Jiří Patočka
- Plant Science top 2%
- Molecular Biology top 10%
- Pharmacology top 1%
- Insect Science top 1%
- Organic Chemistry top 5%
- Co-authors
- Kamil KučaQinghua WuEugenie NepovimováJosef HavelDaniel JunEladia María Peña‐MéndezA StruneckáWenda Wu
- Topics
- Cholinesterase and Neurodegenerative Diseases (52 papers)Pesticide Exposure and Toxicity (37 papers)Chemical Reaction Mechanisms (10 papers)
In The Last Decade
Jiří Patočka
185 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Plant Science 1.2k
- Molecular Biology 1.1k
- Pharmacology 884
- Insect Science 532
- Organic Chemistry 350
Countries citing papers authored by Jiří Patočka
This map shows the geographic impact of Jiří Patočka'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 Jiří Patočka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Patočka more than expected).
Fields of papers citing papers by Jiří Patočka
This network shows the impact of papers produced by Jiří Patočka. 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 Jiří Patočka. The network helps show where Jiří Patočka may publish in the future.
Co-authorship network of co-authors of Jiří Patočka
This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Patočka. A scholar is included among the top collaborators of Jiří Patočka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiří Patočka. Jiří Patočka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 76 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 87 | |
| 15 | Kdo syntetizoval první organofosforový inhibitor acetylcholinesterasy | 1 |
| 16 | Beta-aminokyseliny a jejich přírodní biologicky aktivní deriváty. IV. Deriváty neobvyklých acyklických beta-aminokyselin | 1 |
| 17 | Beta-aminokyseliny a jejich přírodní biologicky aktivní deriváty. III. Deriváty beta-fenylalaninu a beta-tyrosinu | 1 |
| 18 | Neletální chemické zbraně a Úmluva o zákazu chemických zbraní | 1 |
| 19 | STRYCHNIN - HISTORIE A SOUČASNOST | 1 |
| 20 | Continual determination of acetylcholinesterase inhibition following organophosphate poisoning using an auto analyzer. | 2 |
About Jiří Patočka
Jiří Patočka is a scholar working on Pharmacology, Plant Science and Chemical Health and Safety, having authored 191 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (52 papers), Pesticide Exposure and Toxicity (37 papers) and Chemical Reaction Mechanisms (10 papers). The work is most often cited by research in Pharmacology (884 citations), Microbiology (306 citations) and Insect Science (532 citations). Jiří Patočka has collaborated with scholars based in Czechia, China and Serbia. Frequent co-authors include Kamil Kuča, Qinghua Wu, Eugenie Nepovimová, Josef Havel, Daniel Jun, Eladia María Peña‐Méndez, A Strunecká, Wenda Wu, Jiřı́ Cabal and Blanka Klímová. Their work appears in journals such as FEBS Letters, International Journal of Molecular Sciences and Journal of Neurochemistry.
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.