M. Davis

3.8k total citations · 2 hit papers
37 papers, 3.1k citations indexed

About

M. Davis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, M. Davis has authored 37 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in M. Davis's work include Neuroscience and Neuropharmacology Research (9 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Stress Responses and Cortisol (6 papers). M. Davis is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Stress Responses and Cortisol (6 papers). M. Davis collaborates with scholars based in United States, Germany and Japan. M. Davis's co-authors include Serge Campeau, John H. Kehne, James V. Cassella, Keng‐Chen Liang, Douglas C. Stahl, Christian Grillon, Ryan G. Parsons, Dennis S. Charney, John H. Krystal and Charles A. Morgan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

M. Davis

35 papers receiving 3.0k citations

Hit Papers

A primary acoustic startle circuit: lesion and stimulatio... 1982 2026 1996 2011 1982 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Davis United States 21 1.6k 1.5k 838 587 525 37 3.1k
D. A. Powell United States 33 1.6k 1.0× 2.1k 1.4× 635 0.8× 505 0.9× 375 0.7× 144 3.4k
J.E. LeDoux United States 12 1.6k 1.0× 1.8k 1.2× 845 1.0× 569 1.0× 375 0.7× 17 2.6k
Bruce S. Kapp United States 29 2.1k 1.3× 2.3k 1.6× 930 1.1× 695 1.2× 607 1.2× 63 3.6k
J. N. P. Rawlins United Kingdom 33 2.4k 1.5× 2.6k 1.7× 660 0.8× 442 0.8× 474 0.9× 52 3.7k
Janice L. Muir United Kingdom 27 2.3k 1.4× 2.7k 1.8× 618 0.7× 558 1.0× 774 1.5× 40 4.0k
William A. Falls United States 32 2.0k 1.3× 1.8k 1.2× 1.4k 1.6× 862 1.5× 673 1.3× 64 3.5k
Georges Di Scala France 33 1.6k 1.0× 1.5k 1.0× 433 0.5× 445 0.8× 390 0.7× 95 2.6k
Robert N. Leaton United States 29 1.0k 0.6× 1.4k 0.9× 496 0.6× 425 0.7× 241 0.5× 58 2.4k
Franco Mascagni United States 35 2.7k 1.6× 2.3k 1.5× 961 1.1× 1.0k 1.7× 701 1.3× 56 3.7k
Carlos Tomaz Brazil 35 1.5k 0.9× 1.7k 1.2× 583 0.7× 1.0k 1.8× 667 1.3× 200 4.2k

Countries citing papers authored by M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of M. Davis. A scholar is included among the top collaborators of M. Davis 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 M. Davis. M. Davis 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.
Parsons, Ryan G. & M. Davis. (2012). A Metaplasticity-Like Mechanism Supports the Selection of Fear Memories: Role of Protein Kinase A in the Amygdala. Journal of Neuroscience. 32(23). 7843–7851. 44 indexed citations
2.
Davis, M., Elena Antoniadis, David G. Amaral, & J. T. Winslow. (2008). Acoustic Startle Reflex in Rhesus Monkeys: A Review. Reviews in the Neurosciences. 19(2-3). 171–85. 59 indexed citations
3.
Grandt, Daniel, M. Schimiczek, Wolfgang Rascher, et al.. (1996). Neuropeptide Y 3–36 is an endogenous ligand selective for Y2 receptors. Regulatory Peptides. 67(1). 33–37. 55 indexed citations
4.
Morgan, Charles A., Christian Grillon, Steven M. Southwick, et al.. (1995). Yohimbine facilitated acoustic startle in combat veterans with post-traumatic stress disorder. Psychopharmacology. 117(4). 466–471. 61 indexed citations
5.
Davis, M., et al.. (1995). Microscale Immobilized Protease Reactor Columns for Peptide Mapping by Liquid Chromatography/Mass Spectral Analyses. Analytical Biochemistry. 224(1). 235–244. 40 indexed citations
6.
Campeau, Serge & M. Davis. (1995). Prepulse inhibition of the acoustic startle reflex using visual and auditory prepulses: disruption by apomorphine. Psychopharmacology. 117(3). 267–274. 55 indexed citations
7.
Chen, Yuling, et al.. (1994). Degradation of vasoactive intestinal polypeptide by rabbit gastric smooth muscle membranes. Peptides. 15(2). 323–332. 9 indexed citations
8.
Rahbar, S., T D Lee, M. Davis, William Novotny, & Helen M. Ranney. (1994). A second case of Hb hanamaki [α2139 (HC1) LYS→GLU β2] in an american family with erythrocytosis. Hemoglobin. 18(3). 221–226. 3 indexed citations
9.
Morgan, Charles A., Stephen M. Southwick, Christian Grillon, et al.. (1993). Yohimbine — facilitated acoustic startle reflex in humans. Psychopharmacology. 110(3). 342–346. 77 indexed citations
11.
Davis, M., Vikram N. Vakharia, J. Henry, Thomas G. Kempe, & Ashok K. Raina. (1992). Molecular cloning of the pheromone biosynthesis-activating neuropeptide in Helicoverpa zea.. Proceedings of the National Academy of Sciences. 89(1). 142–146. 63 indexed citations
12.
Liang, Keng‐Chen, et al.. (1992). Corticotropin-releasing factor: long-lasting facilitation of the acoustic startle reflex. Journal of Neuroscience. 12(6). 2303–2312. 180 indexed citations
13.
Davis, M., James V. Cassella, & John H. Kehne. (1988). Serotonin does not mediate anxiolytic effects of buspirone in the fear-potentiated startle paradigm: comparison with 8-OH-DPAT and ipsapirone. Psychopharmacology. 94(1). 14–20. 80 indexed citations
14.
Kehne, John H., James V. Cassella, & M. Davis. (1988). Anxiolytic effects of buspirone and gepirone in the fear-potentiated startle paradigm. Psychopharmacology. 94(1). 8–13. 82 indexed citations
15.
Davis, M.. (1987). Mescaline: excitatory effects on acoustic startle are blocked by serotonin2 antagonists. Psychopharmacology. 93(3). 286–91. 19 indexed citations
16.
Davis, M., John H. Kehne, & Randall L. Commissaris. (1985). Antagonism of apomorphine-enhanced startle by α1-adrenergic antagonists. European Journal of Pharmacology. 108(3). 233–241. 20 indexed citations
17.
Vibert, J.-F., M. Davis, & J. P. Segundo. (1979). Recurrent inhibition: Its influence upon transduction and afferent discharges in slowly-adapting stretch receptor organs. Biological Cybernetics. 33(3). 167–178. 9 indexed citations
18.
Davis, M. & George R. Heninger. (1972). Comparison of response plasticity between the eyeblink and vertex potential in humans. Electroencephalography and Clinical Neurophysiology. 33(3). 283–293. 24 indexed citations
19.
Greene, Nicholas M., et al.. (1959). EFFECTS OF GENERAL ANESTHETICS ON TISSUE OXYGEN TENSION IN MAN. Anesthesiology. 20(6). 830–835. 3 indexed citations
20.
Greene, Nicholas M., et al.. (1959). Skin oxygen tension during administration of epinephrine and norepinephrine to normal man.. PubMed. 32. 93–9. 3 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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