Michaela Macrae

716 citations
17 papers · 522 · h-index 12

Impact in

Papers in

Michaela Macrae

17 papers receiving 509 citations

Peers

Michaela Macrae
Comparison fields: 5 of 70
  • Behavioral Neuroscience 80
  • Cognitive Neuroscience 388
  • Cellular and Molecular Neuroscience 257
  • Sensory Systems 49
  • Neurology 60
Replace Ying‐Wan Lam with:
Ying‐Wan Lam United States
Robert Numan United States
Lisa M. Gunther United States
Marius C. Smith United States
Liisa A. Tremere United States
D. C. Blanchard United States
Bénédicte M. Babayan United States
A. Chaudhuri Canada
Nicole Chapuis France
Shahin Zangenehpour Canada
Michaela Macrae relative to Ying‐Wan Lam United States Ying‐Wan Lam's profile →
Citations per field
00.5×1.5×2.2×
Ying‐Wan Lam · 1×
Citations per year

Countries citing papers authored by Michaela Macrae

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Macrae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michaela Macrae, 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 Michaela Macrae Line = papers co-authored together Michaela Macrae links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1992118
2 199292
3 199475
4 199035
5 199731
6 199928
7 199324
8 199523
9 199421
10 199419
11 199616
12 199912
13 19979
14 19908
15 20005
16 19953
17 19933

About Michaela Macrae

Michaela Macrae is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Developmental and Educational Psychology and Molecular Biology, having authored 17 papers that have together received 522 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (5 papers), Olfactory and Sensory Function Studies (2 papers), Child and Animal Learning Development (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Behavioral Neuroscience (80 citations), Cognitive Neuroscience (388 citations), Cellular and Molecular Neuroscience (257 citations), Sensory Systems (49 citations) and Neurology (60 citations). Michaela Macrae has collaborated with scholars based in Australia, South Africa and United States. Frequent co-authors include E. James Kehoe, Amanda Owen Van Horne, Robert P. Millar, James S. Davidson, P. Anton van der Merwe, Rachel M. Guthrie, I. Gormezano, Pascal Carrive, George Paxinos and Bernard G. Schreurs. Their work appears in journals such as FEBS Letters, Behavioural Brain Research, Biochemical Journal, Behavior Therapy and Adaptive Behavior.

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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