Chen-Chung Fu

423 citations
21 papers · 352 · h-index 9

Impact in

Papers in

Chen-Chung Fu

20 papers receiving 333 citations

Peers

Chen-Chung Fu
Comparison fields: 5 of 66
  • Ophthalmology 103
  • Endocrinology, Diabetes and Metabolism 119
  • Nephrology 43
  • Radiology, Nuclear Medicine and Imaging 98
  • Neuropsychology and Physiological Psychology 5
Replace H. Overmann with:
H. Overmann Germany
Eirini Kostopoulou Greece
Shweta Mital Canada
Shehla Baqai Pakistan
Fauzia Mohsin Bangladesh
Bedowra Zabeen Bangladesh
Elham Sadeghi Iran
Juergen Muser Switzerland
Clicerio González Villalpando Mexico
Søren Friborg Denmark
Chen-Chung Fu relative to H. Overmann Germany H. Overmann's profile →
Citations per field
00.5×2.5×
H. Overmann · 1×
Citations per year

Countries citing papers authored by Chen-Chung Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Chung Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199285
2
Association between depressive symptoms and twelve-year mortality among elderly in a rural community in Taiwan.
200351
3 200946
4 199538
5 199429
6 199328
7 200825
8 201215
9 201210
10 20075
11 19944
12 20043
13 20043
14 20052
15 20062
16 20071
17 20061
18 20021
19 20051
20 20051

About Chen-Chung Fu

Chen-Chung Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Ophthalmology, having authored 21 papers that have together received 352 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Education (3 papers), Diabetes and associated disorders (3 papers), Retinal Imaging and Analysis (3 papers), Retinal Diseases and Treatments (3 papers), Health and Lifestyle Studies (2 papers), Diabetes Management and Research (2 papers) and Trauma and Emergency Care Studies (2 papers). The work is most often cited by research in Ophthalmology (103 citations), Endocrinology, Diabetes and Metabolism (119 citations), Nephrology (43 citations), Radiology, Nuclear Medicine and Imaging (98 citations) and Neuropsychology and Physiological Psychology (5 citations). Chen-Chung Fu has collaborated with scholars based in Taiwan. Frequent co-authors include Tong‐Yuan Tai, Jong‐Dar Chen, Muh‐Shy Chen, Ta-Jen Wu, Yin‐Ming Li, Chien‐Jen Chen, Chih‐Jen Chang, Chien‐Jen Chen, Tso‐Tsai Liu and Liyu Wang. Their work appears in journals such as International Journal of Epidemiology, Diabetes Research and Clinical Practice, Diabetes Care, American Journal of Ophthalmology and Journal of Diabetes and its Complications.

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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