Mamoru Ito
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Virology top 0.5%
- HIV Research and Treatment
Papers in
- Immunology 98
- Immune Cell Function and Interaction 53
- T-cell and B-cell Immunology 36
- Immunotherapy and Immune Responses 24
-
- Pluripotent Stem Cells Research 12
- Co-authors
- Tatsutoshi Nakahata (17 shared papers)Kimio Kobayashi (15 shared papers)Yoshio Koyanagi (19 shared papers)Ryoji Ito (33 shared papers)Ikumi Katano (31 shared papers)Kohichiro Tsuji (11 shared papers)Takeshi Takahashi (16 shared papers)Toshio Heike (6 shared papers)
- Journals
- Blood (19 papers)EXPERIMENTAL ANIMALS (10 papers)Biochemical and Biophysical Research Communications (8 papers)Journal of Virology (7 papers)Immunology Letters (7 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Mamoru Ito
217 papers receiving 10.3k citations
Mamoru Ito's Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 3.9k
- Virology 820
- Hematology 1.5k
- Genetics 857
- Oncology 1.9k
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 222 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 | 1208 |
| 2 | 2006 | 341 | |
| 3 | 1999 | 289 | |
| 4 | 2012 | 280 | |
| 5 | 2011 | 255 | |
| 6 | 2011 | 255 | |
| 7 | 2010 | 248 | |
| 8 | 2005 | 244 | |
| 9 | 2000 | 244 | |
| 10 | 2003 | 223 | |
| 11 | 2001 | 190 | |
| 12 | 2009 | 176 | |
| 13 | 2006 | 173 | |
| 14 | 2007 | 173 | |
| 15 | 2008 | 155 | |
| 16 | 1998 | 145 | |
| 17 | 2007 | 127 | |
| 18 | 2013 | 124 | |
| 19 | 2009 | 115 | |
| 20 | 2001 | 112 |
About Mamoru Ito
Mamoru Ito is a scholar working on Immunology, Molecular Biology, Hematology, Oncology and Public Health, Environmental and Occupational Health, having authored 222 papers that have together received 10.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (53 papers), T-cell and B-cell Immunology (36 papers), Hematopoietic Stem Cell Transplantation (26 papers), Immunotherapy and Immune Responses (24 papers), CAR-T cell therapy research (21 papers), HIV Research and Treatment (15 papers), Pluripotent Stem Cells Research (12 papers) and Virus-based gene therapy research (11 papers). The work is most often cited by research in Immunology (3.9k citations), Virology (820 citations), Hematology (1.5k citations), Genetics (857 citations) and Oncology (1.9k citations). Mamoru Ito has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tatsutoshi Nakahata, Kimio Kobayashi, Yoshio Koyanagi, Ryoji Ito, Ikumi Katano, Kohichiro Tsuji, Takeshi Takahashi, Toshio Heike, Kazutomo Suzue and Hidefumi Hiramatsu. Their work appears in journals such as Blood, EXPERIMENTAL ANIMALS, Biochemical and Biophysical Research Communications, Journal of Virology and Immunology Letters.
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.