Jan Šobotník

4.1k citations
117 papers · 2.7k indexed · h-index 29

Jan Šobotník

112 papers receiving 2.6k citations

Peers

Jan Šobotník
Comparison fields: 5 of 104
  • Ecology, Evolution, Behavior and Systematics 1.9k
  • Insect Science 1.1k
  • Genetics 2.1k
  • Cellular and Molecular Neuroscience 284
  • Ecological Modeling 31
Replace Thomas Bourguignon with:
Thomas Bourguignon Czechia
Christine A. Nalepa United States
Chow‐Yang Lee Malaysia
Alain Lenoir France
Rita Cervo Italy
Philip T. Starks United States
Jérôme Orivel France
Yves Roisin Belgium
Astrid T. Groot Netherlands
Christian Braendle France
Jan Šobotník relative to Thomas Bourguignon Czechia Thomas Bourguignon's profile →
Citations per field
00.5×1.5×2.1×
Thomas Bourguignon · 1×
Citations per year

Countries citing papers authored by Jan Šobotník

Since Specialization
Citations

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

Fields of papers citing papers by Jan Šobotník

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20241
4 20240
5 20232
6 20230
7 202310
8 20223
9 20223
10 202216
11 202269
12 202213
13 202213
14 20224
15 20228
16 20211
17 20212
18 202170
19 20186
20 201717

About Jan Šobotník

Jan Šobotník is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science, having authored 117 papers that have together received 2.7k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (106 papers), Plant and animal studies (98 papers), Animal Behavior and Reproduction (37 papers), Insect and Pesticide Research (33 papers), Neurobiology and Insect Physiology Research (15 papers), Fossil Insects in Amber (7 papers), Insect symbiosis and bacterial influences (6 papers) and Plant Parasitism and Resistance (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.9k citations), Insect Science (1.1k citations) and Genetics (2.1k citations). Jan Šobotník has collaborated with scholars based in Czechia, France and Belgium. Frequent co-authors include Thomas Bourguignon, Yves Roisin, Robert Hanus, David Sillam‐Dussès, Nathan Lo, Josef Cvačka, Theodore A. Evans, Frantíšek Weyda, Anna Jirošová and Irena Valterová. Their work appears in journals such as Arthropod Structure & Development, Journal of Chemical Ecology, Insectes Sociaux, Proceedings of the Royal Society B Biological Sciences and Journal of Insect Physiology.

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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