Michael W. Conway

603 total citations
16 papers, 471 citations indexed

About

Michael W. Conway is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Michael W. Conway has authored 16 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Michael W. Conway's work include Neuroscience and Neuropharmacology Research (7 papers), Analytical Methods in Pharmaceuticals (3 papers) and Memory and Neural Mechanisms (3 papers). Michael W. Conway is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Analytical Methods in Pharmaceuticals (3 papers) and Memory and Neural Mechanisms (3 papers). Michael W. Conway collaborates with scholars based in United Kingdom, United States and Ireland. Michael W. Conway's co-authors include Gary Gilmour, John Lowry, Mark D. Tricklebank, Pushkar N. Kaul, Jennifer François, Michael F. O‘Neill, Keeley L. Baker, Jack R. Mellor, John Isaac and Keith G. Phillips and has published in prestigious journals such as Nature, Journal of Neuroscience and NeuroImage.

In The Last Decade

Michael W. Conway

16 papers receiving 453 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 W. Conway United Kingdom 11 284 206 148 54 33 16 471
Wia Timmerman Netherlands 14 548 1.9× 165 0.8× 328 2.2× 115 2.1× 30 0.9× 26 931
A. Zanotti Italy 15 264 0.9× 105 0.5× 336 2.3× 40 0.7× 14 0.4× 35 641
Jouni Ihalainen Finland 13 466 1.6× 223 1.1× 215 1.5× 125 2.3× 79 2.4× 24 793
Ivan Dittert Czechia 10 334 1.2× 58 0.3× 234 1.6× 54 1.0× 35 1.1× 16 631
Michael L. Cornfeldt United States 15 474 1.7× 130 0.6× 400 2.7× 122 2.3× 17 0.5× 25 932
Helen L. Rowley United Kingdom 13 468 1.6× 129 0.6× 173 1.2× 80 1.5× 40 1.2× 18 678
H�kan Hall Sweden 8 481 1.7× 77 0.4× 286 1.9× 86 1.6× 33 1.0× 8 728
Alessandra Bonito‐Oliva United States 10 202 0.7× 74 0.4× 240 1.6× 131 2.4× 46 1.4× 11 681
Holly C. Hunsberger United States 13 255 0.9× 84 0.4× 120 0.8× 99 1.8× 91 2.8× 26 566
R.A. Webster United Kingdom 14 321 1.1× 67 0.3× 147 1.0× 26 0.5× 13 0.4× 46 574

Countries citing papers authored by Michael W. Conway

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Conway

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Conway. A scholar is included among the top collaborators of Michael W. Conway 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 W. Conway. Michael W. Conway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Baker, Keeley L., Michael W. Conway, Gary Gilmour, et al.. (2017). Coordinated Acetylcholine Release in Prefrontal Cortex and Hippocampus Is Associated with Arousal and Reward on Distinct Timescales. Cell Reports. 18(4). 905–917. 116 indexed citations
2.
François, Jennifer, François Gastambide, Michael W. Conway, Mark D. Tricklebank, & Gary Gilmour. (2015). Dissociation of mGlu2/3 agonist effects on ketamine-induced regional and event-related oxygen signals. Psychopharmacology. 232(21-22). 4219–4229. 4 indexed citations
3.
François, Jennifer, John R. Huxter, Michael W. Conway, et al.. (2014). Differential Contributions of Infralimbic Prefrontal Cortex and Nucleus Accumbens during Reward-Based Learning and Extinction. Journal of Neuroscience. 34(2). 596–607. 23 indexed citations
4.
Li, Jennifer, Keita Ishiwari, Michael W. Conway, et al.. (2014). Dissociable Effects of Antipsychotics on Ketamine-Induced Changes in Regional Oxygenation and Inter-Regional Coherence of Low Frequency Oxygen Fluctuations in the Rat. Neuropsychopharmacology. 39(7). 1635–1644. 20 indexed citations
5.
McHugh, Stephen B., André Marques–Smith, Jennifer Li, et al.. (2012). Hemodynamic responses in amygdala and hippocampus distinguish between aversive and neutral cues during Pavlovian fear conditioning in behaving rats. European Journal of Neuroscience. 37(3). 498–507. 18 indexed citations
6.
François, Jennifer, Michael W. Conway, John Lowry, Mark D. Tricklebank, & Gary Gilmour. (2012). Changes in reward-related signals in the rat nucleus accumbens measured by in vivo oxygen amperometry are consistent with fMRI BOLD responses in man. NeuroImage. 60(4). 2169–2181. 28 indexed citations
7.
Bolger, Fiachra B., Stephen B. McHugh, Jennifer Li, et al.. (2010). Characterisation of carbon paste electrodes for real-time amperometric monitoring of brain tissue oxygen. Journal of Neuroscience Methods. 195(2). 135–142. 53 indexed citations
8.
Gilmour, Gary, Elsa Y. Pioli, Sophie Dix, et al.. (2009). Diverse and often opposite behavioural effects of NMDA receptor antagonists in rats: implications for “NMDA antagonist modelling” of schizophrenia. Psychopharmacology. 205(2). 203–216. 74 indexed citations
9.
O‘Neill, Michael F., et al.. (2003). Group II metabotropic glutamate receptor antagonists LY341495 and LY366457 increase locomotor activity in mice. Neuropharmacology. 45(5). 565–574. 35 indexed citations
10.
O‘Neill, Michael F., et al.. (2001). Selective imidazoline I2 ligands do not show antidepressant-like activity in the forced swim test in mice. Journal of Psychopharmacology. 15(1). 18–22. 34 indexed citations
11.
Lehr, Roland E. & Michael W. Conway. (1977). Mechanism of photolysis of (9-acridinylmethyl) quaternary ammonium salts. The Journal of Organic Chemistry. 42(16). 2726–2730. 2 indexed citations
12.
Kaul, Pushkar N., Michael W. Conway, Maharaj K. Ticku, & Mervin L. Clark. (1973). Chlorpromazine metabolism. 3. Determination of conjugated metabolites in the blood of schizophrenic patients.. PubMed. 81(3). 467–75. 3 indexed citations
13.
Kaul, Pushkar N., Michael W. Conway, Maharaj K. Ticku, & Mervin L. Clark. (1972). Chlorpromazine Metabolism II: Determination of Nonconjugated Metabolites in Blood of Schizophrenie Patients. Journal of Pharmaceutical Sciences. 61(4). 581–585. 10 indexed citations
14.
Kaul, Pushkar N. & Michael W. Conway. (1971). Induction and Inhibition of In Vivo Glucuronidation of Apomorphine in Mice. Journal of Pharmaceutical Sciences. 60(1). 93–95. 23 indexed citations
15.
Kaul, Pushkar N., et al.. (1970). Chlorpromazine Metabolism I: Quantitative Fluorometric Method for 11 Chlorpromazine Metabolites. Journal of Pharmaceutical Sciences. 59(12). 1745–1749. 19 indexed citations
16.
Kaul, Pushkar N., Michael W. Conway, & Mervin L. Clark. (1970). Sensitive Quantitative Determination of Chlorpromazine Metabolites. Nature. 226(5243). 372–373. 9 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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