Keisei Kawa
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 37
- Acute Myeloid Leukemia Research 16
- Autoimmune and Inflammatory Disorders Research 9
- Immunology top 1%
- Immune Cell Function and Interaction 21
- Oncology top 1%
- Viral-associated cancers and disorders 25
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 14
- Transplantation top 5%
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- Acute Lymphoblastic Leukemia research 19
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- Neuroblastoma Research and Treatments 14
- Co-authors
- Hiroshi KimuraRitsuro SuzukiMasami InoueTakayuki OkamuraHirokazu KaneganeYoshiko AtsutaShigeo NakamuraAkihisa Sawada
- Cited by
- HematologyImmunologyOncology
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Keisei Kawa
109 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 95
- Hematology 1.8k
- Immunology 1.8k
- Oncology 2.1k
- Pathology and Forensic Medicine 1.2k
- Transplantation 97
Countries citing papers authored by Keisei Kawa
This map shows the geographic impact of Keisei Kawa'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 Keisei Kawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisei Kawa more than expected).
Fields of papers citing papers by Keisei Kawa
This network shows the impact of papers produced by Keisei Kawa. 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 Keisei Kawa. The network helps show where Keisei Kawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keisei Kawa, 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 | 2015 | 5 | |
| 2 | 2014 | 111 | |
| 3 | 2012 | 77 | |
| 4 | 2011 | 6 | |
| 5 | 2009 | 240 | |
| 6 | 2009 | 26 | |
| 7 | [The unification of hematopoietic stem cell transplantation registry in Japan and establishment of the TRUMP system]. | 2007 | 1 |
| 8 | 2007 | 22 | |
| 9 | 2007 | 323 | |
| 10 | 2007 | 242 | |
| 11 | 2006 | 11 | |
| 12 | 2006 | 22 | |
| 13 | 2004 | 7 | |
| 14 | 2004 | 12 | |
| 15 | 2003 | 166 | |
| 16 | 2002 | 83 | |
| 17 | 2002 | 1 | |
| 18 | 1999 | 62 | |
| 19 | 1999 | 16 | |
| 20 | CHRONIC ACTIVE EPSTEIN-BARR VIRUS INFECTION AND LYMPHOPROLIFERATIVE DISEASES | 1998 | 7 |
About Keisei Kawa
Keisei Kawa is a scholar working on Hematology, Immunology and Oncology, having authored 109 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (37 papers), Viral-associated cancers and disorders (25 papers), Immune Cell Function and Interaction (21 papers), Acute Lymphoblastic Leukemia research (19 papers), Acute Myeloid Leukemia Research (16 papers), Neuroblastoma Research and Treatments (14 papers), Lymphoma Diagnosis and Treatment (14 papers) and Autoimmune and Inflammatory Disorders Research (9 papers). The work is most often cited by research in Hematology (1.8k citations), Immunology (1.8k citations) and Oncology (2.1k citations). Keisei Kawa has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroshi Kimura, Ritsuro Suzuki, Masami Inoue, Takayuki Okamura, Hirokazu Kanegane, Yoshiko Atsuta, Shigeo Nakamura, Akihisa Sawada, Kazuo Oshimi and Shouichi Ohga. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Cancer.
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.