Csaba Váradi
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Glycosylation and Glycoproteins Research 18
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- András Guttman (2 shared papers)Jonathan Bones (4 shared papers)Béla Viskolcz (11 shared papers)Stefan Mittermayr (4 shared papers)András Guttman (4 shared papers)Silvia Millán‐Martín (2 shared papers)Károly Nehéz (1 shared paper)László Vanyorek (7 shared papers)
- Journals
- International Journal of Molecular Sciences (9 papers)Electrophoresis (3 papers)Analytical Chemistry (1 paper)Nanomaterials (1 paper)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- HungaryIrelandUnited States
In The Last Decade
Csaba Váradi
22 papers receiving 493 citations
Peers
Comparison fields: 5 of 88
- Neurology 84
- Radiology, Nuclear Medicine and Imaging 90
- Molecular Biology 271
- Spectroscopy 62
- Organic Chemistry 85
Countries citing papers authored by Csaba Váradi
This map shows the geographic impact of Csaba Váradi'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 Csaba Váradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Váradi more than expected).
Fields of papers citing papers by Csaba Váradi
This network shows the impact of papers produced by Csaba Váradi. 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 Csaba Váradi. The network helps show where Csaba Váradi may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Váradi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 126 | |
| 2 | 2014 | 99 | |
| 3 | 2019 | 43 | |
| 4 | 2016 | 34 | |
| 5 | 2013 | 29 | |
| 6 | 2022 | 26 | |
| 7 | 2012 | 23 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 17 | |
| 10 | 2015 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2023 | 10 | |
| 14 | 2015 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 2 |
About Csaba Váradi
Csaba Váradi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Immunology and Materials Chemistry, having authored 25 papers that have together received 499 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Galectins and Cancer Biology (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Lung Cancer Research Studies (2 papers) and Iron oxide chemistry and applications (2 papers). The work is most often cited by research in Neurology (84 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Molecular Biology (271 citations), Spectroscopy (62 citations) and Organic Chemistry (85 citations). Csaba Váradi has collaborated with scholars based in Hungary, Ireland and United States. Frequent co-authors include András Guttman, Jonathan Bones, Béla Viskolcz, Stefan Mittermayr, András Guttman, Silvia Millán‐Martín, Károly Nehéz, László Vanyorek, Craig Jakes and Ákos Szekrényes. Their work appears in journals such as International Journal of Molecular Sciences, Electrophoresis, Analytical Chemistry, Nanomaterials and Analytical and Bioanalytical Chemistry.
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.