Mariola Kuczer

681 citations
59 papers · 539 · h-index 15

Impact in

    • Insect Utilization and Effects
    • Insect and Pesticide Research
    • Antimicrobial Peptides and Activities

Papers in

    • Insect Resistance and Genetics 14
    • Chemical Synthesis and Analysis 4
    • Insect Utilization and Effects 20
    • Insect and Pesticide Research 12

Mariola Kuczer

55 papers receiving 530 citations

Peers

Mariola Kuczer
Comparison fields: 5 of 69
  • Insect Science 210
  • Microbiology 66
  • Cellular and Molecular Neuroscience 186
  • Immunology 108
  • Genetics 82
Replace Jacqueline Nairn with:
Jacqueline Nairn United Kingdom
Prakash Rucktooa France
Paul K. Pallaghy Australia
Stephan Klauser Switzerland
Lenka Monincová Czechia
Nicole Lawrence Australia
А. В. Липкин Russia
Igor A. Ivanov Russia
Pascal Kessler France
Irina A. Slepneva Russia
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Citations per field
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Jacqueline Nairn · 1×
Citations per year

Countries citing papers authored by Mariola Kuczer

Since Specialization
Citations

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

Fields of papers citing papers by Mariola Kuczer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201136
2 201228
3 201028
4 200825
5 201323
6 201321
7 201120
8 201017
9 201817
10 201016
11 200615
12 202015
13 201615
14 201414
15 201214
16 199814
17 201613
18 201612
19 201212
20 201412

About Mariola Kuczer

Mariola Kuczer is a scholar working on Molecular Biology, Insect Science, Cellular and Molecular Neuroscience, Immunology and Spectroscopy, having authored 59 papers that have together received 539 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Insect Utilization and Effects (20 papers), Insect Resistance and Genetics (14 papers), Insect and Pesticide Research (12 papers), Invertebrate Immune Response Mechanisms (10 papers), Antimicrobial Peptides and Activities (7 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Insect Science (210 citations), Microbiology (66 citations), Cellular and Molecular Neuroscience (186 citations), Immunology (108 citations) and Genetics (82 citations). Mariola Kuczer has collaborated with scholars based in Poland, United Kingdom and Belgium. Frequent co-authors include Grzegorz Rosiński, Teresa Kowalik‐Jankowska, Danuta Konopińska, Paweł Marciniak, Mirosław Łuczak, Arkadiusz Urbański, Szymon Chowański, Lucyna Mrówczyńska, Marek Lisowski and Julia Jezierska. Their work appears in journals such as Journal of Inorganic Biochemistry, Journal of Peptide Science, Scientific Reports, Polyhedron and Journal of Comparative Physiology B.

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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