Atsushi Akane

2.2k citations
89 papers · 1.7k indexed · h-index 21
Topics
Forensic and Genetic Research (17 papers)Molecular Biology Techniques and Applications (15 papers)Blood groups and transfusion (15 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Atsushi Akane

88 papers receiving 1.6k citations

Peers

Atsushi Akane
Comparison fields: 5 of 140
  • Molecular Biology 784
  • Genetics 392
  • Spectroscopy 157
  • Ecology 154
  • Epidemiology 138
Replace Maria Elisabete Amaral de Moraes with:
Maria Elisabete Amaral de Moraes Brazil
Chuan Li China
Shigeki Nakamura Japan
Robert Wilson United Kingdom
Kazuyuki Suzuki Japan
Hiroshi Ikegaya Japan
Michael Affolter Switzerland
W.H. Stimson United Kingdom
Young Ran Kim South Korea
Koichi Sakurada Japan
Atsushi Akane relative to Maria Elisabete Amaral de Moraes Brazil Maria Elisabete Amaral de Moraes's profile →
Citations per field
00.5×6.4×
Maria Elisabete Amaral de Moraes · 1×
Citations per year

Countries citing papers authored by Atsushi Akane

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Akane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Akane

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Akane. A scholar is included among the top collaborators of Atsushi Akane 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 Atsushi Akane. Atsushi Akane 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 6
2 62
3 14
4 4
5 3
6 16
7 1
8
A-19 Effects of Acute Ethanol Intoxication on Blood Ethanol Concentration and Ethanol-Induced Fatty Liver in Mice, Rats, Hamsters and Guinea-Pigs
2
9 3
10 6
11 20
12 5
13 90
14 16
15 9
16 9
17 13
18 13
19 69
20 18

About Atsushi Akane

Atsushi Akane is a scholar working on Toxicology, Hematology and Gastroenterology, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Forensic and Genetic Research (17 papers), Molecular Biology Techniques and Applications (15 papers) and Blood groups and transfusion (15 papers). The work is most often cited by research in Toxicology (60 citations), Genetics (392 citations) and Molecular Biology (784 citations). Atsushi Akane has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroaki Nakamura, Kiminori Matsubara, Hiroshi Shiono, Kojiro Kimura, Sei Takahashi, Kazuo Matsubara, Manabu Yoshida, Chikatoshi Maseda, Masaki Hashiyada and S Fukushima. Their work appears in journals such as Analytical Chemistry, Brain Research and The Journal of Urology.

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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