Attila Szántó
- Immunology top 5%
- Cancer Research top 5%
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 12
- RNA modifications and cancer 6
- Retinoids in leukemia and cellular processes 5
- Biochemistry top 2%
- Biochemistry top 5%
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- Electric and Hybrid Vehicle Technologies 12
- Vehicle Dynamics and Control Systems 8
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- Cholesterol and Lipid Metabolism 9
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- Real-time simulation and control systems 7
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- László NagyBálint L. BálintLajos SzélesJeannie T. LeeIstván SzatmáriPeter J. DaviesJohn W. R. SchwabeBrian C. Del Rosario
- Journals
- Immunobiology (3 papers)Nature Structural & Molecular Biology (3 papers)Applied Sciences (3 papers)
- Partner nations
- HungaryUnited StatesAustralia
In The Last Decade
Attila Szántó
64 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 125
- Immunology 725
- Cancer Research 509
- Molecular Biology 2.0k
- Biochemistry 178
- Biochemistry 118
Countries citing papers authored by Attila Szántó
This map shows the geographic impact of Attila Szántó'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 Szántó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Szántó more than expected).
Fields of papers citing papers by Attila Szántó
This network shows the impact of papers produced by Attila Szántó. 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 Szántó. The network helps show where Attila Szántó may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Attila Szántó, 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 | 2024 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 5 | |
| 7 | 2019 | 46 | |
| 8 | 2017 | 20 | |
| 9 | 2015 | 136 | |
| 10 | 2015 | 36 | |
| 11 | 2013 | 37 | |
| 12 | 2013 | 256 | |
| 13 | 2012 | 38 | |
| 14 | 2011 | 13 | |
| 15 | 2011 | 34 | |
| 16 | 2010 | 6 | |
| 17 | 2009 | 66 | |
| 18 | 2008 | 123 | |
| 19 | 2008 | 373 | |
| 20 | 2004 | 231 |
About Attila Szántó
Attila Szántó is a scholar working on Automotive Engineering, Cancer Research and Molecular Biology, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Electric and Hybrid Vehicle Technologies (12 papers), Cholesterol and Lipid Metabolism (9 papers), Vehicle Dynamics and Control Systems (8 papers), Real-time simulation and control systems (7 papers), RNA modifications and cancer (6 papers), Retinoids in leukemia and cellular processes (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Immunology (725 citations), Cancer Research (509 citations) and Molecular Biology (2.0k citations). Attila Szántó has collaborated with scholars based in Hungary, United States and Australia. Frequent co-authors include László Nagy, Bálint L. Bálint, Lajos Széles, Jeannie T. Lee, István Szatmári, Peter J. Davies, John W. R. Schwabe, Brian C. Del Rosario, Yesu Jeon and Yuya Ogawa. Their work appears in journals such as Immunobiology, Nature Structural & Molecular Biology, Applied Sciences, Blood and Measurement.
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.