Mark T. Wilson

536 total citations
8 papers, 472 citations indexed

About

Mark T. Wilson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Mark T. Wilson has authored 8 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Mark T. Wilson's work include Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Mark T. Wilson is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Mark T. Wilson collaborates with scholars based in United States. Mark T. Wilson's co-authors include Diane M. Snow, Charles Keith, Michael P. Lisanti, Roberto Campos‐González, Puneeth Iyengar, Boumediene Bouzahzah, David B. Bregman, Philipp E. Scherer, Douglas M. Lublin and Richard G. Pestell and has published in prestigious journals such as Biochemistry, The Journal of Comparative Neurology and Molecular Endocrinology.

In The Last Decade

Mark T. Wilson

8 papers receiving 468 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark T. Wilson United States 7 301 276 111 72 49 8 472
Laure Strochlic France 14 260 0.9× 646 2.3× 280 2.5× 50 0.7× 60 1.2× 20 908
Marion Jung Germany 6 197 0.7× 245 0.9× 181 1.6× 32 0.4× 105 2.1× 8 423
Hirotada Fujita Japan 9 171 0.6× 304 1.1× 126 1.1× 33 0.5× 30 0.6× 10 436
Jasmina Profirovic United States 11 103 0.3× 279 1.0× 85 0.8× 64 0.9× 11 0.2× 13 465
Atsushi Hattori Japan 7 118 0.4× 301 1.1× 191 1.7× 40 0.6× 55 1.1× 12 489
Vsevolod Bodrikov Germany 8 156 0.5× 259 0.9× 145 1.3× 46 0.6× 87 1.8× 8 379
Renée Picart France 12 114 0.4× 221 0.8× 97 0.9× 42 0.6× 30 0.6× 15 356
Tohru Oki Japan 9 64 0.2× 320 1.2× 155 1.4× 36 0.5× 21 0.4× 11 471
Hiroshi Aoto Japan 9 128 0.4× 381 1.4× 180 1.6× 69 1.0× 10 0.2× 12 545
Kiyoshi Owada Japan 8 125 0.4× 228 0.8× 140 1.3× 46 0.6× 13 0.3× 11 374

Countries citing papers authored by Mark T. Wilson

Since Specialization
Citations

This map shows the geographic impact of Mark T. Wilson'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 Mark T. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Wilson more than expected).

Fields of papers citing papers by Mark T. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Wilson. 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 Mark T. Wilson. The network helps show where Mark T. Wilson may publish in the future.

Co-authorship network of co-authors of Mark T. Wilson

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

All Works

8 of 8 papers shown
1.
Sotgia, Federica, Gloria Bonuccelli, Mark T. Bedford, et al.. (2003). Localization of Phospho-β-dystroglycan (pY892) to an Intracellular Vesicular Compartment in Cultured Cells and Skeletal Muscle Fibers in Vivo. Biochemistry. 42(23). 7110–7123. 42 indexed citations
2.
Keith, Charles & Mark T. Wilson. (2001). Factors controlling axonal and dendritic arbors. International review of cytology. 205. 77–147. 6 indexed citations
3.
Wilson, Mark T., William S. Kisaalita, & Charles Keith. (2000). Glutamate-induced changes in the pattern of hippocampal dendrite outgrowth: A role for calcium-dependent pathways and the microtubule cytoskeleton. Journal of Neurobiology. 43(2). 159–172. 39 indexed citations
4.
Wilson, Mark T. & Diane M. Snow. (2000). Chondroitin sulfate proteoglycan expression pattern in hippocampal development: Potential regulation of axon tract formation. The Journal of Comparative Neurology. 424(3). 532–546. 66 indexed citations
5.
Lee, Hyangkyu, Daniela Volonté, Ferruccio Galbiati, et al.. (2000). Constitutive and Growth Factor-Regulated Phosphorylation of Caveolin-1 Occurs at the Same Site (Tyr-14) in Vivo: Identification of a c-Src/Cav-1/Grb7 Signaling Cassette. Molecular Endocrinology. 14(11). 1750–1775. 282 indexed citations
6.
Wilson, Mark T. & Charles Keith. (1998). Glutamate modulation of dendrite outgrowth: Alterations in the distribution of dendritic microtubules. Journal of Neuroscience Research. 52(5). 599–611. 29 indexed citations
7.
Wilson, Mark T. & Charles Keith. (1998). Glutamate modulation of dendrite outgrowth: Alterations in the distribution of dendritic microtubules. Journal of Neuroscience Research. 52(5). 599–611. 2 indexed citations
8.
Wilson, Mark T.. (1988). SETTING UP AN EFFECTIVE. Nursing. 18(12). 55–56. 6 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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