Andrej Savol
- Immunology top 10%
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- Protein Structure and Dynamics 7
- Epigenetics and DNA Methylation 3
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 3
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- Mass Spectrometry Techniques and Applications 4
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- Cancer Genomics and Diagnostics 3
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- Force Microscopy Techniques and Applications 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Chakra S. ChennubhotlaArvind RamanathanRuslan I. SadreyevPratul K. AgarwalMatthias NahrendorfJason D. RohSean P. ArlauckasKatherine A. Fitzgerald
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Andrej Savol
16 papers receiving 825 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 270
- Molecular Biology 635
- Cardiology and Cardiovascular Medicine 127
- Neurology 25
- Infectious Diseases 56
Countries citing papers authored by Andrej Savol
This map shows the geographic impact of Andrej Savol'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 Andrej Savol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Savol more than expected).
Fields of papers citing papers by Andrej Savol
This network shows the impact of papers produced by Andrej Savol. 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 Andrej Savol. The network helps show where Andrej Savol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrej Savol, 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 | 2023 | 8 | |
| 4 | 2017 | 46 | |
| 5 | 2017 | 6 | |
| 6 | IRF3 and type I interferons fuel a fatal response to myocardial infarctionbreakdown → | 2017 | 412 |
| 7 | 2017 | 108 | |
| 8 | 2016 | 32 | |
| 9 | 2015 | 1 | |
| 10 | 2014 | 6 | |
| 11 | Statistical Inference for Big Data Problems in Molecular Biophysics | 2013 | 1 |
| 12 | 2013 | 27 | |
| 13 | 2013 | 83 | |
| 14 | 2012 | 28 | |
| 15 | 2011 | 5 | |
| 16 | 2011 | 50 | |
| 17 | 2011 | 16 | |
| 18 | 2011 | 8 |
About Andrej Savol
Andrej Savol is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Computational Theory and Mathematics and Neurology, having authored 18 papers that have together received 837 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Mass Spectrometry Techniques and Applications (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Force Microscopy Techniques and Applications (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Immunology (270 citations), Molecular Biology (635 citations), Cardiology and Cardiovascular Medicine (127 citations), Neurology (25 citations) and Infectious Diseases (56 citations). Andrej Savol has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Chakra S. Chennubhotla, Arvind Ramanathan, Ruslan I. Sadreyev, Pratul K. Agarwal, Matthias Nahrendorf, Jason D. Roh, Sean P. Arlauckas, Katherine A. Fitzgerald, Aaron D. Aguirre and Kevin R. King. Their work appears in journals such as PLoS ONE, Nature Medicine, Clinical Cancer Research, Proteins Structure Function and Bioinformatics and Bioinformatics.
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.