Péter Nagy
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Aging top 5%
Papers in
- Epidemiology 16
- Autophagy in Disease and Therapy 16
- Co-authors
- Gábor Juhász (17 shared papers)Krisztina Hegedűs (10 shared papers)Ágnes Varga (9 shared papers)Karolina Pircs (8 shared papers)Szabolcs Takáts (6 shared papers)Tibor Kovács (5 shared papers)Caroline Mauvezin (1 shared paper)Thomas P. Neufeld (1 shared paper)
- Journals
- Scientific Reports (2 papers)Autophagy (2 papers)Cell Reports (2 papers)Molecular Biology of the Cell (2 papers)BioMed Research International (2 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Péter Nagy
33 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Physiology 281
- Aging 88
- Cell Biology 640
- Epidemiology 1.2k
- Parasitology 89
Countries citing papers authored by Péter Nagy
This map shows the geographic impact of Péter 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 Péter Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Nagy more than expected).
Fields of papers citing papers by Péter Nagy
This network shows the impact of papers produced by Péter 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 Péter Nagy. The network helps show where Péter Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 313 | |
| 2 | 2013 | 267 | |
| 3 | 2014 | 202 | |
| 4 | 2016 | 155 | |
| 5 | 2012 | 146 | |
| 6 | 2014 | 83 | |
| 7 | 2013 | 80 | |
| 8 | 2013 | 77 | |
| 9 | 2014 | 66 | |
| 10 | 2014 | 62 | |
| 11 | 2013 | 51 | |
| 12 | 2018 | 50 | |
| 13 | 2012 | 49 | |
| 14 | 2022 | 46 | |
| 15 | 2022 | 43 | |
| 16 | 2002 | 42 | |
| 17 | 2019 | 40 | |
| 18 | 2013 | 38 | |
| 19 | 2016 | 36 | |
| 20 | 2014 | 34 |
About Péter Nagy
Péter Nagy is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Immunology and Oncology, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (16 papers), Invertebrate Immune Response Mechanisms (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lysosomal Storage Disorders Research (4 papers), Cellular transport and secretion (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Mosquito-borne diseases and control (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Physiology (281 citations), Aging (88 citations), Cell Biology (640 citations), Epidemiology (1.2k citations) and Parasitology (89 citations). Péter Nagy has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Gábor Juhász, Krisztina Hegedűs, Ágnes Varga, Karolina Pircs, Szabolcs Takáts, Tibor Kovács, Caroline Mauvezin, Thomas P. Neufeld, Kata Varga and Manuéla Kárpáti. Their work appears in journals such as Scientific Reports, Autophagy, Cell Reports, Molecular Biology of the Cell and BioMed Research International.
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.