Nóra Varga
Impact in
Papers in
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
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- Algebraic Geometry and Number Theory 5
- Co-authors
- Ágota Apáti (13 shared papers)Balázs Sarkadi (7 shared papers)Martin János Mayer (1 shared paper)Tamás I. Orbán (8 shared papers)László Homolya (5 shared papers)György Várady (6 shared papers)Katalin Német (3 shared papers)Zsuzsa Erdei (7 shared papers)
- Journals
- Gene (2 papers)Cytometry Part B Clinical Cytometry (2 papers)Journal of Number Theory (2 papers)Stem Cell Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Nóra Varga
21 papers receiving 283 citations
Peers
Comparison fields: 5 of 78
- Developmental Neuroscience 13
- Algebra and Number Theory 13
- Oncology 66
- Molecular Biology 158
- Geometry and Topology 19
Countries citing papers authored by Nóra Varga
This map shows the geographic impact of Nóra Varga'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 Nóra Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nóra Varga more than expected).
Fields of papers citing papers by Nóra Varga
This network shows the impact of papers produced by Nóra Varga. 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 Nóra Varga. The network helps show where Nóra Varga may publish in the future.
Co-authors
The 25 scholars most cited alongside Nóra Varga, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 72 | |
| 2 | 2009 | 50 | |
| 3 | 2021 | 30 | |
| 4 | 2014 | 22 | |
| 5 | 2011 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2014 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2016 | 8 | |
| 10 | 2013 | 7 | |
| 11 | 2011 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Nóra Varga
Nóra Varga is a scholar working on Molecular Biology, Geometry and Topology, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers), Algebraic Geometry and Number Theory (5 papers), Analytic Number Theory Research (4 papers), RNA Interference and Gene Delivery (3 papers), Mathematical Dynamics and Fractals (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Advanced Mathematical Identities (2 papers). The work is most often cited by research in Developmental Neuroscience (13 citations), Algebra and Number Theory (13 citations), Oncology (66 citations), Molecular Biology (158 citations) and Geometry and Topology (19 citations). Nóra Varga has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Ágota Apáti, Balázs Sarkadi, Martin János Mayer, Tamás I. Orbán, László Homolya, György Várady, Katalin Német, Zsuzsa Erdei, Anita Schamberger and Andrea H. Németh. Their work appears in journals such as Gene, Cytometry Part B Clinical Cytometry, Journal of Number Theory, Stem Cell Research and Biochemical and Biophysical Research Communications.
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.