Yuichiro Semba
Impact in
-
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
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- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 4
- Genomics and Chromatin Dynamics 4
- RNA Interference and Gene Delivery 4
- Hematology 13
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 5
- Co-authors
- Koichi Akashi (25 shared papers)Yasuyuki Ohkawa (6 shared papers)Akihito Harada (5 shared papers)Jumpei Nogami (13 shared papers)Kazumitsu Maehara (5 shared papers)Takahiro Maeda (19 shared papers)Yuya Kunisaki (8 shared papers)Chikara Meno (2 shared papers)
- Journals
- Blood (7 papers)International Journal of Hematology (4 papers)Leukemia (3 papers)Blood Advances (2 papers)Communications Biology (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuichiro Semba
27 papers receiving 304 citations
Peers
Comparison fields: 5 of 66
- Hematology 60
- Genetics 33
- Molecular Biology 203
- Reproductive Medicine 19
- Cancer Research 29
Countries citing papers authored by Yuichiro Semba
This map shows the geographic impact of Yuichiro Semba'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 Yuichiro Semba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Semba more than expected).
Fields of papers citing papers by Yuichiro Semba
This network shows the impact of papers produced by Yuichiro Semba. 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 Yuichiro Semba. The network helps show where Yuichiro Semba may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichiro Semba, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 40 | |
| 2 | 2017 | 28 | |
| 3 | 2015 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2017 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2023 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2019 | 3 |
About Yuichiro Semba
Yuichiro Semba is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 305 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), CRISPR and Genetic Engineering (7 papers), Acute Lymphoblastic Leukemia research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Interference and Gene Delivery (4 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (60 citations), Genetics (33 citations), Molecular Biology (203 citations), Reproductive Medicine (19 citations) and Cancer Research (29 citations). Yuichiro Semba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koichi Akashi, Yasuyuki Ohkawa, Akihito Harada, Jumpei Nogami, Kazumitsu Maehara, Takahiro Maeda, Yuya Kunisaki, Chikara Meno, Yoshikane Kikushige and Shinya Oki. Their work appears in journals such as Blood, International Journal of Hematology, Leukemia, Blood Advances and Communications Biology.
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.