Peter Liu

6.7k citations
76 papers · 4.8k indexed · 1 hit paper · h-index 30

Peter Liu

76 papers receiving 4.7k citations

Hit Papers

Inflammatory Cytokines and Postmyocardial Infarction Remo...8562004202620112018250500750

Peers

Peter Liu
Comparison fields: 5 of 132
  • Cardiology and Cardiovascular Medicine 1.8k
  • Genetics 442
  • Hepatology 272
  • Immunology 716
  • Epidemiology 933
Replace Frank Rose with:
Frank Rose Germany
J Bariéty France
Henri H. Versteeg Netherlands
Brian W. Grinnell United States
Kelly L. Hudkins United States
Yoshiaki Tomiyama Japan
Philipp von Hundelshausen Germany
M A Gimbrone United States
Susan S. Smyth United States
David H. Lovett United States
Peter Liu relative to Frank Rose Germany Frank Rose's profile →
Citations per field
00.5×4.0×
Frank Rose · 1×
Citations per year

Countries citing papers authored by Peter Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peter Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Liu. 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 Peter Liu. The network helps show where Peter Liu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202020
3 202029
4 202014
5 201843
6 20181
7 201732
8 201629
9 201498
10 200976
11 200739
12 20053
13 200418
14 200316
15 200227
16 200075
17
Use of hormone replacement therapy among cardiac patients at a Canadian academic centre.
19993
18 199813
19 199587
20 198994

About Peter Liu

Peter Liu is a scholar working on Cardiology and Cardiovascular Medicine, Hepatology and Epidemiology, having authored 76 papers that have together received 4.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Cardiac Structural Anomalies and Repair (5 papers), Heart Failure Treatment and Management (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Congenital Heart Disease Studies (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Genetics (442 citations) and Hepatology (272 citations). Peter Liu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Min Nian, Paul C. Lee, Neelam Khaper, Josef Penninger, Fayez Dawood, Samuel C. Siu, Wen-Hu Wen, Karen Aitken, Laurence M. Blendis and Florence Wong. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, Circulation Research, Clinical Science and The American Journal of Cardiology.

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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