Sawa Ito
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 34
- Hematopoietic Stem Cell Transplantation 22
- Acute Myeloid Leukemia Research 14
- Immunology 22
- Immune Cell Function and Interaction 18
- Immunotherapy and Immune Responses 10
- T-cell and B-cell Immunology 6
- Co-authors
- A. John Barrett (22 shared papers)Minoo Battiwalla (38 shared papers)A. John Barrett (13 shared papers)Pawel Muranski (21 shared papers)Keyvan Keyvanfar (14 shared papers)Nancy F. Hensel (14 shared papers)Xingmin Feng (7 shared papers)Neal S. Young (6 shared papers)
- Journals
- Blood (22 papers)Bone Marrow Transplantation (7 papers)Biology of Blood and Marrow Transplantation (5 papers)Cytotherapy (4 papers)Blood Advances (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Sawa Ito
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Hematology 437
- Genetics 277
- Immunology 446
- Oncology 225
- Rheumatology 95
Countries citing papers authored by Sawa Ito
This map shows the geographic impact of Sawa Ito'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 Sawa Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sawa Ito more than expected).
Fields of papers citing papers by Sawa Ito
This network shows the impact of papers produced by Sawa Ito. 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 Sawa Ito. The network helps show where Sawa Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Sawa Ito, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 151 | |
| 2 | 2014 | 107 | |
| 3 | 2014 | 95 | |
| 4 | 2013 | 81 | |
| 5 | 2016 | 75 | |
| 6 | 2014 | 74 | |
| 7 | 2014 | 54 | |
| 8 | 2022 | 49 | |
| 9 | 2014 | 46 | |
| 10 | 2015 | 41 | |
| 11 | 2007 | 40 | |
| 12 | 2015 | 39 | |
| 13 | 2018 | 35 | |
| 14 | 2015 | 31 | |
| 15 | 2013 | 27 | |
| 16 | 2016 | 24 | |
| 17 | 2017 | 21 | |
| 18 | 2019 | 19 | |
| 19 | 2012 | 19 | |
| 20 | 2013 | 16 |
About Sawa Ito
Sawa Ito is a scholar working on Hematology, Immunology, Oncology, Genetics and Epidemiology, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Immune Cell Function and Interaction (18 papers), Acute Myeloid Leukemia Research (14 papers), CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (10 papers), Cytomegalovirus and herpesvirus research (8 papers), Mesenchymal stem cell research (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Hematology (437 citations), Genetics (277 citations), Immunology (446 citations), Oncology (225 citations) and Rheumatology (95 citations). Sawa Ito has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include A. John Barrett, Minoo Battiwalla, A. John Barrett, Pawel Muranski, Keyvan Keyvanfar, Nancy F. Hensel, Xingmin Feng, Neal S. Young, Sachiko Kajigaya and Priyanka A. Pophali. Their work appears in journals such as Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Cytotherapy and Blood Advances.
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.