É. Nagy

1.1k citations
37 papers · 836 · h-index 14

Impact in

    • Peanut Plant Research Studies
    • Wheat and Barley Genetics and Pathology
    • Plant Disease Resistance and Genetics
    • Agricultural pest management studies
    • Chromosomal and Genetic Variations
    • Plant Virus Research Studies
    • Coconut Research and Applications

Papers in

    • Wheat and Barley Genetics and Pathology 10
    • Chromosomal and Genetic Variations 7
    • Plant Disease Resistance and Genetics 4
    • Peanut Plant Research Studies 4
    • Plant Virus Research Studies 4
    • Genetics and Plant Breeding 4
    • CRISPR and Genetic Engineering 5

É. Nagy

36 papers receiving 807 citations

Peers

É. Nagy
Comparison fields: 5 of 71
  • Plant Science 668
  • Inorganic Chemistry 109
  • Agronomy and Crop Science 40
  • Genetics 103
  • Cell Biology 47
Replace Soo‐Jin Kim with:
Soo‐Jin Kim South Korea
Ashley Jones Australia
Ramesh Bhat India
Mitsuru Nishiguchi Japan
Upinder Gill United States
Hiroki Tokunaga Japan
Junjie Zhang China
Fu‐Jin Wei Taiwan
Youngjun Mo South Korea
É. Nagy relative to Soo‐Jin Kim South Korea Soo‐Jin Kim's profile →
Citations per field
00.5×3.3×
Soo‐Jin Kim · 1×
Citations per year

Countries citing papers authored by É. Nagy

Since Specialization
Citations

This map shows the geographic impact of É. 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 É. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites É. Nagy more than expected).

Fields of papers citing papers by É. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by É. 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 É. Nagy. The network helps show where É. Nagy may publish in the future.

Co-authors

The 25 scholars most cited alongside É. Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with É. Nagy Line = papers co-authored together É. Nagy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013159
2 200889
3 201084
4 196875
5 201250
6 200240
7 200334
8 200331
9 200729
10 202126
11 200725
12 201223
13 200622
14 202122
15 199412
16 200212
17 200710
18 201810
19 20039
20 20028

About É. Nagy

É. Nagy is a scholar working on Plant Science, Molecular Biology, Genetics, Materials Chemistry and Cell Biology, having authored 37 papers that have together received 836 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (10 papers), Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (5 papers), Plant Disease Resistance and Genetics (4 papers), Peanut Plant Research Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Virus Research Studies (4 papers) and Genetics and Plant Breeding (4 papers). The work is most often cited by research in Plant Science (668 citations), Inorganic Chemistry (109 citations), Agronomy and Crop Science (40 citations), Genetics (103 citations) and Cell Biology (47 citations). É. Nagy has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Jeffrey L. Bennetzen, Márta Molnár‐Láng, T. Lelley, Peggy Ozias‐Akins, Yufang Guo, Steven J. Knapp, Gabriella Linc, Pál Szabó, I. Nagy and Л. Пал. Their work appears in journals such as Acta Agronomica Hungarica, BMC Genomics, Theoretical and Applied Genetics, Genome and Frontiers in Plant 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.

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