Kazuhiro Sudo
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Mesenchymal stem cell research
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 11
- Genetics 8
- Mesenchymal stem cell research 8
- Co-authors
- Hiromitsu Nakauchi (12 shared papers)Hideo Ema (8 shared papers)Yukio Nakamura (23 shared papers)Yohei Morita (2 shared papers)Kenichi Miharada (10 shared papers)Takashi Hiroyama (12 shared papers)Hina Takano (2 shared papers)Toshiro Nagasawa (7 shared papers)
- Journals
- Experimental Hematology (3 papers)The Journal of Experimental Medicine (3 papers)Nature (2 papers)Biochemical and Biophysical Research Communications (2 papers)Human Cell (2 papers)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Kazuhiro Sudo
34 papers receiving 2.9k citations
Kazuhiro Sudo's Hit Papers
Peers
Comparison fields: 5 of 109
- Hematology 1.1k
- Genetics 708
- Immunology 715
- Aging 49
- Physiology 471
Countries citing papers authored by Kazuhiro Sudo
This map shows the geographic impact of Kazuhiro 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 Kazuhiro Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Sudo more than expected).
Fields of papers citing papers by Kazuhiro Sudo
This network shows the impact of papers produced by Kazuhiro 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 Kazuhiro Sudo. The network helps show where Kazuhiro Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kazuhiro 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 575 | |
| 2 | 2013 | 294 | |
| 3 | Long-term ex vivo haematopoietic-stem-cell expansion allows nonconditioned transplantation Hit paper breakdown → | 2019 | 294 |
| 4 | 2000 | 234 | |
| 5 | 2007 | 183 | |
| 6 | 2000 | 177 | |
| 7 | 2004 | 174 | |
| 8 | 2004 | 161 | |
| 9 | 2006 | 154 | |
| 10 | 2005 | 148 | |
| 11 | 2023 | 90 | |
| 12 | 2008 | 73 | |
| 13 | 2007 | 68 | |
| 14 | 2005 | 66 | |
| 15 | 2002 | 49 | |
| 16 | 2001 | 40 | |
| 17 | 2017 | 32 | |
| 18 | 2006 | 31 | |
| 19 | 2018 | 25 | |
| 20 | 2017 | 19 |
About Kazuhiro Sudo
Kazuhiro Sudo is a scholar working on Hematology, Genetics, Biophysics, Immunology and Physiology, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Mesenchymal stem cell research (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Pluripotent Stem Cells Research (5 papers), Cell Image Analysis Techniques (5 papers), 3D Printing in Biomedical Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (708 citations), Immunology (715 citations), Aging (49 citations) and Physiology (471 citations). Kazuhiro Sudo has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Hiromitsu Nakauchi, Hideo Ema, Yukio Nakamura, Yohei Morita, Kenichi Miharada, Takashi Hiroyama, Hina Takano, Toshiro Nagasawa, Hiroyuki Miyoshi and Mitsujiro Osawa. Their work appears in journals such as Experimental Hematology, The Journal of Experimental Medicine, Nature, Biochemical and Biophysical Research Communications and Human Cell.
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.