Hitoshi Takizawa
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 30
- Immunology top 1%
- Immune Cell Function and Interaction 16
- Immune cells in cancer 11
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 8
- Immune Response and Inflammation 7
- Genetics top 2%
- Mesenchymal stem cell research 7
- Oncology top 5%
- Rheumatology top 5%
-
- Neonatal Respiratory Health Research 9
- Co-authors
- Markus G. ManzSteffen BoettcherLarisa V. KovtonyukElizabeth E. EynonAnthony RongvauxRichard A. FlavellKristin FritschToshio Suda
- Cited by
- HematologyImmunologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Clinical Investigation (1 paper)Nature Communications (2 papers)
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Hitoshi Takizawa
85 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 125
- Hematology 1.3k
- Immunology 1.8k
- Genetics 568
- Oncology 527
- Rheumatology 263
Countries citing papers authored by Hitoshi Takizawa
This map shows the geographic impact of Hitoshi Takizawa'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 Hitoshi Takizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Takizawa more than expected).
Fields of papers citing papers by Hitoshi Takizawa
This network shows the impact of papers produced by Hitoshi Takizawa. 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 Hitoshi Takizawa. The network helps show where Hitoshi Takizawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hitoshi Takizawa, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 102 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 56 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 33 | |
| 11 | 2017 | 37 | |
| 12 | 2014 | 69 | |
| 13 | 2013 | 258 | |
| 14 | 2009 | 63 | |
| 15 | 2004 | 23 | |
| 16 | 2004 | 8 | |
| 17 | 1998 | 22 | |
| 18 | 1995 | 110 | |
| 19 | 1989 | 32 | |
| 20 | [A case of Shy-Drager syndrome associated with periodic breathing]. | 1987 | 1 |
About Hitoshi Takizawa
Hitoshi Takizawa is a scholar working on Hematology, Immunology and Genetics, having authored 87 papers that have together received 4.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (30 papers), Immune Cell Function and Interaction (16 papers), Immune cells in cancer (11 papers), T-cell and B-cell Immunology (11 papers), Neonatal Respiratory Health Research (9 papers), Immunotherapy and Immune Responses (8 papers), Mesenchymal stem cell research (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Hematology (1.3k citations), Immunology (1.8k citations) and Genetics (568 citations). Hitoshi Takizawa has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Markus G. Manz, Steffen Boettcher, Larisa V. Kovtonyuk, Elizabeth E. Eynon, Anthony Rongvaux, Richard A. Flavell, Kristin Fritsch, Toshio Suda, Tim Willinger and Ayako Nakamura‐Ishizu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.