Mark Vitucci

3.7k total citations
9 papers, 355 citations indexed

About

Mark Vitucci is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Mark Vitucci has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Mark Vitucci's work include Glioma Diagnosis and Treatment (7 papers), Chromatin Remodeling and Cancer (2 papers) and MicroRNA in disease regulation (2 papers). Mark Vitucci is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Chromatin Remodeling and Cancer (2 papers) and MicroRNA in disease regulation (2 papers). Mark Vitucci collaborates with scholars based in United States and Canada. Mark Vitucci's co-authors include C. Ryan Miller, Michael T. Borchers, Scott C. Wesselkamper, D. Neil Hayes, Nathaniel Harris, David Cosman, Ralf S. Schmid, Robert S. McNeill, Jing Wu and Gregory J. Riggins and has published in prestigious journals such as Nature Communications, British Journal of Cancer and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Mark Vitucci

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Vitucci United States	9	157	136	122	78	58	9	355
Andrey Brydun Japan	10	215 1.4×	23 0.2×	76 0.6×	62 0.8×	38 0.7×	15	321
Yoslayma Cardentey United States	4	219 1.4×	153 1.1×	94 0.8×	110 1.4×	74 1.3×	4	365
Samuel J. Taylor United States	10	146 0.9×	59 0.4×	73 0.6×	24 0.3×	67 1.2×	21	333
Lauren Véronèse France	12	155 1.0×	79 0.6×	63 0.5×	71 0.9×	97 1.7×	30	369
Masuzu Ueda Japan	8	191 1.2×	128 0.9×	68 0.6×	30 0.4×	54 0.9×	19	410
Boxuan Liu China	12	243 1.5×	57 0.4×	64 0.5×	134 1.7×	61 1.1×	25	374
Yukihiro Shiraki Japan	11	165 1.1×	43 0.3×	63 0.5×	79 1.0×	135 2.3×	29	354
Adwitiya Kar United States	10	173 1.1×	50 0.4×	41 0.3×	129 1.7×	64 1.1×	18	367
Milica Vukovic United Kingdom	8	249 1.6×	37 0.3×	61 0.5×	130 1.7×	41 0.7×	10	433

Countries citing papers authored by Mark Vitucci

Since Specialization

Citations

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

Fields of papers citing papers by Mark Vitucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Vitucci

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

All Works

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9 of 9 papers shown

Danussi, Carla, Promita Bose, Prasanna Tamarapu Parthasarathy, et al.. (2018). Atrx inactivation drives disease-defining phenotypes in glioma cells of origin through global epigenomic remodeling. Nature Communications. 9(1). 1057–1057. 68 indexed citations

Vitucci, Mark, David Irvin, Robert S. McNeill, et al.. (2017). Genomic profiles of low-grade murine gliomas evolve during progression to glioblastoma. Neuro-Oncology. 19(9). 1237–1247. 15 indexed citations

Schmid, Ralf S., Jeremy M. Simon, Mark Vitucci, et al.. (2016). Core pathway mutations induce de-differentiation of murine astrocytes into glioblastoma stem cells that are sensitive to radiation but resistant to temozolomide. Neuro-Oncology. 18(7). 962–973. 24 indexed citations

McNeill, Robert S., Ralf S. Schmid, Ryan Bash, et al.. (2014). Modeling Astrocytoma Pathogenesis <em>In Vitro</em> and <em>In Vivo</em> Using Cortical Astrocytes or Neural Stem Cells from Conditional, Genetically Engineered Mice. Journal of Visualized Experiments. e51763–e51763. 8 indexed citations

McNeill, Robert S., Mark Vitucci, Jing Wu, & C. Ryan Miller. (2014). Contemporary murine models in preclinical astrocytoma drug development. Neuro-Oncology. 17(1). 12–28. 15 indexed citations

Schmid, Ralf S., Mark Vitucci, & C. Ryan Miller. (2011). Genetically engineered mouse models of diffuse gliomas. Brain Research Bulletin. 88(1). 72–79. 15 indexed citations

Vitucci, Mark, D. Neil Hayes, & C. Ryan Miller. (2010). Gene expression profiling of gliomas: merging genomic and histopathological classification for personalised therapy. British Journal of Cancer. 104(4). 545–553. 75 indexed citations

Borchers, Michael T., Scott C. Wesselkamper, Nathaniel Harris, et al.. (2007). CD8+ T cells contribute to macrophage accumulation and airspace enlargement following repeated irritant exposure. Experimental and Molecular Pathology. 83(3). 301–310. 32 indexed citations

Borchers, Michael T., Nathaniel Harris, Scott C. Wesselkamper, Mark Vitucci, & David Cosman. (2006). NKG2D ligands are expressed on stressed human airway epithelial cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 291(2). L222–L231. 103 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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