Ko Kudo
Impact in
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- CAR-T cell therapy research
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- Immune Cell Function and Interaction
Papers in
- Physiology 10
- Histiocytic Disorders and Treatments 10
- Oncology 7
- Viral-associated cancers and disorders 3
- CAR-T cell therapy research 3
- Co-authors
- Chihaya Imai (1 shared paper)Andrew M. Davidoff (1 shared paper)Koji Kono (1 shared paper)Wee Joo Chng (1 shared paper)Dario Campana (2 shared papers)Takahiro Kamiya (1 shared paper)Takafumi Tomiyasu (1 shared paper)Yoshihiro Jinno (1 shared paper)
- Journals
- International Journal of Hematology (4 papers)Journal of Pediatric Hematology/Oncology (3 papers)Pediatric Blood & Cancer (2 papers)Genes Chromosomes and Cancer (2 papers)Cancer Research (2 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Ko Kudo
20 papers receiving 223 citations
Peers
Comparison fields: 5 of 40
- Oncology 160
- Immunology 53
- Hematology 26
- Genetics 57
- Biomedical Engineering 83
Countries citing papers authored by Ko Kudo
This map shows the geographic impact of Ko Kudo'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 Ko Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ko Kudo more than expected).
Fields of papers citing papers by Ko Kudo
This network shows the impact of papers produced by Ko Kudo. 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 Ko Kudo. The network helps show where Ko Kudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ko Kudo, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 159 | |
| 2 | Ring chromosome 11 [46,XX,r(11) (p15q25)] associated with clinical features of the 11q- syndrome. | 1981 | 16 |
| 3 | Molecular analysis of the t(15;17) translocation in de novo and secondary acute promyelocytic leukemia. | 1997 | 10 |
| 4 | 2019 | 7 | |
| 5 | 2015 | 6 | |
| 6 | 2020 | 5 | |
| 7 | 2010 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2012 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2019 | 1 |
About Ko Kudo
Ko Kudo is a scholar working on Physiology, Oncology, Molecular Biology, Hematology and Immunology, having authored 25 papers that have together received 227 indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (10 papers), Acute Myeloid Leukemia Research (5 papers), Parvovirus B19 Infection Studies (4 papers), Viral-associated cancers and disorders (3 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Oncology (160 citations), Immunology (53 citations), Hematology (26 citations), Genetics (57 citations) and Biomedical Engineering (83 citations). Ko Kudo has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Chihaya Imai, Andrew M. Davidoff, Koji Kono, Wee Joo Chng, Dario Campana, Takahiro Kamiya, Takafumi Tomiyasu, Yoshihiro Jinno, Etsuro Ito and Yoshihisa Fukushima. Their work appears in journals such as International Journal of Hematology, Journal of Pediatric Hematology/Oncology, Pediatric Blood & Cancer, Genes Chromosomes and Cancer and Cancer 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.