Michelle E. Page

24 papers receiving 2.1k citations

Peers

Michelle E. Page
Comparison fields: 5 of 99
  • Behavioral Neuroscience 814
  • Biological Psychiatry 342
  • Cellular and Molecular Neuroscience 1.1k
  • Endocrine and Autonomic Systems 144
  • Social Psychology 457
Replace Carla Gambarana with:
Carla Gambarana Italy
A. Dalvi United Kingdom
Carolina López‐Rubalcava Mexico
C. Gentsch Switzerland
Krzysztof Wędzony Poland
Shanaz M. Tejani‐Butt United States
John P. Redrobe Denmark
Katerina Antoniou Greece
Lynn G. Kirby United States
Julie G. Hensler United States
Michelle E. Page relative to Carla Gambarana Italy Carla Gambarana's profile →
Citations per field
00.5×1.6×
Carla Gambarana · 1×
Citations per year

Countries citing papers authored by Michelle E. Page

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005292
2 1993260
3 1991230
4 2004210
5 2002168
6 2007162
7 1997108
8 1993100
9 200696
10 199990
11 200278
12 199475
13 201060
14 199745
15 200638
16 200338
17 200332
18 200531
19 200820
20 199914

About Michelle E. Page

Michelle E. Page is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Molecular Biology, Biological Psychiatry and Cognitive Neuroscience, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Stress Responses and Cortisol (8 papers), Receptor Mechanisms and Signaling (7 papers), Neural dynamics and brain function (3 papers), Tryptophan and brain disorders (3 papers), Neuroendocrine regulation and behavior (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Behavioral Neuroscience (814 citations), Biological Psychiatry (342 citations), Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (144 citations) and Social Psychology (457 citations). Michelle E. Page has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Rita J. Valentino, Irwin Lucki, John F. Cryan, Stephen L. Foote, Andre L. Curtis, Elizabeth D. Abercrombie, Olivia F. O’Leary, Barry D. Waterhouse, David M. Devilbiss and Ashutosh Dalvi. Their work appears in journals such as Psychopharmacology, Journal of Pharmacology and Experimental Therapeutics, Brain Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Advances in pharmacology.

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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