Attila Kovács
- Physiology top 0.5%
- Lysosomal Storage Disorders Research 26
- Calcium signaling and nucleotide metabolism 6
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- Cardiovascular Function and Risk Factors 10
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 7
- Peroxisome Proliferator-Activated Receptors 6
- Cell Biology top 2%
- Cellular transport and secretion 14
- Biochemistry top 2%
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- Neuroscience and Neuropharmacology Research 8
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- Cardiac Structural Anomalies and Repair 5
- Co-authors
- Jeffrey E. SaffitzDaniel P. KellyJohn J. LehmanDenis M. MedeirosDavid A. PearcePhilip M. BargerTeresa C. LeoneRicardo Garcı́a
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (4 papers)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Attila Kovács
60 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 2.2k
- Cardiology and Cardiovascular Medicine 1.5k
- Molecular Biology 3.0k
- Cell Biology 619
- Biochemistry 265
Countries citing papers authored by Attila Kovács
This map shows the geographic impact of Attila Kovács'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 Attila Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Kovács more than expected).
Fields of papers citing papers by Attila Kovács
This network shows the impact of papers produced by Attila Kovács. 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 Attila Kovács. The network helps show where Attila Kovács may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Attila Kovács, 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 | 2 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 18 | |
| 9 | 2019 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 5 | |
| 13 | 2014 | 47 | |
| 14 | 2009 | 23 | |
| 15 | 2008 | 261 | |
| 16 | 2007 | 50 | |
| 17 | 2006 | 29 | |
| 18 | 2004 | 73 | |
| 19 | The cardiac phenotype induced by PPARα overexpression mimics that caused by diabetes mellitusbreakdown → | 2002 | 663 |
| 20 | Peroxisome proliferator–activated receptor γ coactivator-1 promotes cardiac mitochondrial biogenesisbreakdown → | 2000 | 1058 |
About Attila Kovács
Attila Kovács is a scholar working on Physiology, Physiology and Cell Biology, having authored 62 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (26 papers), Cellular transport and secretion (14 papers), Cardiovascular Function and Risk Factors (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Mitochondrial Function and Pathology (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Calcium signaling and nucleotide metabolism (6 papers) and Cardiac Structural Anomalies and Repair (5 papers). The work is most often cited by research in Physiology (2.2k citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Molecular Biology (3.0k citations). Attila Kovács has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Jeffrey E. Saffitz, Daniel P. Kelly, John J. Lehman, Denis M. Medeiros, David A. Pearce, Philip M. Barger, Teresa C. Leone, Ricardo Garcı́a, Fong‐Fu Hsu and Jean E. Schaffer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.