Michelle M. Sidor

25 total papers · 1.1k total citations
16 papers, 651 citations indexed

About

Michelle M. Sidor is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience. According to data from OpenAlex, Michelle M. Sidor has authored 16 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Endocrine and Autonomic Systems and 5 papers in Cognitive Neuroscience. Recurrent topics in Michelle M. Sidor's work include Circadian rhythm and melatonin (6 papers), Stress Responses and Cortisol (4 papers) and Neuroendocrine regulation and behavior (4 papers). Michelle M. Sidor is often cited by papers focused on Circadian rhythm and melatonin (6 papers), Stress Responses and Cortisol (4 papers) and Neuroendocrine regulation and behavior (4 papers). Michelle M. Sidor collaborates with scholars based in United States, Canada and Israel. Michelle M. Sidor's co-authors include Glenda MacQueen, Colleen A. McClung, Jane A. Foster, Laurent Coque, Joseph Macri, David A. Ballok, Boris Šakić, Curtis Oleschuk, Joseph S. Takahashi and Miguel A. L. Nicolelis and has published in prestigious journals such as Journal of Neuroscience, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

Michelle M. Sidor

16 papers receiving 630 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michelle M. Sidor 274 145 113 113 108 16 651
Elena Marino 201 0.7× 106 0.7× 102 0.9× 113 1.0× 227 2.1× 15 707
Tony E. Larkin 143 0.5× 98 0.7× 107 0.9× 141 1.2× 88 0.8× 21 752
Olena V. Bogdanova 184 0.7× 127 0.9× 91 0.8× 126 1.1× 76 0.7× 17 742
Gerald Hüther 122 0.4× 62 0.4× 122 1.1× 88 0.8× 51 0.5× 30 610
Ulrike Moser 88 0.3× 184 1.3× 34 0.3× 190 1.7× 113 1.0× 28 636
Emine Eren‐Koçak 334 1.2× 107 0.7× 186 1.6× 71 0.6× 25 0.2× 21 745
Hazel Platt 94 0.3× 119 0.8× 37 0.3× 71 0.6× 130 1.2× 18 590
Ajaykumar N. Sharma 138 0.5× 193 1.3× 131 1.2× 52 0.5× 67 0.6× 14 667
Renate Stauch 184 0.7× 246 1.7× 38 0.3× 337 3.0× 48 0.4× 16 727
Doaa H. Hewedi 192 0.7× 92 0.6× 22 0.2× 286 2.5× 21 0.2× 23 777

Countries citing papers authored by Michelle M. Sidor

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Sidor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. Sidor. 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 Michelle M. Sidor. The network helps show where Michelle M. Sidor may publish in the future.

Co-authorship network of co-authors of Michelle M. Sidor

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

All Works

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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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