Tetsushi Nakao
- Hematology top 5%
- Acute Myeloid Leukemia Research 7
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Genetic Associations and Epidemiology 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 3
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- Atherosclerosis and Cardiovascular Diseases 4
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- Circular RNAs in diseases 3
- Co-authors
- Koh OnoYasuhide KuwabaraTomohiro NishinoMasataka NishigaTakahiro HorieOsamu BabaMasayasu IzuharaAbhishek Niroula
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Circulation (4 papers)Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Tetsushi Nakao
26 papers receiving 679 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Hematology 196
- Genetics 155
- Cancer Research 153
- Cardiology and Cardiovascular Medicine 178
- Aging 11
Countries citing papers authored by Tetsushi Nakao
This map shows the geographic impact of Tetsushi Nakao'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 Tetsushi Nakao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsushi Nakao more than expected).
Fields of papers citing papers by Tetsushi Nakao
This network shows the impact of papers produced by Tetsushi Nakao. 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 Tetsushi Nakao. The network helps show where Tetsushi Nakao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsushi Nakao, 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 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 4 | |
| 4 | Colchicine prevents accelerated atherosclerosis in TET2-mutant clonal haematopoiesisbreakdown → | 2024 | 36 |
| 5 | 2023 | 1 | |
| 6 | 2023 | 17 | |
| 7 | Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Diseasebreakdown → | 2023 | 83 |
| 8 | 2023 | 11 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 44 | |
| 13 | 2020 | 96 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 12 | |
| 16 | 2017 | 28 | |
| 17 | Abstract 17676: Microrna-33b Promotes Atherosclerotic Plaque Formation in Apoe-/- Mice | 2017 | 1 |
| 18 | 2017 | 30 | |
| 19 | 2016 | 13 | |
| 20 | 2015 | 27 |
About Tetsushi Nakao
Tetsushi Nakao is a scholar working on Hematology, Cancer Research and Genetics, having authored 28 papers that have together received 682 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), MicroRNA in disease regulation (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Hematology (196 citations), Genetics (155 citations) and Cancer Research (153 citations). Tetsushi Nakao has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Koh Ono, Yasuhide Kuwabara, Tomohiro Nishino, Masataka Nishiga, Takahiro Horie, Osamu Baba, Masayasu Izuhara, Abhishek Niroula, Pradeep Natarajan and Shunsuke Usami. Their work appears in journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.