Daisuke Nakada
Impact in
- Cancer Research top 1%
- Aging top 2%
Papers in
-
- RNA and protein synthesis mechanisms 11
- DNA Repair Mechanisms 9
- Epigenetics and DNA Methylation 9
- Pluripotent Stem Cells Research 6
- Genomics and Chromatin Dynamics 6
- Hematology 18
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 8
- Co-authors
- Sean J. Morrison (10 shared papers)Boris Magasanik (3 shared papers)Katsunori Sugimoto (6 shared papers)Shenghui He (1 shared paper)Thomas L. Saunders (1 shared paper)Ayumi Kitano (17 shared papers)Kunihiro Matsumoto (3 shared papers)Siddhartha Tyagi (1 shared paper)
- Journals
- Journal of Molecular Biology (9 papers)Blood (8 papers)Cell stem cell (4 papers)Nature (4 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Daisuke Nakada
75 papers receiving 5.0k citations
Daisuke Nakada's Hit Papers
Peers
Comparison fields: 5 of 129
- Cancer Research 1.0k
- Aging 124
- Hematology 688
- Molecular Biology 3.5k
- Developmental Neuroscience 137
Countries citing papers authored by Daisuke Nakada
This map shows the geographic impact of Daisuke Nakada'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 Daisuke Nakada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Nakada more than expected).
Fields of papers citing papers by Daisuke Nakada
This network shows the impact of papers produced by Daisuke Nakada. 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 Daisuke Nakada. The network helps show where Daisuke Nakada may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Nakada, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Energy-stress-mediated AMPK activation inhibits ferroptosis Hit paper breakdown → | 2020 | 890 |
| 2 | 2009 | 455 | |
| 3 | 2010 | 399 | |
| 4 | 2014 | 311 | |
| 5 | 1964 | 265 | |
| 6 | 2003 | 234 | |
| 7 | 2016 | 197 | |
| 8 | 2015 | 196 | |
| 9 | 2013 | 192 | |
| 10 | 2012 | 165 | |
| 11 | 2010 | 160 | |
| 12 | 2014 | 121 | |
| 13 | 2004 | 98 | |
| 14 | 2001 | 98 | |
| 15 | 1964 | 88 | |
| 16 | 1965 | 84 | |
| 17 | 2002 | 78 | |
| 18 | 2018 | 66 | |
| 19 | 1968 | 58 | |
| 20 | 2019 | 56 |
About Daisuke Nakada
Daisuke Nakada is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Oncology, having authored 78 papers that have together received 5.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), RNA and protein synthesis mechanisms (11 papers), DNA Repair Mechanisms (9 papers), Epigenetics and DNA Methylation (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Bacterial Genetics and Biotechnology (6 papers), Pluripotent Stem Cells Research (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (124 citations), Hematology (688 citations), Molecular Biology (3.5k citations) and Developmental Neuroscience (137 citations). Daisuke Nakada has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Sean J. Morrison, Boris Magasanik, Katsunori Sugimoto, Shenghui He, Thomas L. Saunders, Ayumi Kitano, Kunihiro Matsumoto, Siddhartha Tyagi, Fereshteh Zandkarimi and Gregory R. Steinberg. Their work appears in journals such as Journal of Molecular Biology, Blood, Cell stem cell, Nature 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.