Fang‐Chi Hsu

12.7k citations
231 papers · 6.8k indexed · 1 hit paper · h-index 45

Impact in

Papers in

Fang‐Chi Hsu

219 papers receiving 6.7k citations

Hit Papers

Brachial Flow-Mediated Dilation Predicts Incident Cardiovascular Events in Older Adults 2007 · 723 citations
7232007202620132019200400600

Peers

Fang‐Chi Hsu
Comparison fields: 5 of 152
  • Geriatrics and Gerontology 652
  • Cardiology and Cardiovascular Medicine 1.6k
  • Physiology 1.6k
  • Developmental Neuroscience 177
  • Neurology 303
Replace F. Rengo with:
F. Rengo Italy
Gerard J. Blauw Netherlands
Brandon R. Grossardt United States
George E. Taffet United States
W.T. Longstreth United States
Howard Fillit United States
Michael Griswold United States
Annlia Paganini‐Hill United States
Jun Hata Japan
Rainer Rauramaa Finland
Fang‐Chi Hsu relative to F. Rengo Italy F. Rengo's profile →
Citations per field
00.5×3.3×
F. Rengo · 1×
Citations per year

Countries citing papers authored by Fang‐Chi Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Chi Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐Chi Hsu. 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 Fang‐Chi Hsu. The network helps show where Fang‐Chi Hsu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20241
5 20240
6 20231
7 20233
8 20234
9 20221
10 20222
11 202142
12 202060
13 201911
14 201811
15 201814
16 20159
17 201231
18 201014
19 200936
20 200879

About Fang‐Chi Hsu

Fang‐Chi Hsu is a scholar working on Geriatrics and Gerontology, Physiology, Cardiology and Cardiovascular Medicine, Genetics and Nephrology, having authored 231 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (39 papers), Nutrition and Health in Aging (17 papers), Prostate Cancer Treatment and Research (15 papers), Cardiovascular Function and Risk Factors (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Genetic and phenotypic traits in livestock (12 papers), Automotive and Human Injury Biomechanics (12 papers) and Frailty in Older Adults (12 papers). The work is most often cited by research in Geriatrics and Gerontology (652 citations), Cardiology and Cardiovascular Medicine (1.6k citations), Physiology (1.6k citations), Developmental Neuroscience (177 citations) and Neurology (303 citations). Fang‐Chi Hsu has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include David M. Herrington, Joseph Yeboah, Gregory L. Burke, John R. Crouse, J. Jeffrey Carr, Donald W. Bowden, Mike E. Robbins, Barry I. Freedman, Stephen B. Kritchevsky and Weiling Zhao. Their work appears in journals such as The Journals of Gerontology Series A, Genetic Epidemiology, Traffic Injury Prevention, The Prostate and PLoS ONE.

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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