Yoko Tabe
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Histone Deacetylase Inhibitors Research 11
- Retinoids in leukemia and cellular processes 10
- Hematology 46
- Acute Myeloid Leukemia Research 33
- Chronic Myeloid Leukemia Treatments 15
- Co-authors
- Marina Konopleva (62 shared papers)Michael Andreeff (54 shared papers)Isao Nagaoka (12 shared papers)Akimichi Ohsaka (34 shared papers)Takashi Miida (73 shared papers)Linhua Jin (27 shared papers)Toshiaki Iba (11 shared papers)Philip L. Lorenzi (2 shared papers)
- Journals
- Blood (39 papers)PLoS ONE (14 papers)Scientific Reports (11 papers)Microbiology Spectrum (4 papers)Thrombosis Research (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yoko Tabe
158 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 124
- Hematology 907
- Genetics 382
- Immunology 502
- Cancer Research 324
- Oncology 495
Countries citing papers authored by Yoko Tabe
This map shows the geographic impact of Yoko Tabe'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 Yoko Tabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Tabe more than expected).
Fields of papers citing papers by Yoko Tabe
This network shows the impact of papers produced by Yoko Tabe. 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 Yoko Tabe. The network helps show where Yoko Tabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoko Tabe, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 163 | |
| 2 | 2008 | 162 | |
| 3 | 2019 | 162 | |
| 4 | 2009 | 138 | |
| 5 | 2014 | 119 | |
| 6 | 2015 | 102 | |
| 7 | 2005 | 86 | |
| 8 | 2003 | 84 | |
| 9 | 2019 | 80 | |
| 10 | 2015 | 79 | |
| 11 | 2014 | 72 | |
| 12 | 2013 | 72 | |
| 13 | 2015 | 71 | |
| 14 | 2015 | 70 | |
| 15 | 2009 | 69 | |
| 16 | 2013 | 68 | |
| 17 | 2020 | 63 | |
| 18 | 2017 | 62 | |
| 19 | 2007 | 59 | |
| 20 | 2007 | 48 |
About Yoko Tabe
Yoko Tabe is a scholar working on Molecular Biology, Hematology, Infectious Diseases, Epidemiology and Immunology, having authored 168 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (33 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Chronic Myeloid Leukemia Treatments (15 papers), COVID-19 Clinical Research Studies (14 papers), Chronic Lymphocytic Leukemia Research (13 papers), Histone Deacetylase Inhibitors Research (11 papers), Retinoids in leukemia and cellular processes (10 papers) and SARS-CoV-2 detection and testing (10 papers). The work is most often cited by research in Hematology (907 citations), Genetics (382 citations), Immunology (502 citations), Cancer Research (324 citations) and Oncology (495 citations). Yoko Tabe has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Marina Konopleva, Michael Andreeff, Isao Nagaoka, Akimichi Ohsaka, Takashi Miida, Linhua Jin, Toshiaki Iba, Philip L. Lorenzi, Zhihong Zeng and Naoyuki Hashiguchi. Their work appears in journals such as Blood, PLoS ONE, Scientific Reports, Microbiology Spectrum and Thrombosis Research.
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.