Ágnes Varga
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Aging top 5%
Papers in
- Epidemiology 14
- Autophagy in Disease and Therapy 13
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- Cellular transport and secretion 7
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Gábor Juhász (14 shared papers)Péter Nagy (9 shared papers)Karolina Pircs (9 shared papers)Krisztina Hegedűs (7 shared papers)Szabolcs Takáts (7 shared papers)Tibor Kovács (3 shared papers)Manuéla Kárpáti (3 shared papers)Kata Varga (2 shared papers)
- Journals
- Autophagy (3 papers)eLife (2 papers)BMC Cell Biology (1 paper)The Journal of Cell Biology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Ágnes Varga
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Physiology 189
- Aging 55
- Cell Biology 499
- Epidemiology 790
- Parasitology 57
Countries citing papers authored by Ágnes Varga
This map shows the geographic impact of Ágnes 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 Ágnes Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Varga more than expected).
Fields of papers citing papers by Ágnes Varga
This network shows the impact of papers produced by Ágnes 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 Ágnes Varga. The network helps show where Ágnes Varga may publish in the future.
Co-authors
The 25 scholars most cited alongside Ágnes 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 273 | |
| 2 | 2014 | 206 | |
| 3 | 2012 | 146 | |
| 4 | 2014 | 84 | |
| 5 | 2013 | 81 | |
| 6 | 2014 | 65 | |
| 7 | 2016 | 53 | |
| 8 | 2013 | 53 | |
| 9 | 2012 | 49 | |
| 10 | 2013 | 39 | |
| 11 | 2019 | 22 | |
| 12 | 2020 | 20 | |
| 13 | 2015 | 11 | |
| 14 | 2020 | 8 | |
| 15 | Gondolatok a vidékfejlesztésről – alrendszerek találkozása, társadalmi tanulás és innováció | 2014 | 1 |
| 16 | 2021 | 1 |
About Ágnes Varga
Ágnes Varga is a scholar working on Epidemiology, Cell Biology, Physiology, Molecular Biology and Immunology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Cellular transport and secretion (7 papers), Lysosomal Storage Disorders Research (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Hermeneutics and Narrative Identity (1 paper), Polyamine Metabolism and Applications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Physiology (189 citations), Aging (55 citations), Cell Biology (499 citations), Epidemiology (790 citations) and Parasitology (57 citations). Ágnes Varga has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Gábor Juhász, Péter Nagy, Karolina Pircs, Krisztina Hegedűs, Szabolcs Takáts, Tibor Kovács, Manuéla Kárpáti, Kata Varga, Balázs Érdi and Miklós Sass. Their work appears in journals such as Autophagy, eLife, BMC Cell Biology, The Journal of Cell Biology and PLoS Genetics.
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.