Michael J. Hurley

2.2k total citations
62 papers, 1.6k citations indexed

About

Michael J. Hurley is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael J. Hurley has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Neurology and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael J. Hurley's work include Parkinson's Disease Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neurological disorders and treatments (9 papers). Michael J. Hurley is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neurological disorders and treatments (9 papers). Michael J. Hurley collaborates with scholars based in United Kingdom, United States and Ireland. Michael J. Hurley's co-authors include Deborah C. Mash, P. Jenner, David T. Dexter, Peter Jenner, Steve Gentleman, Alan L. Kelly, Paul L.H. McSweeney, C. D. Marsden, Carole M. Stubbs and Peter Jenner and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Brain.

In The Last Decade

Michael J. Hurley

61 papers receiving 1.6k 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 J. Hurley United Kingdom 23 520 445 402 272 174 62 1.6k
Carmela Conte Italy 31 446 0.9× 665 1.5× 444 1.1× 201 0.7× 91 0.5× 114 2.9k
Tomohiko Nakamura Japan 29 435 0.8× 775 1.7× 893 2.2× 258 0.9× 58 0.3× 156 2.7k
Vanessa Castelli Italy 31 284 0.5× 932 2.1× 260 0.6× 181 0.7× 78 0.4× 107 2.6k
Gregory Constantine United States 24 218 0.4× 464 1.0× 582 1.4× 132 0.5× 69 0.4× 64 2.2k
Xin Cheng China 27 365 0.7× 755 1.7× 460 1.1× 144 0.5× 50 0.3× 148 2.7k
Jie Dong China 25 166 0.3× 479 1.1× 165 0.4× 201 0.7× 148 0.9× 66 1.7k
Mehdi Farhoudi Iran 25 270 0.5× 614 1.4× 311 0.8× 144 0.5× 72 0.4× 157 2.5k
Wen Zhang China 27 670 1.3× 1.1k 2.6× 213 0.5× 106 0.4× 47 0.3× 108 2.8k
R Bombelli Italy 24 361 0.7× 435 1.0× 291 0.7× 262 1.0× 59 0.3× 57 1.8k
Hongxing Wang China 24 308 0.6× 395 0.9× 203 0.5× 164 0.6× 41 0.2× 107 2.0k

Countries citing papers authored by Michael J. Hurley

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Hurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Hurley

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Hurley. A scholar is included among the top collaborators of Michael J. Hurley 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 J. Hurley. Michael J. Hurley 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.
Zampieri, Guido, Léa Cabrol, Eduardo Castro‐Nallar, et al.. (2024). Microbiome alterations are associated with apolipoprotein E mutation in Octodon degus and humans with Alzheimer’s disease. iScience. 27(8). 110348–110348. 6 indexed citations
2.
Hurley, Michael J., Elisa Menozzi, Matthew E. Gegg, et al.. (2023). α-Synuclein expression in response to bacterial ligands and metabolites in gut enteroendocrine cells: an in vitro proof of concept study. Brain Communications. 5(6). fcad285–fcad285. 6 indexed citations
4.
Goodman, Aaron M., Lisa Kim, Kerry Fitzgerald, et al.. (2021). Assessing CAR T-Cell Therapy Response Using Genome-Wide Sequencing of Cell-Free DNA in Patients With B-Cell Lymphomas. Transplantation and Cellular Therapy. 28(1). 30.e1–30.e7. 18 indexed citations
5.
Altimiras, Francisco, José García, Michael J. Hurley, et al.. (2021). Altered Gut Microbiota in a Fragile X Syndrome Mouse Model. Frontiers in Neuroscience. 15. 653120–653120. 26 indexed citations
6.
Hurley, Michael J., Robert M. J. Deacon, Katrin Beyer, et al.. (2018). The long-lived Octodon degus as a rodent drug discovery model for Alzheimer's and other age-related diseases. Pharmacology & Therapeutics. 188. 36–44. 23 indexed citations
7.
Hurley, Michael J., et al.. (2016). Calcium Channel Antagonists as Disease-Modifying Therapy for Parkinson’s Disease: Therapeutic Rationale and Current Status. CNS Drugs. 30(12). 1127–1135. 26 indexed citations
8.
Deacon, Robert M. J., Larry Glass, Mike Snape, et al.. (2015). NNZ-2566, a Novel Analog of (1–3) IGF-1, as a Potential Therapeutic Agent for Fragile X Syndrome. NeuroMolecular Medicine. 17(1). 71–82. 55 indexed citations
9.
Hurley, Michael J., Steve Gentleman, & David T. Dexter. (2014). Calcium CaV1 Channel Subtype mRNA Expression in Parkinson’s Disease Examined by In Situ Hybridization. Journal of Molecular Neuroscience. 55(3). 715–724. 15 indexed citations
10.
O’Brien, William J., et al.. (2011). Cognitive task analysis of superintendent's work: Case study and critique of supporting information technologies. 16(31). 529–556. 14 indexed citations
11.
Hurley, Michael J., et al.. (2010). Receptor tyrosine phosphatase PTPγ is a regulator of spinal cord neurogenesis. Molecular and Cellular Neuroscience. 46(2). 469–482. 10 indexed citations
13.
Alam, Imran, et al.. (2007). Laparoscopic Management of Acutely Presenting Gastrointestinal Stromal Tumors: A Study of 9 Cases and Review of Literature. Journal of Laparoendoscopic & Advanced Surgical Techniques. 17(5). 626–633. 13 indexed citations
14.
Hurley, Michael J., Deborah C. Mash, & P. Jenner. (2003). Expression of cannabinoid CB 1 receptor mRNA in basal ganglia of normal and parkinsonian human brain. Journal of Neural Transmission. 110(11). 1279–1288. 82 indexed citations
15.
Hurley, Michael J., Deborah C. Mash, & Peter Jenner. (2003). Markers for dopaminergic neurotransmission in the cerebellum in normal individuals and patients with Parkinson's disease examined by RT‐PCR. European Journal of Neuroscience. 18(9). 2668–2672. 77 indexed citations
16.
Hurley, Michael J., Deborah C. Mash, & Peter Jenner. (2001). Dopamine D1 receptor expression in human basal ganglia and changes in Parkinson’s disease. Molecular Brain Research. 87(2). 271–279. 50 indexed citations
17.
Hurley, Michael J., Lotte Bach Larsen, Christian W. Heegaard, et al.. (2001). Thermal inactivation kinetics of bovine cathepsin D. Journal of Dairy Research. 68(2). 267–276. 32 indexed citations
18.
Hurley, Michael J., Deborah C. Mash, & Peter Jenner. (2000). Adenosine A2A receptor mRNA expression in Parkinson's disease. Neuroscience Letters. 291(1). 54–58. 38 indexed citations
19.
Hurley, Michael J., Carole M. Stubbs, P. Jenner, & C. D. Marsden. (1996). Effect of chronic treatment with typical and atypical neuroleptics on the expression of dopamine D 2 and D 3 receptors in rat brain. Psychopharmacology. 128(4). 362–370. 25 indexed citations
20.
Hurley, Michael J., Carole M. Stubbs, Peter Jenner, & C. D. Marsden. (1996). Dopamine D3 receptors are not involved in the induction of c-fos mRNA by neuroleptic drugs: comparison of the dopamine D3 receptor antagonist GR103691 with typical and atypical neuroleptics. European Journal of Pharmacology. 318(2-3). 283–293. 32 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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