Yuji Akechi
Impact in
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- Genetic Neurodegenerative Diseases
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- Retinoids in leukemia and cellular processes 4
- Ubiquitin and proteasome pathways 1
- Mitochondrial Function and Pathology 1
- Cell death mechanisms and regulation 1
- Genetics 2
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Toshiyuki Habu (1 shared paper)Toshiaki Hitomi (1 shared paper)Hiroko Okuda (1 shared paper)Wanyang Liu (1 shared paper)Yoshio Ikeda (1 shared paper)Akio Koizumi (1 shared paper)Tohru Matsuura (1 shared paper)Kōji Abe (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of Hepatology (1 paper)Hepatology (1 paper)Biological and Pharmaceutical Bulletin (1 paper)Gastroenterology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yuji Akechi
11 papers receiving 432 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 132
- Hepatology 47
- Genetics 63
- Neurology 51
- Molecular Biology 236
Countries citing papers authored by Yuji Akechi
This map shows the geographic impact of Yuji Akechi'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 Yuji Akechi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Akechi more than expected).
Fields of papers citing papers by Yuji Akechi
This network shows the impact of papers produced by Yuji Akechi. 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 Yuji Akechi. The network helps show where Yuji Akechi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuji Akechi, 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 | 2011 | 185 | |
| 2 | 2008 | 81 | |
| 3 | 2008 | 55 | |
| 4 | 2008 | 53 | |
| 5 | 2013 | 24 | |
| 6 | Ishii, K, Yoshida, Y, Akechi, Y, Sakabe, T, Nishio, R, Ikeda, R et al.. Hepatic differentiation of human bone marrow-derived mesenchymal stem cells by tetracycline-regulated hepatocyte nuclear factor 3beta. Hepatology 48: 597-606 | 2008 | 15 |
| 7 | 2009 | 9 | |
| 8 | 2010 | 9 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 1 |
About Yuji Akechi
Yuji Akechi is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Immunology and Pathology and Forensic Medicine, having authored 11 papers that have together received 437 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (4 papers), interferon and immune responses (2 papers), Advanced Glycation End Products research (2 papers), Soft tissue tumors and treatment (1 paper), Ubiquitin and proteasome pathways (1 paper), Mitochondrial Function and Pathology (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (132 citations), Hepatology (47 citations), Genetics (63 citations), Neurology (51 citations) and Molecular Biology (236 citations). Yuji Akechi has collaborated with scholars based in Japan and United States. Frequent co-authors include Toshiyuki Habu, Toshiaki Hitomi, Hiroko Okuda, Wanyang Liu, Yoshio Ikeda, Akio Koizumi, Tohru Matsuura, Kōji Abe, Hatasu Kobayashi and Goshi Shiota. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Hepatology, Hepatology, Biological and Pharmaceutical Bulletin and Gastroenterology.
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.