Mayuko Kurome
Impact in
- Genetics top 1%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
Papers in
- Genetics 53
- Animal Genetics and Reproduction 46
- Virus-based gene therapy research 15
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- CRISPR and Genetic Engineering 33
- Pluripotent Stem Cells Research 29
- Muscle Physiology and Disorders 7
- Co-authors
- Hiroshi NagashimaEckhard WolfBarbara KeßlerNikolai KlymiukR. TomiiValeri ZakhartchenkoAnnegret WünschSimone Renner
In The Last Decade
Mayuko Kurome
74 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 90
- Genetics 1.2k
- Molecular Biology 1.3k
- Surgery 782
- Public Health, Environmental and Occupational Health 493
- Reproductive Medicine 130
Countries citing papers authored by Mayuko Kurome
This map shows the geographic impact of Mayuko Kurome'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 Mayuko Kurome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayuko Kurome more than expected).
Fields of papers citing papers by Mayuko Kurome
This network shows the impact of papers produced by Mayuko Kurome. 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 Mayuko Kurome. The network helps show where Mayuko Kurome may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayuko Kurome, 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 | 2025 | 16 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 55 | |
| 10 | Inactivation of the GHR gene - a strategy to overcome excess growth of orthotopic pig-to-baboon cardiac xenografts? | 2017 | 1 |
| 11 | 2012 | 95 | |
| 12 | 2012 | 14 | |
| 13 | 2012 | 94 | |
| 14 | Comparison of transgene expression patterns in mouse embryos following ICSI-mediated gene transfer or pronuclear microinjection | 2010 | 1 |
| 15 | 2008 | 47 | |
| 16 | 2008 | 14 | |
| 17 | 2005 | 35 | |
| 18 | 2004 | 23 | |
| 19 | 2003 | 38 | |
| 20 | 2002 | 14 |
About Mayuko Kurome
Mayuko Kurome is a scholar working on Genetics, Molecular Biology, Surgery, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (46 papers), CRISPR and Genetic Engineering (33 papers), Pluripotent Stem Cells Research (29 papers), Xenotransplantation and immune response (25 papers), Reproductive Biology and Fertility (18 papers), Virus-based gene therapy research (15 papers), Muscle Physiology and Disorders (7 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Genetics (1.2k citations), Molecular Biology (1.3k citations), Surgery (782 citations), Public Health, Environmental and Occupational Health (493 citations) and Reproductive Medicine (130 citations). Mayuko Kurome has collaborated with scholars based in Germany, Japan and France. Frequent co-authors include Hiroshi Nagashima, Eckhard Wolf, Barbara Keßler, Nikolai Klymiuk, R. Tomii, Valeri Zakhartchenko, Annegret Wünsch, Simone Renner, Satoshi Ueno and Hitomi Matsunari. Their work appears in journals such as Journal of Reproduction and Development, Reproduction Fertility and Development, Xenotransplantation, Transgenic Research and Proceedings of the National Academy of Sciences.
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.