Lada Ivanova

1.3k citations
46 papers · 1.1k · h-index 21

Impact in

Papers in

    • Mycotoxins in Agriculture and Food 27
    • Wheat and Barley Genetics and Pathology 5
    • Plant Toxicity and Pharmacological Properties 5
    • Metabolomics and Mass Spectrometry Studies 4

Lada Ivanova

45 papers receiving 1.0k citations

Peers

Lada Ivanova
Comparison fields: 5 of 88
  • Plant Science 709
  • Ecology, Evolution, Behavior and Systematics 220
  • Microbiology 62
  • Food Science 150
  • Insect Science 102
Replace Luca Dellafiora with:
Luca Dellafiora Italy
Satria A. Kautsar Netherlands
Ekaterina Shelest Germany
Chayma Bouaziz Tunisia
Gonzalo J. Díaz Colombia
Anthony L. J. Cole New Zealand
Elisabeth Varga Austria
Robert M. Eppley United States
Alfons Callebaut Belgium
Philippe Guerre France
Lada Ivanova relative to Luca Dellafiora Italy Luca Dellafiora's profile →
Citations per field
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Luca Dellafiora · 1×
Citations per year

Countries citing papers authored by Lada Ivanova

Since Specialization
Citations

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

Fields of papers citing papers by Lada Ivanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006132
2 201263
3 201258
4 201958
5 201248
6 201146
7 201341
8 201741
9 200837
10 200435
11 202331
12 201129
13 200727
14 201826
15 202025
16 201924
17 201622
18 201720
19 201420
20 202020

About Lada Ivanova

Lada Ivanova is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Immunology and Pharmacology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (27 papers), Wheat and Barley Genetics and Pathology (5 papers), Plant Toxicity and Pharmacological Properties (5 papers), Fungal Biology and Applications (5 papers), Plant and fungal interactions (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Plant Science (709 citations), Ecology, Evolution, Behavior and Systematics (220 citations), Microbiology (62 citations), Food Science (150 citations) and Insect Science (102 citations). Lada Ivanova has collaborated with scholars based in Norway, Belgium and United States. Frequent co-authors include Silvio Uhlig, Christiane Kruse Fæste, Gunnar Sundstøl Eriksen, Anita Solhaug, Eystein Skjerve, Jørn A. Holme, Siska Croubels, Mathias Devreese, Wolfgang Egge‐Jacobsen and Even Thoen. Their work appears in journals such as World Mycotoxin Journal, Toxins, Toxicon, Archives of Toxicology and Chemical Research in Toxicology.

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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