Hitoshi Takizawa
- Immunology top 1%
- Hematology top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Markus G. ManzSteffen BoettcherLarisa V. KovtonyukElizabeth E. EynonAnthony RongvauxRichard A. FlavellKristin FritschToshio Suda
- Topics
- Hematopoietic Stem Cell Transplantation (30 papers)Immune Cell Function and Interaction (16 papers)Immune cells in cancer (11 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Hitoshi Takizawa
85 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 125
- Immunology 1.8k
- Hematology 1.3k
- Molecular Biology 1.1k
- Genetics 568
- Pulmonary and Respiratory Medicine 534
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 of co-authors of Hitoshi Takizawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Takizawa. A scholar is included among the top collaborators of Hitoshi Takizawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hitoshi Takizawa. Hitoshi Takizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 102 | |
| 7 | 3 | |
| 8 | 56 | |
| 9 | 21 | |
| 10 | 33 | |
| 11 | 37 | |
| 12 | 69 | |
| 13 | 258 | |
| 14 | 63 | |
| 15 | 23 | |
| 16 | 8 | |
| 17 | 22 | |
| 18 | 110 | |
| 19 | 32 | |
| 20 | [A case of Shy-Drager syndrome associated with periodic breathing]. | 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) and Immune cells in cancer (11 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.