Éric Krejci
- Pharmacology top 0.1%
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Plant Science top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Jean MassouliéSuzanne BonLeo PezzementiFrançois M. ValletteClaire LegayJordi MolgóAnselme L. PerrierS. Bon
- Topics
- Cholinesterase and Neurodegenerative Diseases (51 papers)Computational Drug Discovery Methods (31 papers)Nicotinic Acetylcholine Receptors Study (19 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesSlovakia
In The Last Decade
Éric Krejci
73 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Pharmacology 2.6k
- Molecular Biology 1.8k
- Computational Theory and Mathematics 1.3k
- Plant Science 938
- Cellular and Molecular Neuroscience 723
Countries citing papers authored by Éric Krejci
This map shows the geographic impact of Éric Krejci'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 Éric Krejci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Krejci more than expected).
Fields of papers citing papers by Éric Krejci
This network shows the impact of papers produced by Éric Krejci. 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 Éric Krejci. The network helps show where Éric Krejci may publish in the future.
Co-authorship network of co-authors of Éric Krejci
This figure shows the co-authorship network connecting the top 25 collaborators of Éric Krejci. A scholar is included among the top collaborators of Éric Krejci 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 Éric Krejci. Éric Krejci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Acetylcholinesterase and Butyrylcholinesterase anchoring in murine ocular compartments, role of Colq and PRiMA | 1 |
| 6 | 58 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 20 | |
| 10 | 56 | |
| 11 | 11 | |
| 12 | 35 | |
| 13 | 18 | |
| 14 | 28 | |
| 15 | 76 | |
| 16 | 204 | |
| 17 | 125 | |
| 18 | 6 | |
| 19 | Molecular and cellular biology of cholinesterasesbreakdown → | 1046 |
| 20 | 24 |
About Éric Krejci
Éric Krejci is a scholar working on Pharmacology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (51 papers), Computational Drug Discovery Methods (31 papers) and Nicotinic Acetylcholine Receptors Study (19 papers). The work is most often cited by research in Pharmacology (2.6k citations), Computational Theory and Mathematics (1.3k citations) and Complementary and alternative medicine (416 citations). Éric Krejci has collaborated with scholars based in France, United States and Slovakia. Frequent co-authors include Jean Massoulié, Suzanne Bon, Leo Pezzementi, François M. Vallette, Claire Legay, Jordi Molgó, Anselme L. Perrier, S. Bon, Nathalie Duval and Arnaud Chatonnet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.