Péter Nagy
Impact in
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Lipid Membrane Structure and Behavior 22
- Glycosylation and Glycoproteins Research 14
- Advanced Biosensing Techniques and Applications 8
- Oncology 28
- HER2/EGFR in Cancer Research 21
- Co-authors
- János Szöllõsi (50 shared papers)Thomas M. Jovin (10 shared papers)György Vereb (19 shared papers)Donna J. Arndt‐Jovin (6 shared papers)Sándor Damjanovich (21 shared papers)Diane S. Lidke (5 shared papers)Jorma Isola (5 shared papers)Janine N. Post (4 shared papers)
- Journals
- Cytometry Part A (10 papers)Biophysical Journal (6 papers)International Journal of Molecular Sciences (4 papers)Scientific Reports (3 papers)Journal of Cell Science (3 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Péter Nagy
136 papers receiving 5.1k citations
Péter Nagy's Hit Papers
Peers
Comparison fields: 5 of 145
- Biophysics 700
- Radiology, Nuclear Medicine and Imaging 950
- Oncology 1.1k
- Molecular Biology 2.7k
- Structural Biology 57
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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum dot ligands provide new insights into erbB/HER receptor–mediated signal transduction Hit paper breakdown → | 2004 | 688 |
| 2 | 2005 | 417 | |
| 3 | 2003 | 417 | |
| 4 | 2007 | 183 | |
| 5 | 2015 | 169 | |
| 6 | 2002 | 160 | |
| 7 | 2010 | 136 | |
| 8 | 2003 | 134 | |
| 9 | 2007 | 123 | |
| 10 | 1999 | 115 | |
| 11 | 2007 | 105 | |
| 12 | 2015 | 100 | |
| 13 | 2018 | 95 | |
| 14 | 2002 | 92 | |
| 15 | 2015 | 91 | |
| 16 | 2003 | 85 | |
| 17 | 1998 | 77 | |
| 18 | 1989 | 76 | |
| 19 | 2002 | 65 | |
| 20 | 2000 | 64 |
About Péter Nagy
Péter Nagy is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Plant Science and Biophysics, having authored 139 papers that have together received 5.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Lipid Membrane Structure and Behavior (22 papers), HER2/EGFR in Cancer Research (21 papers), Advanced Fluorescence Microscopy Techniques (20 papers), Nematode management and characterization studies (17 papers), Glycosylation and Glycoproteins Research (14 papers), T-cell and B-cell Immunology (9 papers) and Advanced Biosensing Techniques and Applications (8 papers). The work is most often cited by research in Biophysics (700 citations), Radiology, Nuclear Medicine and Imaging (950 citations), Oncology (1.1k citations), Molecular Biology (2.7k citations) and Structural Biology (57 citations). Péter Nagy has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include János Szöllõsi, Thomas M. Jovin, György Vereb, Donna J. Arndt‐Jovin, Sándor Damjanovich, Diane S. Lidke, Jorma Isola, Janine N. Post, Rainer Heintzmann and Hernán E. Grecco. Their work appears in journals such as Cytometry Part A, Biophysical Journal, International Journal of Molecular Sciences, Scientific Reports and Journal of Cell Science.
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.