Nobukuni Sawai
- Hematology top 5%
- Platelet Disorders and Treatments 13
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 4
- Immunology top 10%
- Mast cells and histamine 5
- Immunodeficiency and Autoimmune Disorders 3
- Immunology and Allergy top 10%
- Genetics top 10%
- Virus-based gene therapy research 4
- Chronic Lymphocytic Leukemia Research 4
- Blood disorders and treatments 3
- Genetics top 10%
- Virus-based gene therapy research 4
- Chronic Lymphocytic Leukemia Research 4
- Blood disorders and treatments 3
- Co-authors
- Kenichi KoikeBrian P. SorrentinoTsukasa HiguchiThomas P. BrentAtsushi KomiyamaTatsuya KinoshitaSheng ZhouTetsuji Yamashita
- Partner nations
- JapanUnited StatesNigeria
In The Last Decade
Nobukuni Sawai
28 papers receiving 707 citations
Peers
Comparison fields: 5 of 67
- Hematology 227
- Immunology 294
- Immunology and Allergy 70
- Genetics 102
- Genetics 197
Countries citing papers authored by Nobukuni Sawai
This map shows the geographic impact of Nobukuni Sawai'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 Nobukuni Sawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobukuni Sawai more than expected).
Fields of papers citing papers by Nobukuni Sawai
This network shows the impact of papers produced by Nobukuni Sawai. 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 Nobukuni Sawai. The network helps show where Nobukuni Sawai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobukuni Sawai, 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 | 2008 | 44 | |
| 2 | 2003 | 6 | |
| 3 | 2003 | 100 | |
| 4 | 2003 | 21 | |
| 5 | 2001 | 99 | |
| 6 | 2000 | 6 | |
| 7 | 2000 | 33 | |
| 8 | 1999 | 3 | |
| 9 | 1999 | 4 | |
| 10 | 1999 | 48 | |
| 11 | 1999 | 65 | |
| 12 | Lupus nephritis in juvenile myelomonocytic leukemia. | 1999 | 8 |
| 13 | 1999 | 3 | |
| 14 | 1999 | 37 | |
| 15 | 1998 | 22 | |
| 16 | 1998 | 8 | |
| 17 | 1998 | 1 | |
| 18 | 1997 | 19 | |
| 19 | 1997 | 11 | |
| 20 | [Abnormalities in regulation system of granulopoiesis]. | 1993 | 1 |
About Nobukuni Sawai
Nobukuni Sawai is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 28 papers that have together received 713 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Mast cells and histamine (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers), Virus-based gene therapy research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Hematology (227 citations), Immunology (294 citations) and Immunology and Allergy (70 citations). Nobukuni Sawai has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Kenichi Koike, Brian P. Sorrentino, Tsukasa Higuchi, Thomas P. Brent, Atsushi Komiyama, Tatsuya Kinoshita, Sheng Zhou, Tetsuji Yamashita, Derek A. Persons and Masaaki Shiohara. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences and Stem Cells.
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.