Miguel Skirzewski

1.2k citations
14 papers · 529 indexed · h-index 11
Topics
Neuroscience and Neuropharmacology Research (5 papers)Receptor Mechanisms and Signaling (5 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)

In The Last Decade

Miguel Skirzewski

14 papers receiving 524 citations

Peers

Miguel Skirzewski
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 243
  • Molecular Biology 168
  • Cognitive Neuroscience 126
  • Physiology 82
  • Endocrine and Autonomic Systems 61
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Shu-Xia Cao China
Ilse Goris United States
Elise Gondard Canada
Micah A. Shelton United States
Rianne R. Campbell United States
Béatrice Botia France
Gregory L. Osterhaus United States
Mohammed Al‐Onaizi Canada
Wojciech Solecki Poland
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Miguel Skirzewski relative to Shu-Xia Cao China Shu-Xia Cao's profile →
Citations per field
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Shu-Xia Cao · 1×
Citations per year

Countries citing papers authored by Miguel Skirzewski

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Skirzewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Skirzewski

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 19
3 3
4 3
5 24
6 16
7 86
8 120
9 47
10 51
11 89
12 21
13 12
14 37

About Miguel Skirzewski

Miguel Skirzewski is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Behavioral Neuroscience, having authored 14 papers that have together received 529 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Cellular and Molecular Neuroscience (243 citations) and Behavioral Neuroscience (38 citations). Miguel Skirzewski has collaborated with scholars based in United States, Canada and Venezuela. Frequent co-authors include Andrés Buonanno, Pedro Rada, B. Sofia Beas, Yan Leng, Veronica A. Alvarez, Jung Ho Hyun, Mario A. Penzo, Hyung-Bae Kwon, Alexxai V. Kravitz and Detlef Vullhorst. Their work appears in journals such as Nature Communications, Nature Neuroscience and Cell Metabolism.

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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