Michael R. Vasko

6.6k total citations
99 papers, 5.2k citations indexed

About

Michael R. Vasko is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Michael R. Vasko has authored 99 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cellular and Molecular Neuroscience, 42 papers in Molecular Biology and 39 papers in Physiology. Recurrent topics in Michael R. Vasko's work include Pain Mechanisms and Treatments (35 papers), Neuropeptides and Animal Physiology (28 papers) and Neuroscience and Neuropharmacology Research (24 papers). Michael R. Vasko is often cited by papers focused on Pain Mechanisms and Treatments (35 papers), Neuropeptides and Animal Physiology (28 papers) and Neuroscience and Neuropharmacology Research (24 papers). Michael R. Vasko collaborates with scholars based in United States, Slovakia and Japan. Michael R. Vasko's co-authors include Jill C. Fehrenbacher, G. D. Nicol, Jennelle Durnett Richardson, Mark R. Kelley, Chunlu Guo, Michael D. Southall, Angela R. Evans, Charles P. Taylor, Djane B. Duarte and Melissa L. Fishel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Michael R. Vasko

99 papers receiving 5.0k 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 R. Vasko United States 43 2.1k 1.9k 1.7k 652 442 99 5.2k
Atsufumi Kawabata Japan 46 2.3k 1.1× 1.6k 0.9× 1.2k 0.7× 458 0.7× 394 0.9× 243 7.2k
Giacinto Bagetta Italy 49 1.5k 0.7× 2.7k 1.4× 1.9k 1.1× 1.1k 1.6× 516 1.2× 267 8.8k
Charles Advenier France 40 2.5k 1.2× 2.4k 1.3× 2.3k 1.4× 424 0.7× 294 0.7× 252 5.7k
Amteshwar Singh Jaggi India 45 2.4k 1.1× 1.9k 1.0× 1.1k 0.7× 765 1.2× 227 0.5× 195 7.8k
Junzo Kamei Japan 36 2.0k 1.0× 1.9k 1.0× 1.8k 1.1× 482 0.7× 226 0.5× 280 5.1k
Camilla I. Svensson Sweden 47 3.9k 1.9× 2.1k 1.1× 2.0k 1.2× 1.1k 1.7× 217 0.5× 147 7.8k
Nigel A. Calcutt United States 50 4.4k 2.1× 1.9k 1.0× 2.2k 1.3× 630 1.0× 212 0.5× 161 7.4k
D. R. Abernethy United States 17 878 0.4× 3.0k 1.6× 2.1k 1.2× 899 1.4× 305 0.7× 39 7.0k
Gareth J. Sanger United Kingdom 51 2.1k 1.0× 1.6k 0.8× 1.4k 0.8× 670 1.0× 438 1.0× 217 7.1k
Laura Facci Italy 46 1.2k 0.6× 2.7k 1.5× 2.1k 1.3× 1.3k 2.0× 174 0.4× 119 6.8k

Countries citing papers authored by Michael R. Vasko

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Vasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Vasko

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Vasko. A scholar is included among the top collaborators of Michael R. Vasko 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 R. Vasko. Michael R. Vasko 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.
Vittal, Ragini, Amanda Fisher, Eric L. Thompson, et al.. (2022). Overexpression of Decay Accelerating Factor Mitigates Fibrotic Responses to Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 67(4). 459–470. 9 indexed citations
2.
Ramsden, Christopher E., Anthony F. Domenichiello, Zhi‐Xin Yuan, et al.. (2017). A systems approach for discovering linoleic acid derivatives that potentially mediate pain and itch. Science Signaling. 10(493). 60 indexed citations
3.
Robarge, Jason, et al.. (2016). Aromatase inhibitors augment nociceptive behaviors in rats and enhance the excitability of sensory neurons. Experimental Neurology. 281. 53–65. 17 indexed citations
4.
Vasko, Michael R., et al.. (2014). Paclitaxel alters the evoked release of calcitonin gene-related peptide from rat sensory neurons in culture. PMC. 1 indexed citations
5.
Kelley, Mark R., et al.. (2014). Role of the DNA Base Excision Repair Protein, APE1 in Cisplatin, Oxaliplatin, or Carboplatin Induced Sensory Neuropathy. Publisher. 1 indexed citations
6.
Vasko, Michael R., et al.. (2014). Paclitaxel alters the evoked release of calcitonin gene-related peptide from rat sensory neurons in culture. Experimental Neurology. 253. 146–153. 36 indexed citations
7.
Vasko, Michael R., Chunlu Guo, Eric L. Thompson, & Mark R. Kelley. (2011). The repair function of the multifunctional DNA repair/redox protein APE1 is neuroprotective after ionizing radiation. DNA repair. 10(9). 942–952. 41 indexed citations
8.
9.
Flores, Christopher M. & Michael R. Vasko. (2010). The Deorphanization of TRPV1 and the Emergence of Octadecadienoids as a New Class of Lipid Transmitters. Molecular Interventions. 10(3). 137–140. 10 indexed citations
10.
Rimmerman, Neta, Heather B. Bradshaw, Velocity Hughes, et al.. (2008). N-Palmitoyl Glycine, a Novel Endogenous Lipid That Acts As a Modulator of Calcium Influx and Nitric Oxide Production in Sensory Neurons. Molecular Pharmacology. 74(1). 213–224. 73 indexed citations
11.
Nicol, G. D. & Michael R. Vasko. (2007). Unraveling the Story of NGF-mediated Sensitization of Nociceptive Sensory Neurons: ON or OFF the Trks?. Molecular Interventions. 7(1). 26–41. 120 indexed citations
12.
Fehrenbacher, Jill C., et al.. (2006). Sphingosine-1-Phosphate Via Activation of a G-Protein-Coupled Receptor(s) Enhances the Excitability of Rat Sensory Neurons. Journal of Neurophysiology. 96(3). 1042–1052. 72 indexed citations
13.
Wu, Xiaomin, et al.. (2003). ATP Augments Peptide Release from Rat Sensory Neurons in Culture through Activation of P2Y Receptors. Journal of Pharmacology and Experimental Therapeutics. 306(3). 1137–1144. 27 indexed citations
14.
Richardson, Jennelle Durnett & Michael R. Vasko. (2002). Cellular Mechanisms of Neurogenic Inflammation. Journal of Pharmacology and Experimental Therapeutics. 302(3). 839–845. 390 indexed citations
15.
Brodley, Joseph F., Stephen J. Marx, Christine E. Marx, et al.. (1999). AMJ volume 25 issue 4 Cover and Front matter. American Journal of Law & Medicine. 25(4). f1–f5. 1 indexed citations
16.
Vasko, Michael R., et al.. (1996). Peptidase inhibitors improve recovery of substance P and calcitonin gene-related peptide release from rat spinal cord slices. Peptides. 17(1). 31–37. 33 indexed citations
17.
Vasko, Michael R.. (1995). Chapter 21 Prostaglandin-induced neuropeptide release from spinal cord. Progress in brain research. 104. 367–380. 85 indexed citations
18.
Vasko, Michael R., et al.. (1995). Prostaglandins facilitate peptide release from rat sensory neurons by activating the adenosine 3',5'-cyclic monophosphate transduction cascade. PMC. 3 indexed citations
19.
Hingtgen, Cynthia M. & Michael R. Vasko. (1994). Prostacyclin enhances the evoked-release of substance P and calcitonin gene-related peptide from rat sensory neurons. Brain Research. 655(1-2). 51–60. 87 indexed citations
20.

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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