Mary E. Morris

936 citations
25 papers · 671 · h-index 13

Impact in

Papers in

Mary E. Morris

24 papers receiving 654 citations

Peers

Mary E. Morris
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 462
  • Endocrine and Autonomic Systems 95
  • Cognitive Neuroscience 160
  • Aging 14
  • Developmental Neuroscience 23
Replace Fannie St-Gelais with:
Fannie St-Gelais Canada
J.F.M. Van Uum Netherlands
Jens D. Mikkelsen Denmark
Alexandre Stipanovich France
Ezequiel Marrón Fernández de Velasco United States
Michael V. Hogan United States
Sehyoun Yoon United States
Richard S. Saliba United Kingdom
Annica Dahlstr�m Sweden
Brian Vukusic Canada
Mary E. Morris relative to Fannie St-Gelais Canada Fannie St-Gelais's profile →
Citations per field
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Fannie St-Gelais · 1×
Citations per year

Countries citing papers authored by Mary E. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Morris. 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 Mary E. Morris. The network helps show where Mary E. Morris may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198097
2 199887
3 198277
4 202251
5 198247
6 202147
7 199344
8 198643
9 199638
10 199127
11 198523
12 199516
13 199413
14 19819
15 19938
16 19897
17 19857
18 19786
19 19895
20 20225

About Mary E. Morris

Mary E. Morris is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 671 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (5 papers), Ion channel regulation and function (3 papers), Reproductive Biology and Fertility (3 papers), Analytical Chemistry and Sensors (3 papers), Neonatal and fetal brain pathology (2 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (462 citations), Endocrine and Autonomic Systems (95 citations), Cognitive Neuroscience (160 citations), Aging (14 citations) and Developmental Neuroscience (23 citations). Mary E. Morris has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include K. Krnjević, R. J. Reiffenstein, Andrei S. Rosen, Nicole Ropert, Gabriela V. Obrocea, Fred C. Davis, Sandra J. Kuhlman, N. Viswanathan, Charles J. Weitz and Massimo Avoli. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Neuroscience, Experimental Brain Research, Journal of Neurophysiology and Science.

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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