Mamoru Ito
Impact in
- Virology top 1%
- HIV Research and Treatment
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 56
- Hematopoietic Stem Cell Transplantation 40
- Immunology 41
- T-cell and B-cell Immunology 23
- Co-authors
- Tatsutoshi Nakahata (16 shared papers)Kimio Kobayashi (14 shared papers)Ryoji Ito (33 shared papers)Yoshio Koyanagi (19 shared papers)Ikumi Katano (31 shared papers)Takeshi Takahashi (16 shared papers)Kohichiro Tsuji (10 shared papers)Hidefumi Hiramatsu (6 shared papers)
- Journals
- Blood (20 papers)EXPERIMENTAL ANIMALS (11 papers)Biochemical and Biophysical Research Communications (8 papers)Immunology Letters (7 papers)Journal of Virology (7 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Mamoru Ito
225 papers receiving 11.2k citations
Mamoru Ito's Hit Papers
Peers
Comparison fields: 5 of 132
- Virology 898
- Hematology 2.2k
- Immunology 2.1k
- Genetics 612
- Oncology 1.4k
Countries citing papers authored by Mamoru Ito
This map shows the geographic impact of Mamoru Ito'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 Mamoru Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Ito more than expected).
Fields of papers citing papers by Mamoru Ito
This network shows the impact of papers produced by Mamoru Ito. 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 Mamoru Ito. The network helps show where Mamoru Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Mamoru Ito, 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NOD/SCID/γcnull mouse: an excellent recipient mouse model for engraftment of human cells Hit paper breakdown → | 2002 | 1256 |
| 2 | Generation of transgenic non-human primates with germline transmission Hit paper breakdown → | 2009 | 590 |
| 3 | 2006 | 343 | |
| 4 | 2012 | 298 | |
| 5 | 1999 | 291 | |
| 6 | 2011 | 270 | |
| 7 | 2011 | 268 | |
| 8 | 2010 | 251 | |
| 9 | 2000 | 247 | |
| 10 | 2005 | 246 | |
| 11 | 2003 | 225 | |
| 12 | 2001 | 187 | |
| 13 | 2009 | 187 | |
| 14 | 2006 | 175 | |
| 15 | 2007 | 175 | |
| 16 | 2008 | 160 | |
| 17 | 1998 | 143 | |
| 18 | 2013 | 134 | |
| 19 | 2007 | 127 | |
| 20 | 2009 | 120 |
About Mamoru Ito
Mamoru Ito is a scholar working on Hematology, Immunology, Virology, Oncology and Genetics, having authored 229 papers that have together received 11.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (40 papers), T-cell and B-cell Immunology (23 papers), HIV Research and Treatment (18 papers), Xenotransplantation and immune response (17 papers), Animal Genetics and Reproduction (15 papers), Parasitic infections in humans and animals (8 papers), Asthma and respiratory diseases (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). The work is most often cited by research in Virology (898 citations), Hematology (2.2k citations), Immunology (2.1k citations), Genetics (612 citations) and Oncology (1.4k citations). Mamoru Ito has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tatsutoshi Nakahata, Kimio Kobayashi, Ryoji Ito, Yoshio Koyanagi, Ikumi Katano, Takeshi Takahashi, Kohichiro Tsuji, Hidefumi Hiramatsu, Toshio Heike and Kazutomo Suzue. Their work appears in journals such as Blood, EXPERIMENTAL ANIMALS, Biochemical and Biophysical Research Communications, Immunology Letters and Journal of Virology.
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.