Miklós Péterfy
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Biochemistry 13
- Lipid metabolism and biosynthesis 13
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- Lipid metabolism and disorders 14
- Co-authors
- Karen ReueJack PhanPing XuLaurent VergnesMartin O. BergöStephen G. YoungMark H. DoolittleHui Mao
- Journals
- Journal of Biological Chemistry (4 papers)Diabetes (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genomics (2 papers)Nature Genetics (2 papers)
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Miklós Péterfy
50 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 97
- Biochemistry 705
- Cell Biology 566
- Endocrinology, Diabetes and Metabolism 528
- Cardiology and Cardiovascular Medicine 673
- Physiology 553
Countries citing papers authored by Miklós Péterfy
This map shows the geographic impact of Miklós Péterfy'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 Miklós Péterfy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miklós Péterfy more than expected).
Fields of papers citing papers by Miklós Péterfy
This network shows the impact of papers produced by Miklós Péterfy. 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 Miklós Péterfy. The network helps show where Miklós Péterfy may publish in the future.
Co-authors
The 25 scholars most cited alongside Miklós Péterfy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 43 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 40 | |
| 6 | 2018 | 11 | |
| 7 | 2014 | 95 | |
| 8 | 2012 | 179 | |
| 9 | 2010 | 46 | |
| 10 | 2009 | 123 | |
| 11 | 2009 | 18 | |
| 12 | 2007 | 162 | |
| 13 | 2006 | 31 | |
| 14 | 2006 | 8 | |
| 15 | 2005 | 185 | |
| 16 | 2004 | 181 | |
| 17 | 1999 | 18 | |
| 18 | 1998 | 9 | |
| 19 | 1998 | 17 | |
| 20 | 1995 | 4 |
About Miklós Péterfy
Miklós Péterfy is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine, Cell Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (14 papers), Lipid metabolism and biosynthesis (13 papers), RNA Research and Splicing (10 papers), Diabetes and associated disorders (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Adipose Tissue and Metabolism (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Biochemistry (705 citations), Cell Biology (566 citations), Endocrinology, Diabetes and Metabolism (528 citations), Cardiology and Cardiovascular Medicine (673 citations) and Physiology (553 citations). Miklós Péterfy has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Karen Reue, Jack Phan, Ping Xu, Laurent Vergnes, Martin O. Bergö, Stephen G. Young, Mark H. Doolittle, Hui Mao, Nicole Ehrhardt and Aldons J. Lusis. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Proceedings of the National Academy of Sciences, Genomics and Nature Genetics.
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.