Masayoshi Iizuka
- Biotechnology top 5%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 8
- Genomics and Chromatin Dynamics 8
- DNA Repair Mechanisms 7
- RNA modifications and cancer 5
- Histone Deacetylase Inhibitors Research 3
- RNA and protein synthesis mechanisms 3
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- Estrogen and related hormone effects 4
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- Cancer-related Molecular Pathways 4
- Co-authors
- M. Mitchell SmithBruce StillmanHidenori TachidaHaruhiko TakisawaTomoko MatsuiTakashi KurikiT. ImanakaS Okada
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masayoshi Iizuka
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Biotechnology 139
- Molecular Biology 1.0k
- Genetics 175
- Cancer Research 90
- Aging 9
Countries citing papers authored by Masayoshi Iizuka
This map shows the geographic impact of Masayoshi Iizuka'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 Masayoshi Iizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayoshi Iizuka more than expected).
Fields of papers citing papers by Masayoshi Iizuka
This network shows the impact of papers produced by Masayoshi Iizuka. 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 Masayoshi Iizuka. The network helps show where Masayoshi Iizuka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayoshi Iizuka, 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 | 2023 | 7 | |
| 2 | 2022 | 6 | |
| 3 | 2020 | 4 | |
| 4 | 2018 | 20 | |
| 5 | 2018 | 14 | |
| 6 | 2014 | 16 | |
| 7 | 2013 | 30 | |
| 8 | 2011 | 5 | |
| 9 | 2009 | 73 | |
| 10 | 2007 | 52 | |
| 11 | 2003 | 245 | |
| 12 | 1999 | 261 | |
| 13 | 1996 | 2 | |
| 14 | 1993 | 6 | |
| 15 | 1993 | 13 | |
| 16 | 1992 | 68 | |
| 17 | 1992 | 10 | |
| 18 | 1991 | 3 | |
| 19 | 1991 | 1 | |
| 20 | Volatile fatty acids as precursors of milk constituents in the lactating goat. | 1964 | 2 |
About Masayoshi Iizuka
Masayoshi Iizuka is a scholar working on Aging, Molecular Biology and Genetics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (8 papers), DNA Repair Mechanisms (7 papers), RNA modifications and cancer (5 papers), Estrogen and related hormone effects (4 papers), Cancer-related Molecular Pathways (4 papers), Histone Deacetylase Inhibitors Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Biotechnology (139 citations), Molecular Biology (1.0k citations) and Genetics (175 citations). Masayoshi Iizuka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include M. Mitchell Smith, Bruce Stillman, Hidenori Tachida, Haruhiko Takisawa, Tomoko Matsui, Takashi Kuriki, T. Imanaka, S Okada, H. Takata and Noshi Minamiura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.