Eva Češková

1.7k citations
109 papers · 1.2k · h-index 21

Impact in

Papers in

Eva Češková

91 papers receiving 1.2k citations

Peers

Eva Češková
Comparison fields: 5 of 94
  • Psychiatry and Mental health 700
  • Biological Psychiatry 108
  • Neurology 197
  • Behavioral Neuroscience 67
  • Cognitive Neuroscience 335
Replace A. Klimke with:
A. Klimke Germany
A Féline France
Kaida Jiang China
M. Kâzım Yazıcı Türkiye
Roberto Brugnoli Italy
Maria Donata Orfei Italy
Rune A. Kroken Norway
Iluminada Corripio Spain
Jun Ku Chung Canada
Elisse Kramer‐Ginsberg United States
Eva Češková relative to A. Klimke Germany A. Klimke's profile →
Citations per field
00.5×1.7×
A. Klimke · 1×
Citations per year

Countries citing papers authored by Eva Češková

Since Specialization
Citations

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

Fields of papers citing papers by Eva Češková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007126
2 199387
3 200769
4 200950
5 201349
6 201844
7 201344
8 201839
9 200638
10 201238
11 200738
12 201134
13 200532
14 201530
15 200729
16 200928
17 201627
18 201223
19 201622
20 200721

About Eva Češková

Eva Češková is a scholar working on Psychiatry and Mental health, Pharmacology, Cognitive Neuroscience, Biological Psychiatry and Neurology, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (52 papers), Treatment of Major Depression (24 papers), Functional Brain Connectivity Studies (15 papers), Electroconvulsive Therapy Studies (12 papers), Tryptophan and brain disorders (12 papers), Bipolar Disorder and Treatment (12 papers), Transcranial Magnetic Stimulation Studies (10 papers) and Mental Health and Psychiatry (9 papers). The work is most often cited by research in Psychiatry and Mental health (700 citations), Biological Psychiatry (108 citations), Neurology (197 citations), Behavioral Neuroscience (67 citations) and Cognitive Neuroscience (335 citations). Eva Češková has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Radovan Přikryl, Tomáš Kašpárek, Jaromír Švestka, Libor Ustohal, Hana Kučerová, Jiří Jarkovský, Michal Mikl, Daniel Schwarz, Jiří Vaníček and Radek Mareček. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, The World Journal of Biological Psychiatry, Schizophrenia Research, Pharmacopsychiatry and European Neuropsychopharmacology.

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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