Tom Macpherson

812 citations
21 papers · 512 · h-index 11

Impact in

    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Tactile and Sensory Interactions
    • Functional Brain Connectivity Studies
    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior

Papers in

Tom Macpherson

20 papers receiving 496 citations

Peers

Tom Macpherson
Comparison fields: 5 of 95
  • Cognitive Neuroscience 258
  • Cellular and Molecular Neuroscience 226
  • Behavioral Neuroscience 39
  • Biological Psychiatry 17
  • Experimental and Cognitive Psychology 71
Replace Michele Ferrante with:
Michele Ferrante United States
Chia-Jung Chang Taiwan
Elise Demeter United States
Sébastien Delcasso France
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Tim Indersmitten United States
Yohan J. John United States
Debha N. Amatya United States
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Citations per field
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Citations per year

Countries citing papers authored by Tom Macpherson

Since Specialization
Citations

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

Fields of papers citing papers by Tom Macpherson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Macpherson, 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 Tom Macpherson Line = papers co-authored together Tom Macpherson 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 202175
2 201973
3 201467
4 201666
5 201156
6 201451
7 201620
8 202318
9 201815
10 202114
11 201910
12 20229
13 20218
14 20208
15 20207
16 20235
17 20195
18 20223
19 20231
20 20231

About Tom Macpherson

Tom Macpherson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Social Psychology and Physiology, having authored 21 papers that have together received 512 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (4 papers), Neuroendocrine regulation and behavior (3 papers), Adipose Tissue and Metabolism (2 papers) and Biotin and Related Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (258 citations), Cellular and Molecular Neuroscience (226 citations), Behavioral Neuroscience (39 citations), Biological Psychiatry (17 citations) and Experimental and Cognitive Psychology (71 citations). Tom Macpherson has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takatoshi Hikida, Makiko Morita, David J. Brown, Jamie Ward, Anne K. Churchland, James J. DiCarlo, Hidehiko Takahashi, Yukiyasu Kamitani, Sarah L. King and Jeremy J. Lambert. Their work appears in journals such as Neuroscience Research, Frontiers in Neuroscience, Neural Networks, eNeuro and Scientific Reports.

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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