Akihiro Wakata

22 papers receiving 1.5k citations

Hit Papers

Report from the in vitro micronucleus assay working group20032026201020182003100200300400500

Peers

Akihiro Wakata
Comparison fields: 5 of 112
  • Cancer Research 1.1k
  • Health, Toxicology and Mutagenesis 636
  • Molecular Biology 598
  • Plant Science 415
  • Food Science 119
Replace Elisabeth Lorge with:
Elisabeth Lorge France
Michael F. Salamone Canada
Véronique Thybaud France
Silvio Albertini Switzerland
Michael C. Cimino United States
David H. Blakey Canada
Daryl W. Fairbairn United States
M.H.L. Green United Kingdom
Motoi Ishidate Japan
Leslie Recio United States
Akihiro Wakata relative to Elisabeth Lorge France Elisabeth Lorge's profile →
Citations per field
00.5×1.5×
Elisabeth Lorge · 1×
Citations per year

Countries citing papers authored by Akihiro Wakata

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Wakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Wakata

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Wakata. A scholar is included among the top collaborators of Akihiro Wakata 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 Akihiro Wakata. Akihiro Wakata 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
#WorkIndexed citations
1 5
2 4
3 8
4 43
5 3
6 9
7 7
8 15
9 21
10 93
11
Report from the in vitro micronucleus assay working groupbreakdown →
510
12 238
13 19
14 1
15 110
16 7
17 221
18 13
19 93
20 115

About Akihiro Wakata

Akihiro Wakata is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Toxicology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (18 papers), Effects and risks of endocrine disrupting chemicals (10 papers) and DNA Repair Mechanisms (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Chemical Health and Safety (42 citations) and Health, Toxicology and Mutagenesis (636 citations). Akihiro Wakata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Toshio Sofuni, Takeshi Morita, Elisabeth Lorge, Marilyn J. Aardema, Silvio Albertini, Micheline Kirsch‐Volders, Michael Fenech, David A. Eastmond, Hannu Norppa and M.S. Sasaki. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Environmental and Molecular Mutagenesis.

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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