Gregory Akerman

551 citations
10 papers · 426 indexed · h-index 7

Gregory Akerman

10 papers receiving 410 citations

Peers

Gregory Akerman
Comparison fields: 5 of 86
  • Cancer Research 136
  • Health, Toxicology and Mutagenesis 120
  • Small Animals 36
  • Pollution 36
  • Oncology 70
Replace Cristina Croera with:
Cristina Croera Italy
Joanna Klapacz United States
Lili Qian China
Sarah Labib Canada
Hye Lim Kim South Korea
Douglas C. Topping United States
R. Bechter Switzerland
Karen Harrington‐Brock United States
Albrecht Poth Germany
G. Plas Belgium
Gregory Akerman relative to Cristina Croera Italy Cristina Croera's profile →
Citations per field
00.5×3.0×
Cristina Croera · 1×
Citations per year

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

The 25 scholars most cited alongside Gregory Akerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory Akerman Line = papers co-authored together Gregory Akerman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20242
2 20211
3 201933
4 200989
5 200999
6 20073
7 200547
8 200456
9 200310
10
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.
200186

About Gregory Akerman

Gregory Akerman is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Dermatology, having authored 10 papers that have together received 426 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (4 papers), Cancer-related Molecular Pathways (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), RNA modifications and cancer (1 paper), Pesticide Residue Analysis and Safety (1 paper), Estrogen and related hormone effects (1 paper), DNA Repair Mechanisms (1 paper) and Chemical Analysis and Environmental Impact (1 paper). The work is most often cited by research in Cancer Research (136 citations), Health, Toxicology and Mutagenesis (120 citations) and Small Animals (36 citations). Gregory Akerman has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Nancy McCarroll, Nagalakshmi Keshava, Jonathan H. Chen, Andrew D. Kligerman, Lynda J. McGarrity, Olen E. Domon, Chen‐An Tsai, James T. MacGregor, Frank D. Sistare and William H. Tolleson. Their work appears in journals such as Environmental and Molecular Mutagenesis, Regulatory Toxicology and Pharmacology, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Toxicology Letters and Cancer Letters.

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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