Tamás Baranyai
- Molecular Biology top 10%
- Cancer Research top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Biomedical Engineering
- Co-authors
- Zoltán GiriczPéter FerdinandyEdit I. BuzásÁgnes KittelZoltán V. VargaKrisztina PálócziZsófia OnódiKároly Módos
- Topics
- Cardiac Ischemia and Reperfusion (8 papers)Extracellular vesicles in disease (4 papers)Cardiac Imaging and Diagnostics (4 papers)
In The Last Decade
Tamás Baranyai
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.2k
- Cancer Research 620
- Cardiology and Cardiovascular Medicine 239
- Pathology and Forensic Medicine 199
- Biomedical Engineering 189
Countries citing papers authored by Tamás Baranyai
This map shows the geographic impact of Tamás Baranyai'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 Tamás Baranyai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Baranyai more than expected).
Fields of papers citing papers by Tamás Baranyai
This network shows the impact of papers produced by Tamás Baranyai. 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 Tamás Baranyai. The network helps show where Tamás Baranyai may publish in the future.
Co-authorship network of co-authors of Tamás Baranyai
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Baranyai. A scholar is included among the top collaborators of Tamás Baranyai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamás Baranyai. Tamás Baranyai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 70 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 13 | |
| 12 | 34 | |
| 13 | 25 | |
| 14 | 23 | |
| 15 | 31 | |
| 16 | Low-density lipoprotein mimics blood plasma-derived exosomes and microvesicles during isolation and detectionbreakdown → | 414 |
| 17 | Isolation of Exosomes from Blood Plasma: Qualitative and Quantitative Comparison of Ultracentrifugation and Size Exclusion Chromatography Methodsbreakdown → | 541 |
| 18 | 58 | |
| 19 | 227 | |
| 20 | 2 |
About Tamás Baranyai
Tamás Baranyai is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (8 papers), Extracellular vesicles in disease (4 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (620 citations), Developmental Neuroscience (92 citations) and Molecular Biology (1.2k citations). Tamás Baranyai has collaborated with scholars based in Hungary, Germany and Austria. Frequent co-authors include Zoltán Giricz, Péter Ferdinandy, Edit I. Buzás, Ágnes Kittel, Zoltán V. Varga, Krisztina Pálóczi, Zsófia Onódi, Károly Módos, Vikas Kumar and Samir EL Andaloussi. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.