Megan C. Wright

36 papers receiving 1.0k citations

Peers

Megan C. Wright
Comparison fields: 5 of 78
  • Developmental Neuroscience 215
  • Endocrine and Autonomic Systems 272
  • Cellular and Molecular Neuroscience 465
  • Pathology and Forensic Medicine 326
  • Genetics 166
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Kajana Satkunendrarajah Canada
Jacqueline C. Bresnahan United States
Andrew Craig United States
Marc E. Eichler United States
Ivo Vanický Slovakia
Ward T. Plunet Canada
Darryl C. Baptiste Canada
Andrea C. Pardo United States
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Citations per field
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Citations per year

Countries citing papers authored by Megan C. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Megan C. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013132
2 201284
3 201565
4 201464
5 201263
6 201362
7 201455
8 200953
9 201845
10 201836
11 202335
12 201432
13 200732
14 201030
15 201530
16 200729
17 201925
18 201918
19 201917
20 201917

About Megan C. Wright

Megan C. Wright is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Molecular Biology and Surgery, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (16 papers), Spinal Cord Injury Research (15 papers), Nerve injury and regeneration (9 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Neurogenetic and Muscular Disorders Research (7 papers), Neonatal Respiratory Health Research (7 papers), Congenital Diaphragmatic Hernia Studies (6 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Developmental Neuroscience (215 citations), Endocrine and Autonomic Systems (272 citations), Cellular and Molecular Neuroscience (465 citations), Pathology and Forensic Medicine (326 citations) and Genetics (166 citations). Megan C. Wright has collaborated with scholars based in United States, Belgium and Portugal. Frequent co-authors include Angelo C. Lepore, Tamara J. Hala, Young‐Jin Son, Ahmet Höke, Charles Nicaise, Jean‐Pierre Brion, Thomas M. Brushart, Alka Vyas, Biswarup Ghosh and Mark W. Urban. Their work appears in journals such as Experimental Neurology, Neurobiology of Disease, Journal of Neuroscience, Journal of Visualized Experiments and Journal of Neurotrauma.

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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