Miki Takeuchi
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Developmental Neuroscience top 10%
Papers in
-
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Hematology 15
- Chronic Myeloid Leukemia Treatments 12
- Co-authors
- Eishi Ashihara (21 shared papers)Shinya Kimura (21 shared papers)Taira Maekawa (17 shared papers)Asumi Yokota (16 shared papers)Masahiko Hibi (9 shared papers)Makoto Kobayashi (7 shared papers)Ruriko Tanaka (15 shared papers)Junya Kuroda (10 shared papers)
- Journals
- Blood (6 papers)Developmental Biology (3 papers)Cancer Letters (2 papers)Leukemia Research (2 papers)Cell Death and Differentiation (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Miki Takeuchi
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Hematology 186
- Developmental Neuroscience 46
- Cell Biology 178
- Genetics 103
- Molecular Biology 600
Countries citing papers authored by Miki Takeuchi
This map shows the geographic impact of Miki Takeuchi'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 Miki Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miki Takeuchi more than expected).
Fields of papers citing papers by Miki Takeuchi
This network shows the impact of papers produced by Miki Takeuchi. 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 Miki Takeuchi. The network helps show where Miki Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Miki Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 86 | |
| 2 | 2007 | 70 | |
| 3 | 2020 | 58 | |
| 4 | 2007 | 57 | |
| 5 | 2010 | 56 | |
| 6 | 2009 | 55 | |
| 7 | 2014 | 55 | |
| 8 | 2007 | 52 | |
| 9 | 2008 | 47 | |
| 10 | 2008 | 47 | |
| 11 | 2015 | 45 | |
| 12 | 2011 | 42 | |
| 13 | 2010 | 41 | |
| 14 | 2018 | 41 | |
| 15 | 2017 | 37 | |
| 16 | 2015 | 36 | |
| 17 | 2010 | 33 | |
| 18 | 2010 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2010 | 28 |
About Miki Takeuchi
Miki Takeuchi is a scholar working on Molecular Biology, Hematology, Cell Biology, Genetics and Rheumatology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (12 papers), Zebrafish Biomedical Research Applications (10 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers), Bone health and treatments (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (186 citations), Developmental Neuroscience (46 citations), Cell Biology (178 citations), Genetics (103 citations) and Molecular Biology (600 citations). Miki Takeuchi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Eishi Ashihara, Shinya Kimura, Taira Maekawa, Asumi Yokota, Masahiko Hibi, Makoto Kobayashi, Ruriko Tanaka, Junya Kuroda, Takashi Shimizu and Masafumi Taniwaki. Their work appears in journals such as Blood, Developmental Biology, Cancer Letters, Leukemia Research and Cell Death and Differentiation.
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.