Dan D. Levy

3.5k total citations · 1 hit paper
41 papers, 2.6k citations indexed

About

Dan D. Levy is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Dan D. Levy has authored 41 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Plant Science. Recurrent topics in Dan D. Levy's work include Carcinogens and Genotoxicity Assessment (16 papers), Genetically Modified Organisms Research (10 papers) and Effects and risks of endocrine disrupting chemicals (10 papers). Dan D. Levy is often cited by papers focused on Carcinogens and Genotoxicity Assessment (16 papers), Genetically Modified Organisms Research (10 papers) and Effects and risks of endocrine disrupting chemicals (10 papers). Dan D. Levy collaborates with scholars based in United States, Japan and United Kingdom. Dan D. Levy's co-authors include Mina J. Bissell, Derek C. Radisky, Hong Liu, Jimmie E. Fata, Donna G. Albertson, Laurie E. Littlepage, Celeste M. Nelson, Zena Werb, M. Ángela Nieto and Devin Leake and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Molecular Biology.

In The Last Decade

Dan D. Levy

41 papers receiving 2.6k citations

Hit Papers

Rac1b and reactive oxygen species mediate MMP-3-induced E... 2005 2026 2012 2019 2005 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rac1b and reactive oxygen species mediate MMP-3-induced EMT and genomic instability
    2005 1.0k citations Derek C. Radisky, Dan D. Levy et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan D. Levy United States 24 1.6k 905 548 283 238 41 2.6k
Luís Felipe Ribeiro Pinto Brazil 27 1.2k 0.8× 512 0.6× 424 0.8× 145 0.5× 106 0.4× 121 2.2k
Katsuhiko Enomoto Japan 33 2.0k 1.2× 499 0.6× 553 1.0× 55 0.2× 94 0.4× 103 3.8k
Denise Glaise France 33 2.1k 1.3× 570 0.6× 1.2k 2.2× 172 0.6× 178 0.7× 60 5.6k
Hisafumi Yamada‐Okabe Japan 36 2.2k 1.4× 578 0.6× 583 1.1× 452 1.6× 112 0.5× 78 3.7k
Katrien Vermeulen Belgium 14 1.5k 0.9× 330 0.4× 670 1.2× 149 0.5× 83 0.3× 30 2.6k
Christopher M. Weghorst United States 32 1.6k 1.0× 617 0.7× 1.1k 2.1× 131 0.5× 111 0.5× 112 3.3k
Enrico Cundari Italy 29 1.6k 1.0× 442 0.5× 480 0.9× 337 1.2× 148 0.6× 84 2.6k
Cécile Guichard France 22 1.6k 1.0× 642 0.7× 311 0.6× 424 1.5× 51 0.2× 35 3.5k
Richard C. Jones United States 37 2.2k 1.4× 227 0.3× 596 1.1× 240 0.8× 280 1.2× 72 4.1k
Ih‐Chang Hsu United States 23 1.3k 0.8× 776 0.9× 826 1.5× 546 1.9× 177 0.7× 51 2.8k

Countries citing papers authored by Dan D. Levy

Since Specialization
Citations

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

Fields of papers citing papers by Dan D. Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan D. Levy

This figure shows the co-authorship network connecting the top 25 collaborators of Dan D. Levy. A scholar is included among the top collaborators of Dan D. Levy 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 D. Levy. Dan D. Levy 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.
Schoeny, Rita, Kevin P. Cross, David M. DeMarini, et al.. (2020). Revisiting the bacterial mutagenicity assays: Report by a workgroup of the International Workshops on Genotoxicity Testing (IWGT). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 849. 503137–503137. 6 indexed citations
2.
Levy, Dan D., Errol Zeiger, Patricia A. Escobar, et al.. (2019). Recommended criteria for the evaluation of bacterial mutagenicity data (Ames test). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 848. 403074–403074. 65 indexed citations
3.
Speit, Günter, Hajime Kojima, Brian Burlinson, et al.. (2014). Critical issues with the in vivo comet assay: A report of the comet assay working group in the 6th International Workshop on Genotoxicity Testing (IWGT). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 783. 6–12. 49 indexed citations
4.
MacGregor, James T., Roland Frötschl, Paul A. White, et al.. (2014). IWGT report on quantitative approaches to genotoxicity risk assessment I. Methods and metrics for defining exposure–response relationships and points of departure (PoDs). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 783. 55–65. 101 indexed citations
5.
MacGregor, James T., Roland Frötschl, Paul A. White, et al.. (2014). IWGT report on quantitative approaches to genotoxicity risk assessment II. Use of point-of-departure (PoD) metrics in defining acceptable exposure limits and assessing human risk. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 783. 66–78. 99 indexed citations
6.
Chen, James J., et al.. (2012). Evaluation of the highest concentrations used in the in vitro chromosome aberrations assay. Environmental and Molecular Mutagenesis. 54(1). 36–43. 10 indexed citations
7.
Galloway, Sheila M., Elisabeth Lorge, Marilyn J. Aardema, et al.. (2011). Workshop summary: Top concentration for in vitro mammalian cell genotoxicity assays; and report from working group on toxicity measures and top concentration for in vitro cytogenetics assays (chromosome aberrations and micronucleus). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 723(2). 77–83. 36 indexed citations
8.
Ding, Wei, Dan D. Levy, Michelle E. Bishop, et al.. (2011). Methyleugenol Genotoxicity in the Fischer 344 Rat Using the Comet Assay and Pathway-Focused Gene Expression Profiling. Toxicological Sciences. 123(1). 103–112. 32 indexed citations
9.
Sanders, Mary Ellen & Dan D. Levy. (2011). The science and regulations of probiotic food and supplement product labeling. Annals of the New York Academy of Sciences. 1219(s1). E1–E23. 24 indexed citations
10.
Dearfield, Kerry L., Véronique Thybaud, Michael C. Cimino, et al.. (2010). Follow‐up actions from positive results of in vitro genetic toxicity testing. Environmental and Molecular Mutagenesis. 52(3). 177–204. 37 indexed citations
11.
Elespuru, Rosalie K., Rajiv Agarwal, Aisar Atrakchi, et al.. (2009). Current and Future Application of Genetic Toxicity Assays: The Role and Value of In Vitro Mammalian Assays. Toxicological Sciences. 109(2). 172–179. 29 indexed citations
12.
Radisky, Derek C., Dan D. Levy, Laurie E. Littlepage, et al.. (2005). Rac1b and reactive oxygen species mediate MMP-3-induced EMT and genomic instability. Nature. 436(7047). 123–127. 1021 indexed citations breakdown →
13.
Orlandi, Palmer A., et al.. (2002). Analysis of Flour and Food Samples for cry9C from Bioengineered Corn. Journal of Food Protection. 65(2). 426–431. 7 indexed citations
14.
Pujuguet, Philippe, et al.. (2001). Trichostatin a inhibits β‐casein expression in mammary epithelial cells. Journal of Cellular Biochemistry. 83(4). 660–670. 21 indexed citations
15.
Levy, Dan D., Janet M. Davies, Robyn E. O’Hehir, & Cenk Suphioglu. (2001). A rapid and efficient two-step gel electrophoresis method for the purification of major rye grass pollen allergens. Electrophoresis. 22(10). 1900–1905. 6 indexed citations
16.
Suphioglu, Cenk, et al.. (2001). A novel grass pollen allergen mimotope identified by phage display peptide library inhibits allergen–human IgE antibody interaction. FEBS Letters. 502(1-2). 46–52. 19 indexed citations
17.
Levy, Dan D., et al.. (1997). Plasmodium chabaudi:cDNA of Pc96, a Protective Antigen Associated with the Erythrocyte Membrane of Infected Erythrocytes. Experimental Parasitology. 85(1). 92–98. 3 indexed citations
18.
Levy, Dan D., et al.. (1996). The Influence of Single Base Changes on UV Mutational Activity at Two Translocated Hotspots. Journal of Molecular Biology. 255(3). 435–445. 14 indexed citations
19.
Parris, Christopher N., Dan D. Levy, Joel Jessee, & Michael M. Seidman. (1994). Proximal and Distal Effects of Sequence Context on Ultraviolet Mutational Hotspots in a Shuttle Vector Replicated in Xeroderma Cells. Journal of Molecular Biology. 236(2). 491–502. 29 indexed citations
20.
Kraemer, Kenneth H., Dan D. Levy, Christopher N. Parris, et al.. (1994). Xeroderma Pigmentosum and Related Disorders: Examining the Linkage Between Defective DNA Repair and Cancer.. Journal of Investigative Dermatology. 103(s5). 96S–101S. 44 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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