Peter E. Linz

742 citations
11 papers · 461 · h-index 6

Impact in

Papers in

Peter E. Linz

11 papers receiving 441 citations

Peers

Peter E. Linz
Comparison fields: 5 of 67
  • Virology 53
  • Cardiology and Cardiovascular Medicine 179
  • Endocrinology, Diabetes and Metabolism 96
  • Surgery 203
  • Neurology 30
Replace Ronni R. Plovsing with:
Ronni R. Plovsing Denmark
Pramod Theetha Kariyanna United States
Laura R. La Bonte United States
Paola Mancino Italy
Nary Veal France
Tokinari Abe Japan
Vernat Exil United States
Renaud de la Faille France
Samuel Orden Spain
Marc E. Gomes Netherlands
Peter E. Linz relative to Ronni R. Plovsing Denmark Ronni R. Plovsing's profile →
Citations per field
00.5×3.8×
Ronni R. Plovsing · 1×
Citations per year

Countries citing papers authored by Peter E. Linz

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Linz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004129
2 2014120
3 201298
4 200773
5 201319
6 20089
7 19935
8 20134
9
Abstract 19724: Hypertriglyceridemia and Low HDL-C Predicts Fenofibrate Response in The ACCORD-Lipid Trial
20102
10 20201
11 20051

About Peter E. Linz

Peter E. Linz is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 461 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Pericarditis and Cardiac Tamponade (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (1 paper), Global Health and Surgery (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Virology (53 citations), Cardiology and Cardiovascular Medicine (179 citations), Endocrinology, Diabetes and Metabolism (96 citations), Surgery (203 citations) and Neurology (30 citations). Peter E. Linz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include J. Edwin Atwood, Marina Vernalis, Dimitri C. Cassimatis, John D. Grabenstein, Laura Lovato, Henry N. Ginsberg, John B. Gordon, Marshall B. Elam, Vera Trofimenko and Lori B. Daniels. Their work appears in journals such as Circulation, Contemporary Clinical Trials, The Annals of Thoracic Surgery, Diabetes Care and Journal of the American College 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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