Takeki Mitsui
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 20
- Platelet Disorders and Treatments 7
- Acute Myeloid Leukemia Research 6
- Genetics 15
- Chronic Lymphocytic Leukemia Research 11
- Co-authors
- Akihiko Yokohama (40 shared papers)Hiroshi Handa (34 shared papers)Norifumi Tsukamoto (41 shared papers)Hirokazu Murakami (40 shared papers)Yoshihisa Nojima (35 shared papers)Takayuki Saitoh (34 shared papers)Hiromi Koiso (28 shared papers)Michael A. Caligiuri (5 shared papers)
- Journals
- Blood (10 papers)International Journal of Hematology (6 papers)European Journal Of Haematology (4 papers)Leukemia Research (4 papers)Acta Haematologica (4 papers)
- Partner nations
- JapanUnited StatesNigeria
In The Last Decade
Takeki Mitsui
66 papers receiving 841 citations
Peers
Comparison fields: 5 of 83
- Hematology 244
- Genetics 148
- Immunology 289
- Pathology and Forensic Medicine 157
- Oncology 127
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 137 | |
| 2 | 2016 | 84 | |
| 3 | 2011 | 64 | |
| 4 | 2005 | 53 | |
| 5 | 2009 | 33 | |
| 6 | 2011 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 1994 | 30 | |
| 9 | 2009 | 26 | |
| 10 | 2011 | 25 | |
| 11 | 2005 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2011 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2009 | 17 | |
| 16 | 2013 | 16 | |
| 17 | 2014 | 13 | |
| 18 | 2014 | 13 | |
| 19 | 2013 | 12 | |
| 20 | 2017 | 11 |
About Takeki Mitsui
Takeki Mitsui is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Oncology, having authored 67 papers that have together received 861 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (11 papers), Immune Cell Function and Interaction (11 papers), Viral-associated cancers and disorders (9 papers), Platelet Disorders and Treatments (7 papers), Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Hematology (244 citations), Genetics (148 citations), Immunology (289 citations), Pathology and Forensic Medicine (157 citations) and Oncology (127 citations). Takeki Mitsui has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Akihiko Yokohama, Hiroshi Handa, Norifumi Tsukamoto, Hirokazu Murakami, Yoshihisa Nojima, Takayuki Saitoh, Hiromi Koiso, Michael A. Caligiuri, Jianhua Yu and Masamitsu Karasawa. Their work appears in journals such as Blood, International Journal of Hematology, European Journal Of Haematology, Leukemia Research and Acta Haematologica.
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.