Dan Casciano

703 total citations
10 papers, 517 citations indexed

About

Dan Casciano is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Dan Casciano has authored 10 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Dan Casciano's work include Gene expression and cancer classification (4 papers), Graphene and Nanomaterials Applications (3 papers) and Bioinformatics and Genomic Networks (3 papers). Dan Casciano is often cited by papers focused on Gene expression and cancer classification (4 papers), Graphene and Nanomaterials Applications (3 papers) and Bioinformatics and Genomic Networks (3 papers). Dan Casciano collaborates with scholars based in United States, Iraq and Romania. Dan Casciano's co-authors include Alexandru S. Biris, Meena Mahmood, Yang Xu, Angela J. Harris, Stephen Harris, Weida Tong, Xiaoxi Cao, Hongmei Sun, Roger Perkins and Qian Xie and has published in prestigious journals such as Environmental Health Perspectives, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Journal of Materials Chemistry B.

In The Last Decade

Dan Casciano

10 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Casciano United States 8 218 164 145 73 51 10 517
María Victoria Aguirre Argentina 15 216 1.0× 79 0.5× 69 0.5× 96 1.3× 55 1.1× 42 602
Yi-Tzai Chen United States 9 116 0.5× 227 1.4× 176 1.2× 111 1.5× 13 0.3× 14 517
Paras Jawaid Japan 12 161 0.7× 113 0.7× 120 0.8× 51 0.7× 22 0.4× 21 514
Asif Raza United States 14 185 0.8× 92 0.6× 79 0.5× 51 0.7× 42 0.8× 42 514
Lama Hamadneh Jordan 12 173 0.8× 97 0.6× 60 0.4× 98 1.3× 55 1.1× 50 516
Xingang Liu China 12 249 1.1× 72 0.4× 45 0.3× 79 1.1× 25 0.5× 31 474
Yeping Yu China 14 246 1.1× 48 0.3× 108 0.7× 113 1.5× 25 0.5× 29 664
Theodora Mantso Greece 13 232 1.1× 129 0.8× 64 0.4× 63 0.9× 41 0.8× 20 584

Countries citing papers authored by Dan Casciano

Since Specialization
Citations

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

Fields of papers citing papers by Dan Casciano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Casciano

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

All Works

10 of 10 papers shown
1.
Zhang, Yongbin, Dayton M. Petibone, Yang Xu, et al.. (2014). Toxicity and efficacy of carbon nanotubes and graphene: the utility of carbon-based nanoparticles in nanomedicine. Drug Metabolism Reviews. 46(2). 232–246. 113 indexed citations
2.
Mahmood, Meena, Tariq Fahmi, Yang Xu, et al.. (2014). Single‐walled carbon nanotube and graphene nanodelivery of gambogic acid increases its cytotoxicity in breast and pancreatic cancer cells. Journal of Applied Toxicology. 34(11). 1188–1199. 45 indexed citations
3.
Mahmood, Meena, Hector Villagarcia, Enkeleda Dervishi, et al.. (2013). Role of carbonaceous nanomaterials in stimulating osteogenesis in mammalian bone cells. Journal of Materials Chemistry B. 1(25). 3220–3220. 24 indexed citations
4.
Karmakar, Alokita, Cornel Iancu, Dana Bartoș, et al.. (2011). Raman spectroscopy as a detection and analysis tool for in vitro specific targeting of pancreatic cancer cells by EGF‐conjugated, single‐walled carbon nanotubes. Journal of Applied Toxicology. 32(5). 365–375. 29 indexed citations
5.
Mahmood, Meena, Dan Casciano, Yang Xu, & Alexandru S. Biris. (2011). Engineered nanostructural materials for application in cancer biology and medicine. Journal of Applied Toxicology. 32(1). 10–19. 28 indexed citations
6.
Delongchamp, Robert R., Cruz Velasco, Mehdi Razzaghi, Angela J. Harris, & Dan Casciano. (2004). Median-of-Subsets Normalization of Intensities for cDNA Array Data. DNA and Cell Biology. 23(10). 653–659. 4 indexed citations
7.
Tong, Weida, Stephen Harris, Xiaoxi Cao, et al.. (2004). Development of public toxicogenomics software for microarray data management and analysis. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 549(1-2). 241–253. 76 indexed citations
8.
Tong, Weida, Xiaoxi Cao, Stephen Harris, et al.. (2003). ArrayTrack - Supporting Toxicogenomic Research at the U.S. Food and Drug Administration National Center for Toxicological Research. Environmental Health Perspectives. 111(15). 7 indexed citations
9.
Tong, Weida, Xiaoxi Cao, Stephen Harris, et al.. (2003). ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.. Environmental Health Perspectives. 111(15). 1819–1826. 156 indexed citations
10.
McClain, R. Michael, Douglas A. Keller, Dan Casciano, et al.. (2001). Neonatal Mouse Model: Review of Methods and Results. Toxicologic Pathology. 29(1_suppl). 128–137. 35 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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