Jan Misík

43 papers receiving 627 citations

Peers

Jan Misík
Comparison fields: 5 of 97
  • Pharmacology 250
  • Insect Science 108
  • Plant Science 309
  • Health, Toxicology and Mutagenesis 89
  • Chemical Health and Safety 4
Replace John Mikler with:
John Mikler Canada
Mohamed B. Abou-Donia United States
Herman P.M. van Helden Netherlands
Marloes J.A. Joosen Netherlands
Andris Kaminskis United States
Srinivasa Muralidhara United States
Lucie Bartošová Czechia
M. B. Abou-Donia United States
J Bajgar Czechia
William A. Groff United States
Jan Misík relative to John Mikler Canada John Mikler's profile →
Citations per field
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John Mikler · 1×
Citations per year

Countries citing papers authored by Jan Misík

Since Specialization
Citations

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

Fields of papers citing papers by Jan Misík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 201450
3 201140
4 201036
5 201430
6 201830
7 201126
8 201226
9 201726
10 201624
11 201724
12 201723
13 201521
14 200919
15 201515
16 201214
17 201912
18 201511
19 201411
20 200910

About Jan Misík

Jan Misík is a scholar working on Plant Science, Pharmacology, Insect Science, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 44 papers that have together received 638 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (29 papers), Cholinesterase and Neurodegenerative Diseases (20 papers), Insect and Pesticide Research (14 papers), Environmental Toxicology and Ecotoxicology (7 papers), Computational Drug Discovery Methods (5 papers), Advancements in Transdermal Drug Delivery (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Poisoning and overdose treatments (3 papers). The work is most often cited by research in Pharmacology (250 citations), Insect Science (108 citations), Plant Science (309 citations), Health, Toxicology and Mutagenesis (89 citations) and Chemical Health and Safety (4 citations). Jan Misík has collaborated with scholars based in Czechia, Serbia and United Kingdom. Frequent co-authors include Kamil Kuča, Ladislav Novotný, Jiřı́ Kassa, Jiřı́ Cabal, Jana Žďárová Karasová, Jan Korábečný, Michal Crha, Alois Nečas, Eugenie Nepovimová and Daniel Jun. Their work appears in journals such as Journal of Applied Biomedicine, Toxicology Letters, Molecules, Basic & Clinical Pharmacology & Toxicology and Drug and Chemical 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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