Masatoshi Takagi
- Molecular Biology top 2%
- DNA Repair Mechanisms 31
- Genomics and Chromatin Dynamics 16
- RNA Research and Splicing 16
- Oncology top 5%
- Cancer-related Molecular Pathways 18
- Cancer Research top 5%
- Cell Biology top 2%
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders 16
- Immune Cell Function and Interaction 11
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- Acute Lymphoblastic Leukemia research 24
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- Acute Myeloid Leukemia Research 16
- Co-authors
- Michael B. KastanKevin G. McLureMichael J. AbsalonShuki MizutaniNaoko ImamotoTomohiro MorioYoshihiro YonedaHirokazu Kanegane
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (7 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Masatoshi Takagi
171 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 2.6k
- Oncology 943
- Cancer Research 490
- Cell Biology 511
- Immunology 656
Countries citing papers authored by Masatoshi Takagi
This map shows the geographic impact of Masatoshi Takagi'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 Masatoshi Takagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Takagi more than expected).
Fields of papers citing papers by Masatoshi Takagi
This network shows the impact of papers produced by Masatoshi Takagi. 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 Masatoshi Takagi. The network helps show where Masatoshi Takagi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masatoshi Takagi, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 40 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 59 | |
| 12 | 2016 | 33 | |
| 13 | 2014 | 1 | |
| 14 | 2010 | 32 | |
| 15 | 2009 | 126 | |
| 16 | 2005 | 32 | |
| 17 | Regulation of p53 Translation and Induction after DNA Damage by Ribosomal Protein L26 and Nucleolinbreakdown → | 2005 | 535 |
| 18 | 2002 | 13 | |
| 19 | 1999 | 3 | |
| 20 | 1995 | 0 |
About Masatoshi Takagi
Masatoshi Takagi is a scholar working on Hematology, Immunology and Oncology, having authored 181 papers that have together received 4.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (31 papers), Acute Lymphoblastic Leukemia research (24 papers), Cancer-related Molecular Pathways (18 papers), Genomics and Chromatin Dynamics (16 papers), Acute Myeloid Leukemia Research (16 papers), Immunodeficiency and Autoimmune Disorders (16 papers), RNA Research and Splicing (16 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Oncology (943 citations) and Cancer Research (490 citations). Masatoshi Takagi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Michael B. Kastan, Kevin G. McLure, Michael J. Absalon, Shuki Mizutani, Naoko Imamoto, Tomohiro Morio, Yoshihiro Yoneda, Hirokazu Kanegane, Keiji Yamamoto and Kohsuke Imai. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.