Ching-Chu Chen

1.5k citations
29 papers · 1.1k indexed · h-index 17
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Diabetes Management and Research (7 papers)Diabetes Treatment and Management (5 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Ching-Chu Chen

29 papers receiving 1.1k citations

Peers

Ching-Chu Chen
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 415
  • Molecular Biology 328
  • Epidemiology 255
  • Genetics 243
  • Physiology 161
Replace Jacek Sieradzki with:
Jacek Sieradzki Poland
Barbara Cresci Italy
Jun‐Sing Wang Taiwan
Wenjia Yang China
Amin Jayyousi Qatar
P. Fumelli Italy
Monica Vedovato Italy
Fırat Bayraktar Türkiye
Emily Brown United Kingdom
Müjde Aktürk Türkiye
Ching-Chu Chen relative to Jacek Sieradzki Poland Jacek Sieradzki's profile →
Citations per field
00.5×1.5×2.3×
Jacek Sieradzki · 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-authorship network of co-authors of Ching-Chu Chen

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 19
3 5
4 17
5 12
6 11
7 65
8 27
9 10
10 48
11 106
12 6
13 243
14 29
15 21
16 24
17 11
18 67
19 62
20 3

About Ching-Chu Chen

Ching-Chu Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Nephrology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Management and Research (7 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (415 citations), Orthopedics and Sports Medicine (108 citations) and Ophthalmology (100 citations). Ching-Chu Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Cheng‐Chieh Lin, Tsai‐Chung Li, Chiu-Shong Liu, Chia-Ing Li, Wen‐Yuan Lin, Fuu‐Jen Tsai, Sing-Yu Yang, Tzu-Yuan Wang, Rong-Hsing Chen and Chwen-Tzuei Chang. Their work appears in journals such as PLoS ONE, Scientific Reports and The American Journal of 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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