Chia‐Po Fu

4.3k citations
29 papers · 473 · h-index 13

Impact in

Papers in

Chia‐Po Fu

29 papers receiving 466 citations

Peers

Chia‐Po Fu
Comparison fields: 5 of 64
  • Ophthalmology 57
  • Cardiology and Cardiovascular Medicine 108
  • Clinical Biochemistry 29
  • Endocrinology, Diabetes and Metabolism 65
  • Nephrology 26
Replace Yoon Hi Cho with:
Yoon Hi Cho Australia
Aleksandra Uruska Poland
Kerstin Bettermann United States
Hetal Shah United States
Melissa J. Romero‐Aleshire United States
H. Sasaki Japan
Soon H Song United Kingdom
Giuseppe Bellini Italy
Domenico Merante United States
C. Verdonk United States
Chia‐Po Fu relative to Yoon Hi Cho Australia Yoon Hi Cho's profile →
Citations per field
00.5×1.7×
Yoon Hi Cho · 1×
Citations per year

Countries citing papers authored by Chia‐Po Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Po Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Po 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 Chia‐Po Fu. The network helps show where Chia‐Po Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201371
2 201136
3 201932
4 201332
5 201530
6 201627
7 201225
8 201121
9 201421
10 201816
11 201415
12 201713
13 201213
14 201412
15 201712
16 201712
17 201411
18 20219
19 20129
20 20179

About Chia‐Po Fu

Chia‐Po Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Nephrology and Epidemiology, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Cardiovascular Disease and Adiposity (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes Treatment and Management (2 papers), Pain Mechanisms and Treatments (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Ophthalmology (57 citations), Cardiology and Cardiovascular Medicine (108 citations), Clinical Biochemistry (29 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Nephrology (26 citations). Chia‐Po Fu has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Wayne Huey‐Herng Sheu, I‐Te Lee, Shih‐Yi Lin, Wen‐Jane Lee, Kae‐Woei Liang, Jun‐Sing Wang, Chih-Tai Ting, Wen-Lieng Lee, James P. DeLany and Erin E. Kershaw. Their work appears in journals such as Clinica Chimica Acta, Medicine, PLoS ONE, Clinical Chemistry and Laboratory Medicine (CCLM) and Diabetology & Metabolic Syndrome.

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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