Dávid U. Nagy

931 citations
50 papers · 621 · h-index 16

Impact in

Papers in

Dávid U. Nagy

46 papers receiving 605 citations

Peers

Dávid U. Nagy
Comparison fields: 5 of 104
  • Nature and Landscape Conservation 116
  • Plant Science 289
  • Insect Science 93
  • Ecological Modeling 29
  • Food Science 116
Replace Rosario Schicchi with:
Rosario Schicchi Italy
MM Hossain Bangladesh
Zhang Jianxin China
O. A. Lameira Brazil
Samina Qamer Pakistan
Reneé H. Fortunato Argentina
Mahmut Çalışkan Türkiye
Lingliang Guan China
Ümit Acar Türkiye
Dávid U. Nagy relative to Rosario Schicchi Italy Rosario Schicchi's profile →
Citations per field
00.5×3.6×
Rosario Schicchi · 1×
Citations per year

Countries citing papers authored by Dávid U. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Dávid U. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dávid U. 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 Dávid U. Nagy Line = papers co-authored together Dávid U. Nagy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 201848
3 201544
4 201537
5 202134
6 201631
7 202228
8 201726
9 202026
10 201823
11 202022
12 201922
13 202021
14 202017
15 202016
16 202116
17 202313
18 201613
19 202013
20 201411

About Dávid U. Nagy

Dávid U. Nagy is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Immunology and Food Science, having authored 50 papers that have together received 621 indexed citations. Recurring topics across this work include Plant and animal studies (13 papers), Ecology and Vegetation Dynamics Studies (12 papers), Immune Cell Function and Interaction (10 papers), Plant Parasitism and Resistance (9 papers), Reproductive System and Pregnancy (8 papers), Essential Oils and Antimicrobial Activity (6 papers), Allelopathy and phytotoxic interactions (5 papers) and Pregnancy and preeclampsia studies (4 papers). The work is most often cited by research in Nature and Landscape Conservation (116 citations), Plant Science (289 citations), Insect Science (93 citations), Ecological Modeling (29 citations) and Food Science (116 citations). Dávid U. Nagy has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Róbert W. Pál, Kevin Cianfaglione, Ragan M. Callaway, Filippo Maggi, Mátyás Meggyes, László Szereday, Shuyan Chen, Ágnes Farkas, Stefano Dall’Acqua and Stefania Sut. Their work appears in journals such as International Journal of Molecular Sciences, Chemistry & Biodiversity, New Phytologist, Molecules and Biological Invasions.

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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