer Türkiye Derya Koçer's profile →
Citations per field
00.5×1.5×2.0×
Derya Koçer · 1×
Citations per year

Countries citing papers authored by Ching‐Chu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 2011109
3 200861
4 201043
5 201129
6 202029
7 201828
8 200928
9 201628
10 201326
11 201325
12 201424
13 201719
14 200818
15 201817
16 202015
17 200815
18
Comparison of the metabolic effects of metformin and troglitazone on fructose-induced insulin resistance in male Sprague-Dawley rats.
200114
19 201914
20 202013

About Ching‐Chu Chen

Ching‐Chu Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 822 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes Management and Research (4 papers), Ovarian function and disorders (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (213 citations), Nephrology (35 citations), Reproductive Medicine (32 citations), Physiology (95 citations) and Cardiology and Cardiovascular Medicine (73 citations). Ching‐Chu Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chia‐Ing Li, Tsai‐Chung Li, Cheng‐Chieh Lin, Wen‐Yuan Lin, Chiu-Shong Liu, Ming‐Tsang Wu, Dennis P. H. Hsieh, Pei‐Chun Chen, Kuan‐Fu Liao and Shih‐Wei Lai. Their work appears in journals such as BMC Public Health, Annals of Translational Medicine, Medicine, Diabetes Research and Clinical Practice and Thyroid.

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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