Takehide Murata
Impact in
- Genetics top 5%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Microbial Metabolic Engineering and Bioproduction
Papers in
- Co-authors
- Kazunari K. YokoyamaHitoshi UedaSusumu HiroseHideyo UgaiNobuhiko NomuraTadaatsu NakaharaXiaoxian ZhaoChunyuan Jin
- Journals
- Biochemical and Biophysical Research Communications (7 papers)Applied Radiation and Isotopes (5 papers)Journal of Biological Chemistry (5 papers)European Journal of Biochemistry (4 papers)Molecular and Cellular Biology (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takehide Murata
59 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 120
- Genetics 622
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 311
- Pollution 187
- Endocrine and Autonomic Systems 76
Countries citing papers authored by Takehide Murata
This map shows the geographic impact of Takehide Murata'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 Takehide Murata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehide Murata more than expected).
Fields of papers citing papers by Takehide Murata
This network shows the impact of papers produced by Takehide Murata. 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 Takehide Murata. The network helps show where Takehide Murata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takehide Murata, 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 | 2010 | 42 | |
| 2 | 2009 | 30 | |
| 3 | 2008 | 46 | |
| 4 | 2008 | 16 | |
| 5 | 2007 | 45 | |
| 6 | 2006 | 17 | |
| 7 | 2005 | 3 | |
| 8 | 2003 | 94 | |
| 9 | 2002 | 111 | |
| 10 | 2002 | 13 | |
| 11 | 2002 | 5 | |
| 12 | 2001 | 71 | |
| 13 | 2001 | 92 | |
| 14 | 2001 | 65 | |
| 15 | 2000 | 69 | |
| 16 | 2000 | 50 | |
| 17 | 1999 | 14 | |
| 18 | 1999 | 17 | |
| 19 | 1996 | 12 | |
| 20 | 1995 | 15 |
About Takehide Murata
Takehide Murata is a scholar working on Aging, Genetics, Molecular Biology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Genomics and Chromatin Dynamics (11 papers), RNA Interference and Gene Delivery (9 papers), CRISPR and Genetic Engineering (7 papers), Neurobiology and Insect Physiology Research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Animal Genetics and Reproduction (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Genetics (622 citations), Molecular Biology (1.5k citations), Cellular and Molecular Neuroscience (311 citations), Pollution (187 citations) and Endocrine and Autonomic Systems (76 citations). Takehide Murata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazunari K. Yokoyama, Hitoshi Ueda, Susumu Hirose, Hideyo Ugai, Nobuhiko Nomura, Tadaatsu Nakahara, Xiaoxian Zhao, Chunyuan Jin, Yuichi Obata and Kailai Sun. Their work appears in journals such as Biochemical and Biophysical Research Communications, Applied Radiation and Isotopes, Journal of Biological Chemistry, European Journal of Biochemistry and Molecular and Cellular Biology.
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.