Donát Magyar

2.4k citations
72 papers · 1.1k · h-index 17

Impact in

Papers in

Donát Magyar

68 papers receiving 1.1k citations

Peers

Donát Magyar
Comparison fields: 5 of 95
  • Immunology and Allergy 418
  • Health, Toxicology and Mutagenesis 324
  • Ecological Modeling 92
  • Ecology, Evolution, Behavior and Systematics 357
  • Cell Biology 188
Replace Giuseppe Frenguelli with:
Giuseppe Frenguelli Italy
Ilda Abreu Portugal
A. Ghiani Italy
L Huber France
Joseph M. Russo United States
Anna Sandionigi Italy
Jonathan P. Dey
Gianni Della Rocca Italy
Markéta Ságová‐Marečková Czechia
Germán Bonilla‐Rosso Switzerland
Donát Magyar relative to Giuseppe Frenguelli Italy Giuseppe Frenguelli's profile →
Citations per field
00.5×2.6×
Giuseppe Frenguelli · 1×
Citations per year

Countries citing papers authored by Donát Magyar

Since Specialization
Citations

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

Fields of papers citing papers by Donát Magyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201087
3 201387
4 200380
5 201171
6 201654
7 201652
8 201250
9 201946
10 202033
11 200933
12 202126
13 200522
14 201020
15 202118
16 201517
17 201616
18 202115
19 201712
20 201311

About Donát Magyar

Donát Magyar is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Immunology and Allergy, Health, Toxicology and Mutagenesis and Cell Biology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (23 papers), Lichen and fungal ecology (22 papers), Plant Pathogens and Fungal Diseases (22 papers), Indoor Air Quality and Microbial Exposure (20 papers), Mycorrhizal Fungi and Plant Interactions (9 papers), Mycotoxins in Agriculture and Food (8 papers), Botany and Plant Ecology Studies (7 papers) and Species Distribution and Climate Change (5 papers). The work is most often cited by research in Immunology and Allergy (418 citations), Health, Toxicology and Mutagenesis (324 citations), Ecological Modeling (92 citations), Ecology, Evolution, Behavior and Systematics (357 citations) and Cell Biology (188 citations). Donát Magyar has collaborated with scholars based in Hungary, Germany and Poland. Frequent co-authors include Branko Šikoparija, Carsten Ambelas Skjøth, Matt Smith, Idalia Kasprzyk, Anna Páldy, János Bobvos, Bernhard Vogel, Christoph Kottmeier, H. Vogel and Łukasz Grewling. Their work appears in journals such as Aerobiologia, Pathogens, Agricultural and Forest Meteorology, International Journal of Biometeorology and Mycological Progress.

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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