Margit Szikszay

943 citations
39 papers · 811 indexed · h-index 16
Topics
Pain Mechanisms and Treatments (18 papers)Neuroscience and Neuropharmacology Research (13 papers)Neuropeptides and Animal Physiology (13 papers)

In The Last Decade

Margit Szikszay

39 papers receiving 789 citations

Peers

Margit Szikszay
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 460
  • Physiology 391
  • Molecular Biology 348
  • Anesthesiology and Pain Medicine 105
  • Surgery 102
Replace W.A. Prado with:
W.A. Prado Brazil
D.J. Mayer United States
Emilie Laboureyras France
Shengtai Zhou United States
Stephen R. Skilling United States
Kelly J. Powell Canada
Andrea K. Houghton United States
Niloofar Rezvani United States
Liang‐Fu Tseng United States
H. Oanh Nguyen United States
Margit Szikszay relative to W.A. Prado Brazil W.A. Prado's profile →
Citations per field
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W.A. Prado · 1×
Citations per year

Countries citing papers authored by Margit Szikszay

Since Specialization
Citations

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

Fields of papers citing papers by Margit Szikszay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Szikszay

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Szikszay. A scholar is included among the top collaborators of Margit Szikszay 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 Margit Szikszay. Margit Szikszay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 25
3 53
4 2
5 38
6 48
7 6
8 27
9 31
10 11
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12
Drugs acting at calcium channels can influence the hypnotic-anesthetic effect of dexmedetomidine.
6
13 15
14 11
15 4
16 26
17 18
18 6
19 8
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About Margit Szikszay

Margit Szikszay is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine and Physiology, having authored 39 papers that have together received 811 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Neuroscience and Neuropharmacology Research (13 papers) and Neuropeptides and Animal Physiology (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (460 citations), Anesthesiology and Pain Medicine (105 citations) and Physiology (391 citations). Margit Szikszay has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Gyöngyi Horváth, György Benedek, Edythe D. London, Ildikó Dobos, F. Obál, Walter Klimscha, M. Dam, JK Wamsley, Gabriella Kékesi and James K. Wamsley. Their work appears in journals such as Journal of Neuroscience, Brain Research and Neuroscience.

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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