Megan Crow

4.5k citations
21 papers · 1.2k · h-index 16

Impact in

Papers in

    • Single-cell and spatial transcriptomics 13
    • Bioinformatics and Genomic Networks 4
    • Histone Deacetylase Inhibitors Research 3
    • Gene expression and cancer classification 3
    • Gene Regulatory Network Analysis 3
    • Signaling Pathways in Disease 2
    • Neuroinflammation and Neurodegeneration Mechanisms 7

Megan Crow

21 papers receiving 1.2k citations

Peers

Megan Crow
Comparison fields: 5 of 93
  • Neurology 178
  • Cellular and Molecular Neuroscience 335
  • Developmental Neuroscience 69
  • Biophysics 66
  • Physiology 285
Replace Gerard M. J. Beaudoin with:
Gerard M. J. Beaudoin United States
Witold Konopka Poland
Vidhya Rangaraju Germany
Lukasz Swiech Poland
Anirban Paul United States
Karine Pozo United States
Kirsten Arndt Germany
Emelie Braun Sweden
Katalin Schlett Hungary
Megan Crow relative to Gerard M. J. Beaudoin United States Gerard M. J. Beaudoin's profile →
Citations per field
00.5×2.5×
Gerard M. J. Beaudoin · 1×
Citations per year

Countries citing papers authored by Megan Crow

Since Specialization
Citations

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

Fields of papers citing papers by Megan Crow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017268
2 2018165
3 2013133
4 2016105
5 201492
6 201976
7 201854
8 201352
9 201647
10 200840
11 201530
12 201829
13 202028
14 202219
15 202118
16 202117
17 201910
18 20239
19 20236
20 20234

About Megan Crow

Megan Crow is a scholar working on Molecular Biology, Neurology, Physiology, Cellular and Molecular Neuroscience and Pharmacology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Bioinformatics and Genomic Networks (4 papers), Pain Mechanisms and Treatments (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Neurology (178 citations), Cellular and Molecular Neuroscience (335 citations), Developmental Neuroscience (69 citations), Biophysics (66 citations) and Physiology (285 citations). Megan Crow has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jesse Gillis, Anirban Paul, Franziska Denk, Sara Ballouz, Stephen B. McMahon, Ricardo Raudales, Z. Josh Huang, Miao He, Zhi Huang and Douglas M. Lopes. Their work appears in journals such as Nature Communications, Pain, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Genome Medicine.

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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