É. Nagy

1.1k citations
37 papers · 825 indexed · h-index 14

Impact in

    • Wheat and Barley Genetics and Pathology
    • Plant Disease Resistance and Genetics
    • Peanut Plant Research Studies
    • 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 Virus Research Studies 5
    • Peanut Plant Research Studies 4
    • Plant Disease Resistance and Genetics 4
    • Genetics and Plant Breeding 4

É. Nagy

36 papers receiving 796 citations

Peers

É. Nagy
Comparison fields: 5 of 70
  • Plant Science 677
  • Inorganic Chemistry 120
  • Agronomy and Crop Science 40
  • Genetics 108
  • General Materials Science 9
Replace Soo‐Jin Kim with:
Soo‐Jin Kim South Korea
Ramesh Bhat India
Ashley Jones Australia
Muhammad Tanveer Altaf Türkiye
Mitsuru Nishiguchi Japan
Upinder Gill United States
K. Maeda Japan
Inès Ben Sadok France
Junjie Zhang China
Shenhao Wang China
É. Nagy relative to Soo‐Jin Kim South Korea Soo‐Jin Kim's profile →
Citations per field
00.5×3.5×
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-authorship network

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
#Work
1 20253
2 20227
3 202125
4 201810
5 201250
6 201223
7 201084
8
SSR MARKERS AS TOOLS IN MAIZE BREEDING FOR HIGH STARCH CONTENT
20092
9 20092
10 200888
11
The effect of fungicide treatments on wheat common bunt (Tilletia spp.) in Transylvania.
20072
12 200728
13 200725
14 20073
15 200622
16 20028
17 200240
18 199412
19 196874
20 19564

About É. Nagy

É. Nagy is a scholar working on Plant Science, General Materials Science, Inorganic Chemistry, Agronomy and Crop Science and Molecular Biology, having authored 37 papers that have together received 825 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 Virus Research Studies (5 papers), Peanut Plant Research Studies (4 papers), Plant Disease Resistance and Genetics (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetics and Plant Breeding (4 papers). The work is most often cited by research in Plant Science (677 citations), Inorganic Chemistry (120 citations), Agronomy and Crop Science (40 citations), Genetics (108 citations) and General Materials Science (9 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, Yufang Guo, Peggy Ozias‐Akins, Steven J. Knapp, Gabriella Linc, I. Nagy, E. Krén and Л. Пал. Their work appears in journals such as Acta Agronomica Hungarica, Theoretical and Applied Genetics, Genome, BMC Genomics and The Plant Genome.

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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