Eiki Kimura

417 citations
25 papers · 322 · h-index 11

Impact in

Papers in

Eiki Kimura

23 papers receiving 317 citations

Peers

Eiki Kimura
Comparison fields: 5 of 73
  • Biological Psychiatry 29
  • Health, Toxicology and Mutagenesis 155
  • Developmental Neuroscience 31
  • Behavioral Neuroscience 21
  • Cellular and Molecular Neuroscience 62
Replace Lucas Weber with:
Lucas Weber Germany
Yun‐Jun Sun China
Sarah K. Kidd United States
Yahao Ren China
Marilena Raciti Sweden
Joy D. Iroegbu Nigeria
Janaína Sena de Souza Brazil
K. Das United States
Kanu Megha India
Eugenia Ricciardelli United States
Eiki Kimura relative to Lucas Weber Germany Lucas Weber's profile →
Citations per field
00.5×8.7×
Lucas Weber · 1×
Citations per year

Countries citing papers authored by Eiki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Eiki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eiki Kimura, 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 Eiki Kimura Line = papers co-authored together Eiki Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201750
3 201532
4 200029
5 201722
6 201621
7 199421
8 201621
9 201815
10 201713
11 202011
12 20218
13 20215
14 20224
15 20223
16 20213
17 20232
18 20242
19 20241
20 20241

About Eiki Kimura

Eiki Kimura is a scholar working on Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 322 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (12 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Carcinogens and Genotoxicity Assessment (4 papers), Neuropeptides and Animal Physiology (2 papers), Cancer Cells and Metastasis (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Thin-Film Transistor Technologies (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Health, Toxicology and Mutagenesis (155 citations), Developmental Neuroscience (31 citations), Behavioral Neuroscience (21 citations) and Cellular and Molecular Neuroscience (62 citations). Eiki Kimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Chiharu Tohyama, Masaki Kakeyama, Toshihiro Endo, Seico Benner, Kazuhito Yokoyama, Kazunori Nakajima, Ken‐ichiro Kubo, Wataru Miyazaki, Fumihiko Maekawa and Hiroshi Kitamura. Their work appears in journals such as Archives of Toxicology, Toxics, Scientific Reports, Histochemistry and Cell Biology and Disease Models & Mechanisms.

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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