Vanja Nagy
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- NF-κB Signaling Pathways
Papers in
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- S100 Proteins and Annexins 3
- Ubiquitin and proteasome pathways 2
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- Neuropeptides and Animal Physiology 4
- Axon Guidance and Neuronal Signaling 3
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Ankur Gupta (2 shared papers)Bryen A. Jordan (2 shared papers)Lakshmi A. Devi (2 shared papers)Nino Trapaidze (2 shared papers)Ivone Gomes (2 shared papers)George W. Huntley (4 shared papers)Ozlem Bozdagi (3 shared papers)Suzana Petanceska (2 shared papers)
- Journals
- Journal of Neuroscience (2 papers)Trends in Molecular Medicine (2 papers)Nature Communications (1 paper)Neurology (1 paper)Cell Reports (1 paper)
- Partner nations
- AustriaUnited StatesAustralia
In The Last Decade
Vanja Nagy
23 papers receiving 2.7k citations
Vanja Nagy's Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.0k
- Cancer Research 462
- Molecular Biology 1.6k
- Developmental Neuroscience 82
- Behavioral Neuroscience 60
Countries citing papers authored by Vanja Nagy
This map shows the geographic impact of Vanja Nagy'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 Vanja Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanja Nagy more than expected).
Fields of papers citing papers by Vanja Nagy
This network shows the impact of papers produced by Vanja Nagy. 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 Vanja Nagy. The network helps show where Vanja Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanja Nagy, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SHARPIN forms a linear ubiquitin ligase complex regulating NF-κB activity and apoptosis Hit paper breakdown → | 2011 | 585 |
| 2 | 2006 | 419 | |
| 3 | 2000 | 386 | |
| 4 | 2000 | 347 | |
| 5 | 2000 | 188 | |
| 6 | 2007 | 156 | |
| 7 | 2015 | 133 | |
| 8 | 2000 | 97 | |
| 9 | 2007 | 86 | |
| 10 | 2009 | 75 | |
| 11 | 2007 | 58 | |
| 12 | 2021 | 52 | |
| 13 | 2019 | 40 | |
| 14 | 2015 | 33 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 5 |
About Vanja Nagy
Vanja Nagy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Genetics and Endocrine and Autonomic Systems, having authored 23 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), S100 Proteins and Annexins (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Pain Mechanisms and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Menopause: Health Impacts and Treatments (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cancer Research (462 citations), Molecular Biology (1.6k citations), Developmental Neuroscience (82 citations) and Behavioral Neuroscience (60 citations). Vanja Nagy has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Ankur Gupta, Bryen A. Jordan, Lakshmi A. Devi, Nino Trapaidze, Ivone Gomes, George W. Huntley, Ozlem Bozdagi, Suzana Petanceska, Sam Gandy and Josef Penninger. Their work appears in journals such as Journal of Neuroscience, Trends in Molecular Medicine, Nature Communications, Neurology and Cell Reports.
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.