Michael M. Morgan

6.1k total citations
125 papers, 4.4k citations indexed

About

Michael M. Morgan is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Michael M. Morgan has authored 125 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Physiology, 68 papers in Cellular and Molecular Neuroscience and 28 papers in Cognitive Neuroscience. Recurrent topics in Michael M. Morgan's work include Pain Mechanisms and Treatments (93 papers), Neuropeptides and Animal Physiology (37 papers) and Neurotransmitter Receptor Influence on Behavior (31 papers). Michael M. Morgan is often cited by papers focused on Pain Mechanisms and Treatments (93 papers), Neuropeptides and Animal Physiology (37 papers) and Neurotransmitter Receptor Influence on Behavior (31 papers). Michael M. Morgan collaborates with scholars based in United States, Germany and United Kingdom. Michael M. Morgan's co-authors include Mary M. Heinricher, Vı́ctor Tortorici, Susan Ingram, Howard L. Fields, John C. Liebeskind, MacDonald J. Christie, Erin N. Bobeck, Ram Kandasamy, Sue A. Aicher and Rebecca M. Craft and has published in prestigious journals such as PLoS ONE, NeuroImage and Current Biology.

In The Last Decade

Michael M. Morgan

121 papers receiving 4.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael M. Morgan United States 40 2.9k 2.6k 994 875 651 125 4.4k
Edita Navratilova United States 34 2.0k 0.7× 1.5k 0.6× 865 0.9× 846 1.0× 501 0.8× 101 3.7k
Khem Jhamandas Canada 41 1.9k 0.7× 3.4k 1.3× 2.0k 2.1× 776 0.9× 570 0.9× 154 5.1k
Mary M. Heinricher United States 43 4.6k 1.6× 3.3k 1.3× 1.2k 1.2× 1.6k 1.8× 884 1.4× 94 6.4k
Guangchen Ji United States 33 2.0k 0.7× 1.7k 0.7× 596 0.6× 701 0.8× 495 0.8× 73 3.3k
Venetia Zachariou United States 39 1.5k 0.5× 2.9k 1.1× 2.8k 2.9× 814 0.9× 513 0.8× 92 5.7k
Christopher W. Vaughan Australia 45 2.5k 0.9× 3.6k 1.4× 2.1k 2.1× 740 0.8× 1.8k 2.8× 106 5.9k
Thomas Tzschentke Germany 39 1.8k 0.6× 4.4k 1.7× 2.1k 2.1× 1.7k 1.9× 789 1.2× 98 6.7k
Scott Edwards United States 36 953 0.3× 2.5k 1.0× 1.1k 1.1× 710 0.8× 540 0.8× 115 4.4k
Gregory A. Ordway United States 43 950 0.3× 2.4k 0.9× 1.6k 1.7× 533 0.6× 585 0.9× 128 5.5k
Gregory I. Elmer United States 36 1.0k 0.3× 2.5k 1.0× 1.4k 1.4× 705 0.8× 1.2k 1.8× 95 5.3k

Countries citing papers authored by Michael M. Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Morgan. A scholar is included among the top collaborators of Michael M. Morgan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael M. Morgan. Michael M. Morgan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Morgan, Michael M., et al.. (2024). Diurnal sex differences in morphine withdrawal revealed by continuous assessment of voluntary home cage wheel running in the rat. Behavioural Brain Research. 472. 115169–115169. 1 indexed citations
2.
Craft, Rebecca M., et al.. (2023). Impact of continuous testosterone exposure on reproductive physiology, activity, and pain-related behavior in young adult female rats. Hormones and Behavior. 158. 105469–105469. 1 indexed citations
3.
Morgan, Michael M., et al.. (2023). Low-Dose Δ9-THC Produces Antinociception in Female, But Not Male Rats. Cannabis and Cannabinoid Research. 8(4). 603–607. 4 indexed citations
4.
Morgan, Michael M., et al.. (2021). Tetrahydrocannabinol (THC) Exacerbates Inflammatory Bowel Disease in Adolescent and Adult Female Rats. Journal of Pain. 22(9). 1040–1047. 4 indexed citations
5.
6.
Hegarty, Deborah M., Sam M. Hermes, Michael M. Morgan, & Sue A. Aicher. (2018). Acute hyperalgesia and delayed dry eye after corneal abrasion injury. PAIN Reports. 3(4). e664–e664. 25 indexed citations
7.
Kandasamy, Ram, et al.. (2017). Anti-migraine effect of ∆9-tetrahydrocannabinol in the female rat. European Journal of Pharmacology. 818. 271–277. 39 indexed citations
8.
Kandasamy, Ram, et al.. (2017). Depression of home cage wheel running: a reliable and clinically relevant method to assess migraine pain in rats. The Journal of Headache and Pain. 18(1). 5–5. 39 indexed citations
9.
Morgan, Michael M., et al.. (2014). Functionally Selective Signaling for Morphine and Fentanyl Antinociception and Tolerance Mediated by the Rat Periaqueductal Gray. PLoS ONE. 9(12). e114269–e114269. 17 indexed citations
10.
Morgan, Michael M., et al.. (2014). Opioid Selective Antinociception Following Microinjection Into the Periaqueductal Gray of the Rat. Journal of Pain. 15(11). 1102–1109. 21 indexed citations
11.
Bobeck, Erin N., QiLiang Chen, Michael M. Morgan, & Susan Ingram. (2014). Contribution of Adenylyl Cyclase Modulation of Pre- and Postsynaptic GABA Neurotransmission to Morphine Antinociception and Tolerance. Neuropsychopharmacology. 39(9). 2142–2152. 38 indexed citations
12.
Morgan, Michael M. & MacDonald J. Christie. (2011). Analysis of opioid efficacy, tolerance, addiction and dependence from cell culture to human. British Journal of Pharmacology. 164(4). 1322–1334. 203 indexed citations
13.
Cornélio, Alianda Maira, et al.. (2011). Environmentally induced antinociception and hyperalgesia in rats and mice. Brain Research. 1415. 56–62. 15 indexed citations
14.
15.
Morgan, Michael M., Eigil Fossum, Corinna G. Levine, & Susan Ingram. (2006). Antinociceptive tolerance revealed by cumulative intracranial microinjections of morphine into the periaqueductal gray in the rat. Pharmacology Biochemistry and Behavior. 85(1). 214–219. 58 indexed citations
16.
Morgan, Michael M., et al.. (2006). Morphine Antinociceptive Potency on Chemical, Mechanical, and Thermal Nociceptive Tests in the Rat. Journal of Pain. 7(5). 358–366. 71 indexed citations
17.
Solomon, Joshua A., et al.. (2005). Stimulus contrast and the Reichardt detector. Vision Research. 45(16). 2109–2117. 5 indexed citations
18.
Lane, Diane, et al.. (2005). Evidence for an intrinsic mechanism of antinociceptive tolerance within the ventrolateral periaqueductal gray of rats. Neuroscience. 135(1). 227–234. 71 indexed citations
19.
Morgan, Michael M., et al.. (1997). Antinociception mediated by the periaqueductal gray is attenuated by orphanin FQ. Neuroreport. 8(16). 3431–3434. 98 indexed citations
20.
Morgan, Michael M., Michael S. Gold, John C. Liebeskind, & Christoph Stein. (1991). Periaqueductal gray stimulation produces a spinally mediated, opioid antinociception for the inflamed hindpaw of the rat. Brain Research. 545(1-2). 17–23. 61 indexed citations

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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