Zoltán Hegyi

962 citations
65 papers · 758 indexed · h-index 16

Zoltán Hegyi

64 papers receiving 711 citations

Peers

Zoltán Hegyi
Comparison fields: 5 of 97
  • Ecology, Evolution, Behavior and Systematics 169
  • Pharmacology 141
  • Ecology 210
  • Cellular and Molecular Neuroscience 146
  • Parasitology 48
Replace Bart M. G. Smits with:
Bart M. G. Smits Netherlands
James E. Woods United States
Robert B. Norgren United States
Hyong Kyu Kim South Korea
Rebecca E. Koch United States
E. Ciriaco Italy
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Michael Wittig Germany
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Zoltán Hegyi relative to Bart M. G. Smits Netherlands Bart M. G. Smits's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zoltán Hegyi

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Hegyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 20204
4 201730
5 201723
6 201615
7 201410
8
Seedling vigour and seed deterioration in case of some maize (Zea mays L.) Genotypes
20131
9 201227
10
Increasing biogas yield per unit area by using new type of silage maize hybrids.
20111
11 201062
12
SSR MARKERS AS TOOLS IN MAIZE BREEDING FOR HIGH STARCH CONTENT
20092
13
Comparative analysis of silage maize hybrids based on agronomic traits and chemical quality.
20093
14
Effect of abiotic stress factors on the yield quantity and quality of maize hybrids.
20092
15 20098
16
Effects of age composition of pairs and weather condition on the breeding performance of tawny owls, Strix aluco
20029
17
COMPONENTS OF FITNESS IN LAPWINGS VANELLUS VANELLUS AND BLACK-TAILED GODWITS LIMOSA LIMOSA DURING THE BREEDING SEASON : DO FEMALE BODY MASS AND EGG SI ZE MATTER ?
199822
18
Parental condition and breeding effort in waders
199845
19
Costs and benefits of interspecific coloniality in breeding waders
19973
20 199415

About Zoltán Hegyi

Zoltán Hegyi is a scholar working on Agronomy and Crop Science, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 65 papers that have together received 758 indexed citations. Recurring topics across this work include Avian ecology and behavior (17 papers), Animal Behavior and Reproduction (15 papers), Neuroscience and Neuropharmacology Research (10 papers), Crop Yield and Soil Fertility (10 papers), Genetics and Plant Breeding (9 papers), Bird parasitology and diseases (7 papers), Pain Mechanisms and Treatments (7 papers) and Plant and animal studies (6 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (169 citations), Pharmacology (141 citations) and Ecology (210 citations). Zoltán Hegyi has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Lajos Sasvári, Miklós Antal, Krisztina Holló, László Homolya, Gréta Kis, P Péczely, Balázs Pál, Catherine Ledent, Zoltán Mészár and Tibor Csörgő. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

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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