Pai‐Feng Hsu

2.8k citations
63 papers · 1.9k indexed · 1 hit paper · h-index 25
Topics
Blood Pressure and Hypertension Studies (8 papers)Heart Failure Treatment and Management (7 papers)Cardiovascular Health and Disease Prevention (7 papers)

In The Last Decade

Pai‐Feng Hsu

59 papers receiving 1.9k citations

Hit Papers

Systemic immune‐inflammation index (SII) predicted clinic...20202026202220242020100200300400

Peers

Pai‐Feng Hsu
Comparison fields: 5 of 127
  • Cardiology and Cardiovascular Medicine 744
  • Endocrinology, Diabetes and Metabolism 344
  • Oncology 329
  • Epidemiology 306
  • Surgery 261
Replace Bernhard Wernly with:
Bernhard Wernly Austria
Morten Schou Denmark
Luis Afonso United States
Craig Newcomb United States
Hemant Phatak United States
Sean Murphy United States
Yu‐Sheng Lin Taiwan
W. Gregory Hundley United States
Francisco J. Chorro Spain
Mark de Groot Netherlands
Pai‐Feng Hsu relative to Bernhard Wernly Austria Bernhard Wernly's profile →
Citations per field
00.5×4.8×
Bernhard Wernly · 1×
Citations per year

Countries citing papers authored by Pai‐Feng Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Pai‐Feng Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pai‐Feng Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Pai‐Feng Hsu. A scholar is included among the top collaborators of Pai‐Feng Hsu 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 Pai‐Feng Hsu. Pai‐Feng Hsu 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
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4 6
5
Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery diseasebreakdown →
455
6 35
7 4
8 8
9 38
10 20
11 18
12 32
13 23
14 6
15 35
16 31
17 29
18 32
19 43
20 2

About Pai‐Feng Hsu

Pai‐Feng Hsu is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Geriatrics and Gerontology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Heart Failure Treatment and Management (7 papers) and Cardiovascular Health and Disease Prevention (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (744 citations), Internal Medicine (90 citations) and Endocrinology, Diabetes and Metabolism (344 citations). Pai‐Feng Hsu has collaborated with scholars based in Taiwan, United States and Brazil. Frequent co-authors include Shih‐Hsien Sung, Shao‐Yuan Chuang, Hao‐Min Cheng, Shih‐Yuan Chen, Chen‐Huan Chen, Chao‐Yu Guo, Wen‐Chung Yu, Hao‐Min Cheng, Yu‐Lun Cheng and Hsin‐Bang Leu. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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