Yoko Ejiri
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Pharmacology 10
- Pharmacogenetics and Drug Metabolism 9
- Drug-Induced Hepatotoxicity and Protection 6
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- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Masayoshi Ohta (2 shared papers)Kazuya Kataoka (2 shared papers)Toru Noda (2 shared papers)Yoshihisa Suzuki (2 shared papers)Chizuka Idé (2 shared papers)Sufan Wu (1 shared paper)Masaaki Kitada (1 shared paper)Masaaki Terashima (3 shared papers)
- Journals
- Drug Metabolism and Pharmacokinetics (5 papers)Biochemical Engineering Journal (2 papers)Biochemical and Biophysical Research Communications (2 papers)Biotechnology Progress (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yoko Ejiri
16 papers receiving 661 citations
Peers
Comparison fields: 5 of 70
- Genetics 273
- Developmental Neuroscience 103
- Cellular and Molecular Neuroscience 201
- Pathology and Forensic Medicine 167
- Pharmacology 84
Countries citing papers authored by Yoko Ejiri
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 232 | |
| 2 | 2003 | 191 | |
| 3 | 2010 | 51 | |
| 4 | 1999 | 37 | |
| 5 | 2014 | 28 | |
| 6 | 2001 | 20 | |
| 7 | 2010 | 19 | |
| 8 | 2000 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2012 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2010 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2017 | 5 |
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 684 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), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Transgenic Plants and Applications (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Genetics (273 citations), Developmental Neuroscience (103 citations), Cellular and Molecular Neuroscience (201 citations), Pathology and Forensic Medicine (167 citations) and Pharmacology (84 citations). Yoko Ejiri has collaborated with scholars based in Japan and United States. Frequent co-authors include Masayoshi Ohta, Kazuya Kataoka, Toru Noda, Yoshihisa Suzuki, Chizuka Idé, Sufan Wu, Masaaki Kitada, Masaaki Terashima, Hiroyuki Yoshida and Hongliang Bai. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Biochemical Engineering Journal, Biochemical and Biophysical Research Communications, Biotechnology Progress 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.