Fone‐Ching Hsiao

1.0k citations
42 papers · 852 · h-index 18

Impact in

Papers in

Fone‐Ching Hsiao

41 papers receiving 837 citations

Peers

Fone‐Ching Hsiao
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 190
  • Clinical Biochemistry 53
  • Nephrology 48
  • Immunology 122
  • Physiology 144
Replace Zhen Sun with:
Zhen Sun China
Hye Kyoung Song South Korea
Jun‐Sing Wang Taiwan
László Bajnok Hungary
Samy Hadjadj France
Laura A. Villalobos Spain
Ana Ninić Serbia
Keita Hiragushi Japan
Yuelan Ren United States
Motofumi Sasaki Japan
Fone‐Ching Hsiao relative to Zhen Sun China Zhen Sun's profile →
Citations per field
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Zhen Sun · 1×
Citations per year

Countries citing papers authored by Fone‐Ching Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Fone‐Ching Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 201696
3 201352
4 201045
5 201444
6 201341
7 201441
8 201231
9 201130
10 201329
11 201126
12 201223
13 201521
14 201421
15 201519
16 200918
17 201417
18 201517
19 200916
20 201114

About Fone‐Ching Hsiao

Fone‐Ching Hsiao is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Surgery and Molecular Biology, having authored 42 papers that have together received 852 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Thyroid Disorders and Treatments (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Retinoids in leukemia and cellular processes (3 papers), Diabetes Treatment and Management (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (190 citations), Clinical Biochemistry (53 citations), Nephrology (48 citations), Immunology (122 citations) and Physiology (144 citations). Fone‐Ching Hsiao has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Yi‐Jen Hung, Chang‐Hsun Hsieh, Dee Pei, Yi-Jen Hung, Chang‐Hsun Hsieh, Chien-Hsing Lee, Chung‐Ze Wu, Hao‐Ming Chang, Pei‐Chi Chan and Martin Wabitsch. Their work appears in journals such as Diabetes Research and Clinical Practice, Acta Diabetologica, Metabolism, General Hospital Psychiatry and The FASEB Journal.

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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