Peter Turkaly

641 citations
8 papers · 552 · h-index 8

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • Metabolomics and Mass Spectrometry Studies 2
    • ATP Synthase and ATPases Research 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Metabolism and Genetic Disorders 3

Peter Turkaly

8 papers receiving 540 citations

Peers

Peter Turkaly
Comparison fields: 5 of 81
  • Clinical Biochemistry 87
  • Aging 21
  • Pathology and Forensic Medicine 101
  • Physiology 137
  • Molecular Biology 365
Replace Alexander G. Komarov with:
Alexander G. Komarov United States
Vanna Géromel France
Angela Paggio Italy
Stephen J. McQuaker United Kingdom
Domenico Marzulli Italy
Mayis Aliev Russia
Keiko Hiraki-Kamon Japan
Masaki Nakatani Japan
Sharon W. Lin United States
Craig C. Freudenrich United States
Peter Turkaly relative to Alexander G. Komarov United States Alexander G. Komarov's profile →
Citations per field
00.5×10.5×
Alexander G. Komarov · 1×
Citations per year

Countries citing papers authored by Peter Turkaly

Since Specialization
Citations

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

Fields of papers citing papers by Peter Turkaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Peter Turkaly, 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 Turkaly Line = papers co-authored together Peter Turkaly links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2001133
2 2001124
3 200192
4 199864
5 199758
6 200131
7 200228
8 199922

About Peter Turkaly

Peter Turkaly is a scholar working on Molecular Biology, Clinical Biochemistry, Biophysics, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Metabolism and Genetic Disorders (3 papers), Electron Spin Resonance Studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), ATP Synthase and ATPases Research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Cardiovascular and exercise physiology (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Clinical Biochemistry (87 citations), Aging (21 citations), Pathology and Forensic Medicine (101 citations), Physiology (137 citations) and Molecular Biology (365 citations). Peter Turkaly has collaborated with scholars based in United States and Japan. Frequent co-authors include Charles L. Hoppel, János Kerner, Catharina T. Migita, Edward J. Lesnefsky, Tatyana I. Gudz, Paul E. Minkler, Bernard Tandler, Alexandru D. Asandei, Masao Ikeda‐Saito and Virgil Percec. Their work appears in journals such as Archives of Biochemistry and Biophysics, Macromolecules, Analytical Biochemistry, Journal of Molecular and Cellular Cardiology and FEBS Letters.

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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