Kenji Ikebuchi
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Hematology 40
- Hematopoietic Stem Cell Transplantation 20
- Platelet Disorders and Treatments 13
- Blood groups and transfusion 11
- Immunology 26
- Immune Cell Function and Interaction 7
- Co-authors
- Makio OgawaGG WongStephen ClarkYoshikatsu HiraiJ N IhleHisami IkedaMitsuhiro FujiharaHitoshi Miyazawa
- Journals
- Blood (10 papers)Transfusion (8 papers)Palliative & Supportive Care (5 papers)Photochemistry and Photobiology (4 papers)Experimental Hematology (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kenji Ikebuchi
113 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Hematology 990
- Genetics 477
- Immunology 868
- Oncology 1.1k
- Pulmonary and Respiratory Medicine 846
Countries citing papers authored by Kenji Ikebuchi
This map shows the geographic impact of Kenji Ikebuchi'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 Kenji Ikebuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Ikebuchi more than expected).
Fields of papers citing papers by Kenji Ikebuchi
This network shows the impact of papers produced by Kenji Ikebuchi. 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 Kenji Ikebuchi. The network helps show where Kenji Ikebuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenji Ikebuchi, 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 | 2019 | 56 | |
| 2 | 2019 | 5 | |
| 3 | 2017 | 13 | |
| 4 | 2010 | 1 | |
| 5 | 2010 | 29 | |
| 6 | 2009 | 369 | |
| 7 | 2008 | 72 | |
| 8 | 2007 | 9 | |
| 9 | 2006 | 88 | |
| 10 | 2003 | 11 | |
| 11 | 2002 | 52 | |
| 12 | 2002 | 1 | |
| 13 | 2002 | 16 | |
| 14 | 2001 | 17 | |
| 15 | 2000 | 9 | |
| 16 | 1999 | 3 | |
| 17 | 1998 | 0 | |
| 18 | 1995 | 2 | |
| 19 | Interleukin-3 and granulocyte colony-stimulating factor as survival factors in murine hemopoietic stem cells in vitro. | 1992 | 13 |
| 20 | 1985 | 1 |
About Kenji Ikebuchi
Kenji Ikebuchi is a scholar working on Hematology, Immunology, Biochemistry, Clinical Biochemistry and Genetics, having authored 118 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Platelet Disorders and Treatments (13 papers), Hemoglobin structure and function (11 papers), Blood groups and transfusion (11 papers), Erythrocyte Function and Pathophysiology (10 papers), Blood transfusion and management (7 papers), Immune Cell Function and Interaction (7 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Hematology (990 citations), Genetics (477 citations), Immunology (868 citations), Oncology (1.1k citations) and Pulmonary and Respiratory Medicine (846 citations). Kenji Ikebuchi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Makio Ogawa, GG Wong, Stephen Clark, Yoshikatsu Hirai, J N Ihle, Hisami Ikeda, Mitsuhiro Fujihara, Hitoshi Miyazawa, Koichi Hagiwara and Miki Yamaguchi. Their work appears in journals such as Blood, Transfusion, Palliative & Supportive Care, Photochemistry and Photobiology and Experimental Hematology.
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.