Takao Sudo
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
- Hematology 19
- Hematopoietic Stem Cell Transplantation 13
- Acute Myeloid Leukemia Research 10
- Immunology 17
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Co-authors
- Junichi Kikuta (14 shared papers)Masaru Ishii (15 shared papers)Yuzuru Kanakura (16 shared papers)Daisuke Okuzaki (13 shared papers)Takafumi Yokota (22 shared papers)Tetsuo Hasegawa (6 shared papers)Kenji Oritani (15 shared papers)Takahiro Matsui (7 shared papers)
- Journals
- Nature Communications (4 papers)Blood (3 papers)Experimental Hematology (2 papers)Scientific Reports (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takao Sudo
39 papers receiving 846 citations
Peers
Comparison fields: 5 of 98
- Hematology 143
- Immunology 272
- Geriatrics and Gerontology 29
- Aging 13
- Biophysics 41
Countries citing papers authored by Takao Sudo
This map shows the geographic impact of Takao Sudo'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 Takao Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takao Sudo more than expected).
Fields of papers citing papers by Takao Sudo
This network shows the impact of papers produced by Takao Sudo. 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 Takao Sudo. The network helps show where Takao Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Takao Sudo, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2013 | 87 | |
| 3 | 2022 | 77 | |
| 4 | 2012 | 56 | |
| 5 | 1997 | 46 | |
| 6 | 2021 | 41 | |
| 7 | 2010 | 32 | |
| 8 | 2012 | 31 | |
| 9 | 2017 | 31 | |
| 10 | 2021 | 31 | |
| 11 | 2018 | 26 | |
| 12 | 2023 | 25 | |
| 13 | 2010 | 24 | |
| 14 | 2016 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2020 | 16 | |
| 17 | 1996 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 13 |
About Takao Sudo
Takao Sudo is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Cell Biology, having authored 42 papers that have together received 855 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (10 papers), Immune Cell Function and Interaction (8 papers), Zebrafish Biomedical Research Applications (7 papers), Immunotherapy and Immune Responses (4 papers), Bone Metabolism and Diseases (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (143 citations), Immunology (272 citations), Geriatrics and Gerontology (29 citations), Aging (13 citations) and Biophysics (41 citations). Takao Sudo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Junichi Kikuta, Masaru Ishii, Yuzuru Kanakura, Daisuke Okuzaki, Takafumi Yokota, Tetsuo Hasegawa, Kenji Oritani, Takahiro Matsui, Hiroki Mizuno and Sachiko Ezoe. Their work appears in journals such as Nature Communications, Blood, Experimental Hematology, Scientific Reports and The Journal of Immunology.
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.