Shin‐ichiro Mori
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 20
- Acute Myeloid Leukemia Research 8
- Platelet Disorders and Treatments 3
- Transplantation top 10%
- Genetics top 10%
- Mesenchymal stem cell research 4
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 6
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- Neutropenia and Cancer Infections 4
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Yoichi TakaueRyuji TanosakiYuji HeikeSung Won KimTakahiro FukudaShigeo FujiKensei TobinaiKen Shortman
- Cited by
- HematologyTransplantationGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Blood (11 papers)International Journal of Cancer (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shin‐ichiro Mori
37 papers receiving 700 citations
Peers
Comparison fields: 5 of 71
- Hematology 464
- Transplantation 29
- Genetics 97
- Immunology 188
- Oncology 176
Countries citing papers authored by Shin‐ichiro Mori
This map shows the geographic impact of Shin‐ichiro Mori'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 Shin‐ichiro Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐ichiro Mori more than expected).
Fields of papers citing papers by Shin‐ichiro Mori
This network shows the impact of papers produced by Shin‐ichiro Mori. 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 Shin‐ichiro Mori. The network helps show where Shin‐ichiro Mori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shin‐ichiro Mori, 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 | 2021 | 10 | |
| 2 | 2013 | 1 | |
| 3 | 2012 | 33 | |
| 4 | 2011 | 90 | |
| 5 | 2009 | 42 | |
| 6 | 2008 | 39 | |
| 7 | 2008 | 23 | |
| 8 | 2008 | 51 | |
| 9 | 2007 | 23 | |
| 10 | 2007 | 9 | |
| 11 | 2007 | 10 | |
| 12 | 2007 | 1 | |
| 13 | 2006 | 15 | |
| 14 | 2006 | 31 | |
| 15 | 2006 | 23 | |
| 16 | 2006 | 3 | |
| 17 | 2005 | 10 | |
| 18 | 2004 | 27 | |
| 19 | 2004 | 3 | |
| 20 | [Idiopathic interstitial pneumonia that responded to intermittent intravenous administration of high-dose cyclophosphamide]. | 1994 | 1 |
About Shin‐ichiro Mori
Shin‐ichiro Mori is a scholar working on Hematology, Genetics and Transplantation, having authored 39 papers that have together received 714 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Mesenchymal stem cell research (4 papers), Neutropenia and Cancer Infections (4 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Hematology (464 citations), Transplantation (29 citations) and Genetics (97 citations). Shin‐ichiro Mori has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoichi Takaue, Ryuji Tanosaki, Yuji Heike, Sung Won Kim, Takahiro Fukuda, Shigeo Fuji, Kensei Tobinai, Ken Shortman, Li Wu and Yuriko Morita‐Hoshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and International Journal of Cancer.
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.