Noriko Doki
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 98
- Acute Myeloid Leukemia Research 59
- Chronic Myeloid Leukemia Treatments 36
- Transplantation top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 14
- Immunology top 10%
- Immune Cell Function and Interaction 23
- Oncology top 10%
- Neutropenia and Cancer Infections 12
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- Acute Lymphoblastic Leukemia research 44
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- Cytomegalovirus and herpesvirus research 15
- Co-authors
- Kazuhiko KakihanaKazuteru OhashiYuho NajimaYoshiko AtsutaHisashi SakamakiTakeshi KobayashiMakoto OnizukaTakashi Toya
- Cited by
- HematologyTransplantationGenetics
- Journals
- International Journal of Hematology (19 papers)Bone Marrow Transplantation (19 papers)Blood (17 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Noriko Doki
154 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Hematology 894
- Transplantation 68
- Genetics 223
- Immunology 278
- Oncology 324
Countries citing papers authored by Noriko Doki
This map shows the geographic impact of Noriko Doki'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 Noriko Doki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriko Doki more than expected).
Fields of papers citing papers by Noriko Doki
This network shows the impact of papers produced by Noriko Doki. 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 Noriko Doki. The network helps show where Noriko Doki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noriko Doki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 2 | |
| 19 | 2020 | 12 | |
| 20 | 2014 | 111 |
About Noriko Doki
Noriko Doki is a scholar working on Hematology, Genetics, Transplantation, Public Health, Environmental and Occupational Health and Immunology, having authored 181 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (98 papers), Acute Myeloid Leukemia Research (59 papers), Acute Lymphoblastic Leukemia research (44 papers), Chronic Myeloid Leukemia Treatments (36 papers), Immune Cell Function and Interaction (23 papers), Cytomegalovirus and herpesvirus research (15 papers), Chronic Lymphocytic Leukemia Research (14 papers) and Neutropenia and Cancer Infections (12 papers). The work is most often cited by research in Hematology (894 citations), Transplantation (68 citations), Genetics (223 citations), Immunology (278 citations) and Oncology (324 citations). Noriko Doki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kazuhiko Kakihana, Kazuteru Ohashi, Yuho Najima, Yoshiko Atsuta, Hisashi Sakamaki, Takeshi Kobayashi, Makoto Onizuka, Takashi Toya, Takahiro Fukuda and Yutaro Hino. Their work appears in journals such as International Journal of Hematology, Bone Marrow Transplantation, Blood, Transplantation and Cellular Therapy and Annals of Hematology.
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.