Yoko Ejiri

1.3k citations
16 papers · 683 · h-index 12

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 9
    • Drug-Induced Hepatotoxicity and Protection 6
    • Viral Infectious Diseases and Gene Expression in Insects 3

Yoko Ejiri

16 papers receiving 660 citations

Peers

Yoko Ejiri
Comparison fields: 5 of 73
  • Developmental Neuroscience 132
  • Genetics 324
  • Cellular and Molecular Neuroscience 241
  • Pathology and Forensic Medicine 226
  • Pharmacology 90
Replace Zhongjie Yan with:
Zhongjie Yan China
Jai-Hee Moon South Korea
Seungjin Shin United States
Tao You China
Akira Shiroi Japan
Cungang Fan China
Sheng-Ping Fu China
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Shuwen Shen China
Yoko Ejiri relative to Zhongjie Yan China Zhongjie Yan's profile →
Citations per field
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Zhongjie Yan · 1×
Citations per year

Countries citing papers authored by Yoko Ejiri

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Ejiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2004232
2 2003191
3 201051
4 199937
5 201428
6 200120
7 201018
8 200017
9 201217
10 201215
11 201614
12 201814
13 20109
14 20148
15 20167
16 20175

About Yoko Ejiri

Yoko Ejiri is a scholar working on Pharmacology, Molecular Biology, Oncology, Hepatology and Biomedical Engineering, having authored 16 papers that have together received 683 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Liver physiology and pathology (4 papers), 3D Printing in Biomedical Research (4 papers), Transgenic Plants and Applications (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Genetics (324 citations), Cellular and Molecular Neuroscience (241 citations), Pathology and Forensic Medicine (226 citations) and Pharmacology (90 citations). Yoko Ejiri has collaborated with scholars based in Japan. Frequent co-authors include Chizuka Idé, Yoshihisa Suzuki, Toru Noda, Kazuya Kataoka, Masayoshi Ohta, Hongliang Bai, Hiroyuki Yoshida, Masaaki Terashima, Sufan Wu and Masaaki Kitada. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Biochemical Engineering Journal, Biochemical and Biophysical Research Communications, Experimental Neurology and Scientific Reports.

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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