MT Shipley

1.8k citations
19 papers · 1.6k · h-index 16

Impact in

Papers in

MT Shipley

19 papers receiving 1.5k citations

Peers

MT Shipley
Comparison fields: 5 of 78
  • Sensory Systems 506
  • Cellular and Molecular Neuroscience 870
  • Behavioral Neuroscience 128
  • Developmental Neuroscience 130
  • Endocrine and Autonomic Systems 180
Replace José de Olmos with:
José de Olmos Argentina
O. Eugene Millhouse United States
Carol A. Bennett‐Clarke United States
Karen M. Hurley United States
Kimberly L. Simpson United States
Carlos A. Beltramino Argentina
Katsuma Nakano Japan
Laura Kus United States
Nicolas L. Chiaia United States
Yasunobu Yasoshima Japan
MT Shipley relative to José de Olmos Argentina José de Olmos's profile →
Citations per field
00.5×1.5×
José de Olmos · 1×
Citations per year

Countries citing papers authored by MT Shipley

Since Specialization
Citations

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

Fields of papers citing papers by MT Shipley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1991466
2 1987169
3 1988151
4 199990
5 199690
6 198574
7 199371
8 198771
9 199164
10 198763
11 198863
12 198862
13 200149
14 198733
15 199632
16 199327
17 19939
18
Frequency potentiation of a central cholinergic circuit.
19877
19 19871

About MT Shipley

MT Shipley is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (10 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Memory and Neural Mechanisms (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Neuroscience of respiration and sleep (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Sensory Systems (506 citations), Cellular and Molecular Neuroscience (870 citations), Behavioral Neuroscience (128 citations), Developmental Neuroscience (130 citations) and Endocrine and Autonomic Systems (180 citations). MT Shipley has collaborated with scholars based in United States, Bulgaria and France. Frequent co-authors include W.T. Nickell, Matthew J. Ennis, H. Akaoka, Guy Drolet, Vincent A. Pieribone, P. J. Charléty, Bernadette Astier, Gary Aston‐Jones, John T. Williams and Rita J. Valentino. Their work appears in journals such as Journal of Neuroscience, Neuroscience, Annals of the New York Academy of Sciences, Progress in brain research and Brain Research Bulletin.

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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