Akifumi Eguchi

3.3k citations
141 papers · 2.2k indexed · h-index 26
Topics
Toxic Organic Pollutants Impact (28 papers)COVID-19 epidemiological studies (19 papers)Effects and risks of endocrine disrupting chemicals (16 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Akifumi Eguchi

128 papers receiving 2.2k citations

Peers

Akifumi Eguchi
Comparison fields: 5 of 174
  • Health, Toxicology and Mutagenesis 743
  • Molecular Biology 294
  • Pollution 264
  • Clinical Psychology 245
  • Health 244
Replace Marc Chadeau‐Hyam with:
Marc Chadeau‐Hyam United Kingdom
Igor Burstyn United States
Barbara A. Cohn United States
Huan Guo China
Chaowei Fu China
Yuliya Semenova Kazakhstan
Piera M. Cirillo United States
Gary G. Schwartz United States
Trevor Dummer Canada
Akifumi Eguchi relative to Marc Chadeau‐Hyam United Kingdom Marc Chadeau‐Hyam's profile →
Citations per field
00.5×1.5×
Marc Chadeau‐Hyam · 1×
Citations per year

Countries citing papers authored by Akifumi Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Akifumi Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akifumi Eguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Akifumi Eguchi. A scholar is included among the top collaborators of Akifumi Eguchi 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 Akifumi Eguchi. Akifumi Eguchi 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 1
2 4
3 7
4 0
5 0
6 1
7 5
8 5
9 0
10 11
11 5
12 4
13 4
14 6
15 1
16 4
17 14
18 8
19 3
20 15

About Akifumi Eguchi

Akifumi Eguchi is a scholar working on Biological Psychiatry, Modeling and Simulation and Health, Toxicology and Mutagenesis, having authored 141 papers that have together received 2.2k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (28 papers), COVID-19 epidemiological studies (19 papers) and Effects and risks of endocrine disrupting chemicals (16 papers). The work is most often cited by research in Biological Psychiatry (152 citations), Health, Toxicology and Mutagenesis (743 citations) and Modeling and Simulation (203 citations). Akifumi Eguchi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Chisato Mori, Shuhei Nomura, Shinsuke Tanabe, Daisuke Yoneoka, Yuta Tanoue, Takayuki Kawashima, Kei Nomiyama, Kenji Hashimoto, Hiroaki Miyata and Stuart Gilmour. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

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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