Takeki Mitsui
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Lymphoma Diagnosis and Treatment 17
- Hematology 18
- Platelet Disorders and Treatments 7
- Co-authors
- Akihiko Yokohama (41 shared papers)Hiroshi Handa (35 shared papers)Hirokazu Murakami (40 shared papers)Norifumi Tsukamoto (40 shared papers)Yoshihisa Nojima (36 shared papers)Hiromi Koiso (28 shared papers)Takayuki Saitoh (34 shared papers)Michael A. Caligiuri (5 shared papers)
- Journals
- Blood (7 papers)International Journal of Hematology (6 papers)Leukemia Research (4 papers)Acta Haematologica (4 papers)European Journal Of Haematology (3 papers)
- Partner nations
- JapanUnited StatesNigeria
In The Last Decade
Takeki Mitsui
56 papers receiving 680 citations
Peers
Comparison fields: 5 of 80
- Hematology 194
- Immunology 200
- Genetics 84
- Pathology and Forensic Medicine 103
- Oncology 100
Countries citing papers authored by Takeki Mitsui
This map shows the geographic impact of Takeki Mitsui'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 Takeki Mitsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeki Mitsui more than expected).
Fields of papers citing papers by Takeki Mitsui
This network shows the impact of papers produced by Takeki Mitsui. 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 Takeki Mitsui. The network helps show where Takeki Mitsui may publish in the future.
Co-authors
The 25 scholars most cited alongside Takeki Mitsui, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 121 | |
| 2 | 2011 | 58 | |
| 3 | 2005 | 52 | |
| 4 | 2009 | 31 | |
| 5 | 2011 | 30 | |
| 6 | 1994 | 28 | |
| 7 | 2011 | 28 | |
| 8 | 2009 | 25 | |
| 9 | 2011 | 25 | |
| 10 | 2005 | 21 | |
| 11 | 2017 | 20 | |
| 12 | 2011 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2009 | 15 | |
| 15 | 2014 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2013 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2004 | 10 |
About Takeki Mitsui
Takeki Mitsui is a scholar working on Pathology and Forensic Medicine, Hematology, Immunology, Oncology and Molecular Biology, having authored 60 papers that have together received 691 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Immune Cell Function and Interaction (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), Viral-associated cancers and disorders (9 papers), Platelet Disorders and Treatments (7 papers), Epigenetics and DNA Methylation (6 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Hematology (194 citations), Immunology (200 citations), Genetics (84 citations), Pathology and Forensic Medicine (103 citations) and Oncology (100 citations). Takeki Mitsui has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Akihiko Yokohama, Hiroshi Handa, Hirokazu Murakami, Norifumi Tsukamoto, Yoshihisa Nojima, Hiromi Koiso, Takayuki Saitoh, Michael A. Caligiuri, Jianhua Yu and Guido Marcucci. Their work appears in journals such as Blood, International Journal of Hematology, Leukemia Research, Acta Haematologica and European Journal Of Haematology.
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.