Eva Mechírová

511 citations
28 papers · 413 · h-index 12

Impact in

Papers in

Eva Mechírová

28 papers receiving 410 citations

Peers

Eva Mechírová
Comparison fields: 5 of 78
  • Developmental Neuroscience 143
  • Pathology and Forensic Medicine 209
  • Neurology 92
  • Cellular and Molecular Neuroscience 143
  • Complementary and alternative medicine 47
Replace Chaoran Wu with:
Chaoran Wu China
Jingyi Tu China
Rickard Lindblom Sweden
Xin Xiang China
Shiyun Jin China
Guiying Deng United States
Ya-Ni Huang Taiwan
Kyung Hee Lee South Korea
Xiao‐Peng Mei China
Eva Mechírová relative to Chaoran Wu China Chaoran Wu's profile →
Citations per field
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Chaoran Wu · 1×
Citations per year

Countries citing papers authored by Eva Mechírová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Mechírová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006102
2 200949
3 200942
4 198932
5 200923
6 200919
7 201317
8 200615
9
Effect of Tanakan on postischemic activity of protein synthesis machinery in the rat brain.
200412
10 201912
11 200212
12 201711
13 201710
14 20099
15 20198
16 20067
17 20137
18 20195
19 20234
20
Ascending anterograde degeneration of some rabbit spinal cord tracts after ischemic damage.
19844

About Eva Mechírová

Eva Mechírová is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Developmental Neuroscience, Neurology and Complementary and alternative medicine, having authored 28 papers that have together received 413 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (7 papers), Cardiac Ischemia and Reperfusion (7 papers), Ginkgo biloba and Cashew Applications (5 papers), Spinal Cord Injury Research (5 papers), Mitochondrial Function and Pathology (5 papers), Neurological Disease Mechanisms and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Pathology and Forensic Medicine (209 citations), Neurology (92 citations), Cellular and Molecular Neuroscience (143 citations) and Complementary and alternative medicine (47 citations). Eva Mechírová has collaborated with scholars based in Slovakia, Bulgaria and Spain. Frequent co-authors include Jozef Bürda, Viera Danielisová, Michael Gottlieb, Miroslava Némethová, Rastislav Burda, Matilde Salinas, I Šulla, J Maršala, Martin Maršala and Z Tomori. Their work appears in journals such as Cellular and Molecular Neurobiology, Acta Histochemica, Life Sciences, Journal of Parkinson s Disease and Journal of Molecular Histology.

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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