Gregory Akerman

551 total citations
10 papers, 426 citations indexed

About

Gregory Akerman is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Gregory Akerman has authored 10 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Gregory Akerman's work include Carcinogens and Genotoxicity Assessment (4 papers), Cancer-related Molecular Pathways (3 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). Gregory Akerman is often cited by papers focused on Carcinogens and Genotoxicity Assessment (4 papers), Cancer-related Molecular Pathways (3 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). Gregory Akerman collaborates with scholars based in United States, Taiwan and Germany. Gregory Akerman's co-authors include Nancy McCarroll, Andrew D. Kligerman, Nagalakshmi Keshava, Jonathan H. Chen, Olen E. Domon, Lynda J. McGarrity, Frank D. Sistare, James T. MacGregor, Chen‐An Tsai and Ann L. Coker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Letters and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

Gregory Akerman

10 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Akerman United States 7 154 136 120 70 45 10 426
Sarah Labib Canada 9 262 1.7× 156 1.1× 200 1.7× 72 1.0× 6 0.1× 9 566
Cristina Croera Italy 12 125 0.8× 45 0.3× 135 1.1× 51 0.7× 7 0.2× 25 472
Karen Harrington‐Brock United States 14 377 2.4× 293 2.2× 289 2.4× 71 1.0× 39 0.9× 19 777
Joanna Klapacz United States 11 274 1.8× 86 0.6× 81 0.7× 23 0.3× 9 0.2× 19 473
Satoko Kakiuchi-Kiyota United States 15 249 1.6× 60 0.4× 117 1.0× 82 1.2× 17 0.4× 24 534
Matthew J. Meier Canada 17 247 1.6× 186 1.4× 193 1.6× 24 0.3× 21 0.5× 49 657
Elisavet Gatzidou Greece 10 217 1.4× 91 0.7× 155 1.3× 49 0.7× 41 0.9× 13 506
Lili Qian China 11 435 2.8× 183 1.3× 90 0.8× 126 1.8× 64 1.4× 16 694
Hye Lim Kim South Korea 10 120 0.8× 55 0.4× 140 1.2× 16 0.2× 13 0.3× 31 365

Countries citing papers authored by Gregory Akerman

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Akerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Akerman

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Akerman. A scholar is included among the top collaborators of Gregory Akerman 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 Gregory Akerman. Gregory Akerman 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.
Auerbach, Scott S., Logan J. Everett, Beena Vallanat, et al.. (2024). A new approach methodology to identify tumorigenic chemicals using short-term exposures and transcript profiling. SHILAP Revista de lepidopterología. 6. 1422325–1422325. 2 indexed citations
2.
Hilton, Gina M., Gregory Akerman, Roland Buesen, et al.. (2021). Rethinking carcinogenicity assessment for agrochemicals. Toxicology Letters. 350. S215–S215. 1 indexed citations
3.
4.
Knight, Andrew W., Stephen B. Little, Keith A. Houck, et al.. (2009). Evaluation of high-throughput genotoxicity assays used in profiling the US EPA ToxCast™ chemicals. Regulatory Toxicology and Pharmacology. 55(2). 188–199. 89 indexed citations
5.
McCarroll, Nancy, et al.. (2009). An evaluation of the mode of action framework for mutagenic carcinogens case study II: Chromium (VI). Environmental and Molecular Mutagenesis. 51(2). 89–111. 99 indexed citations
6.
Morris, Suzanne M., Gregory Akerman, Varsha G. Desai, et al.. (2007). Effect of p53 genotype on gene expression profiles in murine liver. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 640(1-2). 54–73. 3 indexed citations
7.
Akerman, Gregory, Barry A. Rosenzweig, Olen E. Domon, et al.. (2005). Alterations in gene expression profiles and the DNA‐damage response in ionizing radiation‐exposed TK6 cells. Environmental and Molecular Mutagenesis. 45(2-3). 188–205. 47 indexed citations
8.
Akerman, Gregory, Olen E. Domon, Lynda J. McGarrity, et al.. (2004). Gene expression profiles and genetic damage in benzo(a)pyrene diol epoxide-exposed TK6 cells. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 549(1-2). 43–64. 56 indexed citations
9.
Morris, S.M., et al.. (2003). Effect of dietary genistein on cell replication indices in C57BL6 mice. Cancer Letters. 195(2). 139–145. 10 indexed citations
10.
Akerman, Gregory, et al.. (2001). Human papillomavirus type 16 E6 and E7 cooperate to increase epidermal growth factor receptor (EGFR) mRNA levels, overcoming mechanisms by which excessive EGFR signaling shortens the life span of normal human keratinocytes.. PubMed. 61(9). 3837–43. 86 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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