M.E. Olds

2.5k citations
64 papers · 2.0k · h-index 21

Impact in

    • Neurotransmitter Receptor Influence on Behavior
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology
    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
    • Sleep and Wakefulness Research

Papers in

M.E. Olds

64 papers receiving 1.8k citations

Peers

M.E. Olds
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 834
  • Behavioral Neuroscience 117
  • Endocrine and Autonomic Systems 159
  • Sensory Systems 107
Replace James R. Stellar with:
James R. Stellar United States
Chi Yiu Yim Canada
Manjit K. Sanghera United States
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Darryl B. Neill United States
Michael S. Cousins United States
Larry A. Grupp Canada
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Citations per field
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Citations per year

Countries citing papers authored by M.E. Olds

Since Specialization
Citations

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

Fields of papers citing papers by M.E. Olds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M.E. Olds, 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 M.E. Olds Line = papers co-authored together M.E. Olds links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963425
2 1982210
3 1962113
4 1981108
5 197978
6 197964
7 198062
8 196961
9 196849
10 198148
11 196648
12 197247
13 197041
14 196440
15 195837
16 196928
17 197325
18 199024
19 197421
20 196121

About M.E. Olds

M.E. Olds is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Physiology, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (30 papers), Neuroscience and Neuropharmacology Research (22 papers), Memory and Neural Mechanisms (11 papers), Neurological disorders and treatments (10 papers), Sleep and Wakefulness Research (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Receptor Mechanisms and Signaling (9 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cognitive Neuroscience (834 citations), Behavioral Neuroscience (117 citations), Endocrine and Autonomic Systems (159 citations) and Sensory Systems (107 citations). M.E. Olds has collaborated with scholars based in United States and Japan. Frequent co-authors include John Olds, Edward F. Domino, Dorwin Birt, Edward F. Domino, Arthur Yuwiler, Robert Nienhuis, David Jacques, Oleg V. Kopyov, Michel Le Moal and Chang‐Ho Yun. Their work appears in journals such as Brain Research, Neuropharmacology, Psychopharmacology, Pharmacology Biochemistry and Behavior and Experimental Neurology.

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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