Michael Navarro

515 total citations
11 papers, 218 citations indexed

About

Michael Navarro is a scholar working on Genetics, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Navarro has authored 11 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Navarro's work include Neurogenetic and Muscular Disorders Research (4 papers), Virus-based gene therapy research (3 papers) and Pain Mechanisms and Treatments (2 papers). Michael Navarro is often cited by papers focused on Neurogenetic and Muscular Disorders Research (4 papers), Virus-based gene therapy research (3 papers) and Pain Mechanisms and Treatments (2 papers). Michael Navarro collaborates with scholars based in United States, Slovakia and Czechia. Michael Navarro's co-authors include Martin Maršala, Marián Hruška-Plocháň, Brian K. Kaspar, Dara Ditsworth, Don W. Cleveland, Anh Thu Bui, SungWon Song, Melissa McAlonis‐Downes, Tom Shani and Jason Liang and has published in prestigious journals such as Neuron, PLoS ONE and Experimental Neurology.

In The Last Decade

Michael Navarro

10 papers receiving 218 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 Navarro United States 6 71 63 57 48 47 11 218
Mikiko Tada Japan 7 148 2.1× 63 1.0× 83 1.5× 14 0.3× 39 0.8× 21 225
Christopher Halfpenny United Kingdom 7 48 0.7× 51 0.8× 33 0.6× 13 0.3× 23 0.5× 10 172
Léna Guillot‐Noël France 8 134 1.9× 37 0.6× 148 2.6× 22 0.5× 49 1.0× 10 325
Hung‐Yu Shih Taiwan 12 224 3.2× 25 0.4× 35 0.6× 28 0.6× 40 0.9× 22 330
Elena Panayiotou Cyprus 12 182 2.6× 49 0.8× 21 0.4× 32 0.7× 27 0.6× 23 318
Prech Uapinyoying United States 8 132 1.9× 39 0.6× 13 0.2× 35 0.7× 22 0.5× 12 248
Tomoya Nishimura Japan 8 109 1.5× 111 1.8× 62 1.1× 15 0.3× 22 0.5× 17 246
Xavier Lévêque France 11 151 2.1× 114 1.8× 45 0.8× 13 0.3× 96 2.0× 14 288
Siling Du United States 10 90 1.3× 117 1.9× 52 0.9× 107 2.2× 20 0.4× 16 420
Jihane Soueid Lebanon 8 122 1.7× 61 1.0× 26 0.5× 9 0.2× 16 0.3× 17 258

Countries citing papers authored by Michael Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Michael Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Navarro

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

All Works

11 of 11 papers shown
1.
2.
Bohačiaková, Dáša, Marián Hruška-Plocháň, Wesley D. Gifford, et al.. (2019). A scalable solution for isolating human multipotent clinical-grade neural stem cells from ES precursors. Stem Cell Research & Therapy. 10(1). 83–83. 31 indexed citations
3.
Maršala, Martin, Takahiro Tadokoro, Michael Navarro, et al.. (2019). Spinal parenchymal occupation by neural stem cells after subpial delivery in adult immunodeficient rats. Stem Cells Translational Medicine. 9(2). 177–188. 8 indexed citations
4.
Marsala, Silvia, Michael Navarro, Manabu Kakinohana, et al.. (2018). Time-dependent, bidirectional, anti- and pro-spinal hyper-reflexia and muscle spasticity effect after chronic spinal glycine transporter 2 (GlyT2) oligonucleotide-induced downregulation. Experimental Neurology. 305. 66–75. 2 indexed citations
5.
6.
Tadokoro, Takahiro, Atsushi Miyanohara, Michael Navarro, et al.. (2017). Subpial Adeno-associated Virus 9 (AAV9) Vector Delivery in Adult Mice. Journal of Visualized Experiments. 5 indexed citations
7.
Tadokoro, Takahiro, Atsushi Miyanohara, Michael Navarro, et al.. (2017). Subpial Adeno-associated Virus 9 (AAV9) Vector Delivery in Adult Mice. Journal of Visualized Experiments. 3 indexed citations
8.
Miyanohara, Atsushi, Štefan Juhás, Jana Juhásová, et al.. (2016). Potent spinal parenchymal AAV9-mediated gene delivery by subpial injection in adult rats and pigs. Molecular Therapy — Methods & Clinical Development. 3. 16046–16046. 29 indexed citations
9.
Bravo‐Hernández, Mariana, Osamu Kakinohana, Michael Navarro, et al.. (2015). Thoracic 9 Spinal Transection-Induced Model of Muscle Spasticity in the Rat: A Systematic Electrophysiological and Histopathological Characterization. PLoS ONE. 10(12). e0144642–e0144642. 20 indexed citations
10.
Israelson, Adrian, Dara Ditsworth, Shuying Sun, et al.. (2015). Macrophage Migration Inhibitory Factor as a Chaperone Inhibiting Accumulation of Misfolded SOD1. Neuron. 86(1). 218–232. 99 indexed citations
11.
Navarro, Michael, Emily E. Bockmon, Christina A. Frieder, Jennifer P. Gonzalez, & Lisa A. Levin. (2014). Environmental pH, O2 and Capsular Effects on the Geochemical Composition of Statoliths of Embryonic Squid Doryteuthis opalescens. Water. 6(8). 2233–2254. 16 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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