Mike Dragunow

24.1k total citations · 3 hit papers
231 papers, 18.2k citations indexed

About

Mike Dragunow is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Mike Dragunow has authored 231 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Cellular and Molecular Neuroscience, 106 papers in Molecular Biology and 45 papers in Neurology. Recurrent topics in Mike Dragunow's work include Neuroscience and Neuropharmacology Research (83 papers), Neuroinflammation and Neurodegeneration Mechanisms (35 papers) and Neurogenesis and neuroplasticity mechanisms (28 papers). Mike Dragunow is often cited by papers focused on Neuroscience and Neuropharmacology Research (83 papers), Neuroinflammation and Neurodegeneration Mechanisms (35 papers) and Neurogenesis and neuroplasticity mechanisms (28 papers). Mike Dragunow collaborates with scholars based in New Zealand, United States and Canada. Mike Dragunow's co-authors include Richard L. M. Faull, H.A. Robertson, Bronwen Connor, Paul E. Hughes, M. Walton, P. Lawlor, Michelle Glass, Deborah Young, Maurice A. Curtis and Ernest Sirimanne and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mike Dragunow

227 papers receiving 17.9k citations

Hit Papers

The use of c-fos as a metabolic marker in neuronal pathwa... 1987 2026 2000 2013 1989 1995 1987 400 800 1.2k

Peers

Mike Dragunow
Roger P. Simon United States
Frank R. Sharp United States
Eleonora Aronica Netherlands
Raymond A. Swanson United States
Barbara L. Hempstead United States
Teresa A. Milner United States
Roger P. Simon United States
Mike Dragunow
Citations per year, relative to Mike Dragunow Mike Dragunow (= 1×) peers Roger P. Simon

Countries citing papers authored by Mike Dragunow

Since Specialization
Citations

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

Fields of papers citing papers by Mike Dragunow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Dragunow

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Dragunow. A scholar is included among the top collaborators of Mike Dragunow 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 Mike Dragunow. Mike Dragunow 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.
Dragunow, Mike, et al.. (2025). Brain tumour histopathology through the lens of deep learning: A systematic review. Computers in Biology and Medicine. 186. 109642–109642.
2.
Singh‐Bains, Malvindar K., et al.. (2021). Preparation, construction and high-throughput automated analysis of human brain tissue microarrays for neurodegenerative disease drug development. Nature Protocols. 16(4). 2308–2343. 16 indexed citations
3.
Choi, Peter J., et al.. (2020). Heptamethine Cyanine Dye Mediated Drug Delivery: Hype or Hope. Bioconjugate Chemistry. 31(7). 1724–1739. 53 indexed citations
4.
Choi, Peter J., Patrick Schweder, Edward Mee, et al.. (2020). PARP inhibitor cyanine dye conjugate with enhanced cytotoxic and antiproliferative activity in patient derived glioblastoma cell lines. Bioorganic & Medicinal Chemistry Letters. 30(14). 127252–127252. 16 indexed citations
5.
Swanson, Molly E. V., Emma L. Scotter, Leon Smyth, et al.. (2020). Identification of a dysfunctional microglial population in human Alzheimer’s disease cortex using novel single-cell histology image analysis. Acta Neuropathologica Communications. 8(1). 170–170. 53 indexed citations
6.
Min, Xiaoli, Mojdeh Mohammadi, Clinton Turner, et al.. (2017). Endothelial Degeneration of Parkinson's Disease is Related to Alpha-Synuclein Aggregation. Journal of Alzheimer’s Disease & Parkinsonism. 7(5). 14 indexed citations
7.
Grimsey, Natasha L., Catherine E. Goodfellow, Mike Dragunow, & Michelle Glass. (2011). Cannabinoid receptor 2 undergoes Rab5-mediated internalization and recycles via a Rab11-dependent pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(8). 1554–1560. 67 indexed citations
8.
Dragunow, Mike, Rachel Cameron, Pritika Narayan, & Simon J. O’Carroll. (2007). Image-Based High-Throughput Quantification of Cellular Fat Accumulation. SLAS DISCOVERY. 12(7). 999–1005. 22 indexed citations
9.
Pearson, Andree G., Maurice A. Curtis, Henry J. Waldvogel, Richard L. M. Faull, & Mike Dragunow. (2005). Activating transcription factor 2 expression in the adult human brain: Association with both neurodegeneration and neurogenesis. Neuroscience. 133(2). 437–451. 49 indexed citations
10.
Dragunow, Mike. (2004). CREB and neurodegeneration. Frontiers in bioscience. 9(1-3). 100–100. 33 indexed citations
11.
Dragunow, Mike, G.A. MacGibbon, P. Lawlor, et al.. (1997). Apoptosis, Neurotrophic Factors and Neurodegeneration. Reviews in the Neurosciences. 8(3-4). 223–65. 44 indexed citations
12.
Lai, Maggie, Peter D. Gluckman, Mike Dragunow, & Paul E. Hughes. (1997). Focal brain injury increases activin βA mRNA expression in hippocampal neurons. Neuroreport. 8(12). 2691–2694. 34 indexed citations
13.
Nicholson, Louise, Richard L. M. Faull, Henry J. Waldvogel, & Mike Dragunow. (1995). GABA and GABAA receptor changes in the substantia nigra of the rat following quinolinic acid lesions in the striatum closely resemble Huntington's disease. Neuroscience. 66(3). 507–521. 35 indexed citations
14.
Leah, J.D., Thomas Herdegen, Alexander K. Murashov, Mike Dragunow, & R Bravo. (1993). Expression of immediate early gene proteins following axotomy and inhibition of axonal transport in the rat central nervous system. Neuroscience. 57(1). 53–66. 82 indexed citations
15.
Dragunow, Mike, Norihito Yamada, David K. Bilkey, & P. Lawlor. (1992). Induction of immediate-early gene proteins in dentate granule cells and somatostatin interneurons after hippocampal seizures. Molecular Brain Research. 13(1-2). 119–126. 81 indexed citations
16.
Gluckman, Peter D., Jian Guan, Carina Mallard, et al.. (1992). A role for IGF-1 in the rescue of CNS neurons following hypoxic-ischemic injury. Biochemical and Biophysical Research Communications. 182(2). 593–599. 324 indexed citations
17.
Dragunow, Mike, Richard L. M. Faull, Henry J. Waldvogel, M.N. Williams, & J.D. Leah. (1991). Elevated expression ofjun andfos-related proteins in transplanted striatal neurons. Brain Research. 558(2). 321–324. 12 indexed citations
19.
Dragunow, Mike & Richard L. M. Faull. (1990). MK-801 induces c-fos protein in thalamic and neocortical neurons of rat brain. Neuroscience Letters. 111(1-2). 39–45. 120 indexed citations
20.
Dragunow, Mike & H.A. Robertson. (1988). Localization and induction of c-fos protein-like immunoreactive material in the nuclei of adult mammalian neurons. Brain Research. 440(2). 252–260. 122 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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