Kateryna Davydenko

972 citations
36 papers · 339 indexed · h-index 12

Kateryna Davydenko

33 papers receiving 316 citations

Peers

Kateryna Davydenko
Comparison fields: 5 of 29
  • Insect Science 140
  • Ecology 231
  • Cell Biology 141
  • Endocrinology 31
  • Plant Science 133
Replace Miloň Dvořák with:
Miloň Dvořák Czechia
Panaghiotis Tsopelas Greece
Richard O’Hanlon Ireland
Dušan Jurc Slovenia
Johanna Bußkamp Germany
Remigijus Bakys Sweden
K. Przybył Poland
Françoise Petter United Kingdom
Masashi Ohsawa Japan
Diana Marčiulynienė Lithuania
Kateryna Davydenko relative to Miloň Dvořák Czechia Miloň Dvořák's profile →
Citations per field
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Miloň Dvořák · 1×
Citations per year

Countries citing papers authored by Kateryna Davydenko

Since Specialization
Citations

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

Fields of papers citing papers by Kateryna Davydenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 20249
5 20240
6 20232
7 20237
8 20211
9 20218
10 20213
11 20201
12 20204
13 20191
14 20198
15
Three-year dynamics of common ash defoliation and crown condition in the focus of black sawfly Tomostethus nigritus f. (Hymenoptera: Tenthredinidae).
20179
16
Genomes of Hymenoscyphus fraxineus and Hymenoscyphus albidus encode surprisingly large cell wall degrading potential, balancing saprotrophic and necrotrophic signatures.
201711
17
Dothistroma needle blight on high altitude pine forests in Montenegro.
20178
18 201720
19 20175
20 201744

About Kateryna Davydenko

Kateryna Davydenko is a scholar working on Insect Science, Ecology and Cell Biology, having authored 36 papers that have together received 339 indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (28 papers), Forest Ecology and Biodiversity Studies (16 papers), Plant Pathogens and Fungal Diseases (14 papers), Mycorrhizal Fungi and Plant Interactions (9 papers), Entomological Studies and Ecology (6 papers), Yeasts and Rust Fungi Studies (4 papers), Entomopathogenic Microorganisms in Pest Control (3 papers) and Diverse Scientific Research in Ukraine (3 papers). The work is most often cited by research in Insect Science (140 citations), Ecology (231 citations) and Cell Biology (141 citations). Kateryna Davydenko has collaborated with scholars based in Sweden, Ukraine and China. Frequent co-authors include Rimvydas Vasaitis, Audrius Menkis, Valentyna Meshkova, Jan Stenlid, Malin Elfstrand, Michelle Cleary, Svetlana Markovskaja, Audrius Kačergius, Stuart Fraser and Diana Marčiulynienė. Their work appears in journals such as SHILAP Revista de lepidopterología, Forest Ecology and Management and BMC Genomics.

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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