Koji Eto
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 21
- Hematology top 0.2%
- Platelet Disorders and Treatments 64
- Hematopoietic Stem Cell Transplantation 16
- Immunology top 1%
- Cell Biology top 1%
- Genetics top 1%
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- Pluripotent Stem Cells Research 29
- CRISPR and Genetic Engineering 13
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- Blood properties and coagulation 14
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- Pancreatic function and diabetes 13
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- 3D Printing in Biomedical Research 12
- Co-authors
- Satoshi NishimuraSanford J. ShattilHiromitsu NakauchiMakoto OtsuNaoya TakayamaRyozo NagaiMasao NagasakiTakashi Kadowaki
- Journals
- Blood (30 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Koji Eto
149 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology and Allergy 1.6k
- Hematology 2.5k
- Immunology 2.0k
- Cell Biology 1.2k
- Genetics 701
Countries citing papers authored by Koji Eto
This map shows the geographic impact of Koji Eto'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 Koji Eto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Eto more than expected).
Fields of papers citing papers by Koji Eto
This network shows the impact of papers produced by Koji Eto. 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 Koji Eto. The network helps show where Koji Eto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koji Eto, 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 | 2024 | 3 | |
| 2 | 2021 | 6 | |
| 3 | 2021 | 11 | |
| 4 | 2021 | 7 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 27 | |
| 7 | 2012 | 9 | |
| 8 | [Potential usefulness of human iPS cells on the generation of platelets]. | 2011 | 1 |
| 9 | 2009 | 63 | |
| 10 | 2008 | 229 | |
| 11 | 2008 | 44 | |
| 12 | 2006 | 35 | |
| 13 | 2006 | 61 | |
| 14 | 2005 | 58 | |
| 15 | 2004 | 110 | |
| 16 | 2003 | 15 | |
| 17 | Change of Morphology during Heating of Amorphous Composite Powder in Si3N4-BN System (特集 アモルファス・ナノ結晶制御と高機能材料) | 2000 | 1 |
| 18 | 1997 | 16 | |
| 19 | 1997 | 33 | |
| 20 | 1996 | 5 |
About Koji Eto
Koji Eto is a scholar working on Hematology, Immunology and Allergy and Genetics, having authored 157 papers that have together received 8.9k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (64 papers), Pluripotent Stem Cells Research (29 papers), Cell Adhesion Molecules Research (21 papers), Hematopoietic Stem Cell Transplantation (16 papers), Blood properties and coagulation (14 papers), CRISPR and Genetic Engineering (13 papers), Pancreatic function and diabetes (13 papers) and 3D Printing in Biomedical Research (12 papers). The work is most often cited by research in Immunology and Allergy (1.6k citations), Hematology (2.5k citations) and Immunology (2.0k citations). Koji Eto has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Satoshi Nishimura, Sanford J. Shattil, Hiromitsu Nakauchi, Makoto Otsu, Naoya Takayama, Ryozo Nagai, Masao Nagasaki, Takashi Kadowaki, Ichiro Manabe and Kotaro Yoshimura. Their work appears in journals such as Blood, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Thrombosis and Haemostasis and The Journal of Experimental Medicine.
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.