Peter D. Nagy
- Endocrinology top 0.05%
- Plant and Fungal Interactions Research 79
- Plant Science top 0.1%
- Plant Virus Research Studies 172
- Plant Disease Resistance and Genetics 22
- Insect Science top 0.2%
- Insect-Plant Interactions and Control 31
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 15
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- Viral Infections and Immunology Research 42
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- CRISPR and Genetic Engineering 39
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- Bacteriophages and microbial interactions 14
- Co-authors
- Judit PoganyTadas PanavasJózef J. BujarskiDaniel BarajasKai XuZhenghe LiZsuzsanna SasváriNikolay Kovalev
- Partner nations
- United StatesSpainCanada
In The Last Decade
Peter D. Nagy
189 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrinology 3.4k
- Plant Science 7.7k
- Insect Science 1.7k
- Animal Science and Zoology 730
- Cardiology and Cardiovascular Medicine 1.6k
Countries citing papers authored by Peter D. Nagy
This map shows the geographic impact of Peter D. 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 Peter D. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Nagy more than expected).
Fields of papers citing papers by Peter D. Nagy
This network shows the impact of papers produced by Peter D. 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 Peter D. Nagy. The network helps show where Peter D. Nagy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter D. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 17 | |
| 4 | 2018 | 37 | |
| 5 | 2015 | 70 | |
| 6 | 2012 | 41 | |
| 7 | 2012 | 19 | |
| 8 | 2011 | 46 | |
| 9 | 2010 | 67 | |
| 10 | 2010 | 60 | |
| 11 | 2008 | 26 | |
| 12 | 2006 | 107 | |
| 13 | 2005 | 112 | |
| 14 | 2005 | 40 | |
| 15 | 2005 | 90 | |
| 16 | 2005 | 33 | |
| 17 | 2004 | 190 | |
| 18 | 2001 | 29 | |
| 19 | 1998 | 22 | |
| 20 | Wheat streak mosaic virus in Hungary. | 1988 | 4 |
About Peter D. Nagy
Peter D. Nagy is a scholar working on Endocrinology, Plant Science, Insect Science, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 191 papers that have together received 9.7k indexed citations. Recurring topics across this work include Plant Virus Research Studies (172 papers), Plant and Fungal Interactions Research (79 papers), Viral Infections and Immunology Research (42 papers), CRISPR and Genetic Engineering (39 papers), Insect-Plant Interactions and Control (31 papers), Plant Disease Resistance and Genetics (22 papers), Animal Virus Infections Studies (15 papers) and Bacteriophages and microbial interactions (14 papers). The work is most often cited by research in Endocrinology (3.4k citations), Plant Science (7.7k citations), Insect Science (1.7k citations), Animal Science and Zoology (730 citations) and Cardiology and Cardiovascular Medicine (1.6k citations). Peter D. Nagy has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Judit Pogany, Tadas Panavas, Józef J. Bujarski, Daniel Barajas, Kai Xu, Zhenghe Li, Zsuzsanna Sasvári, Nikolay Kovalev, K. Andrew White and Robert Wang. Their work appears in journals such as Virology, Journal of Virology, PLoS Pathogens, Proceedings of the National Academy of Sciences and Current Opinion in Virology.
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.