Marie Soukupovà

780 citations
30 papers · 528 indexed · h-index 12

Marie Soukupovà

28 papers receiving 526 citations

Peers

Marie Soukupovà
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 201
  • Developmental Neuroscience 24
  • Cancer Research 73
  • Psychiatry and Mental health 63
  • Molecular Biology 258
Replace Longze Sha with:
Longze Sha China
Sean P. Moran United States
Kiyoshi Egawa Japan
Ping Su Canada
Dove Keith United States
Helmut Kubista Austria
Thomas Henzi Switzerland
Aline Winkelmann Germany
Guofeng Zhang United States
Zhengyu Cao China
Marie Soukupovà relative to Longze Sha China Longze Sha's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marie Soukupovà

Since Specialization
Citations

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

Fields of papers citing papers by Marie Soukupovà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20241
4 20240
5 20242
6 20237
7 20226
8 202212
9 202112
10 20213
11 2019111
12 20182
13 20182
14 201541
15 201592
16 201443
17 201114
18 201150
19
Effects of URB597, an inhibitor of fatty acid amide hydrolase (FAAH), on analgesic activity of paracetamol.
201010
20 200814

About Marie Soukupovà

Marie Soukupovà is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Small Animals, having authored 30 papers that have together received 528 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), RNA Interference and Gene Delivery (6 papers), Epilepsy research and treatment (6 papers), Virus-based gene therapy research (5 papers), Pain Mechanisms and Treatments (4 papers), Lipid Membrane Structure and Behavior (3 papers), CRISPR and Genetic Engineering (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (201 citations), Developmental Neuroscience (24 citations) and Cancer Research (73 citations). Marie Soukupovà has collaborated with scholars based in Italy, Czechia and United Kingdom. Frequent co-authors include Michele Simonato, Silvia Zucchini, Gianluca Verlengia, Chiara Falcicchia, Anna Binaschi, Paolo Roncon, Eleonora Palma, Sabatino Maione, Enza Palazzo and Ida Marabese. Their work appears in journals such as Journal of Visualized Experiments, European Journal of Pharmacology, Experimental Neurology, Scientific Reports and Frontiers in Psychiatry.

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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