Fumiko Mori
Impact in
- Immunology top 10%
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
- Immunology 12
- T-cell and Retrovirus Studies 8
- Immune Cell Function and Interaction 6
- Oncology 11
- CAR-T cell therapy research 6
- Co-authors
- Takashi IshidaAsahi ItoRyuzo UedaShigeru KusumotoShinsuke IidaHirokazu KomatsuMasaki RiHiroshi Inagaki
- Journals
- Blood (8 papers)International Journal of Hematology (3 papers)The Journal of Immunology (3 papers)Cancer Immunology Immunotherapy (2 papers)Cancer Science (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Fumiko Mori
29 papers receiving 554 citations
Peers
Comparison fields: 5 of 71
- Immunology 265
- Agronomy and Crop Science 57
- Oncology 153
- Genetics 59
- Hematology 51
Countries citing papers authored by Fumiko Mori
This map shows the geographic impact of Fumiko 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 Fumiko Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiko Mori more than expected).
Fields of papers citing papers by Fumiko Mori
This network shows the impact of papers produced by Fumiko 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 Fumiko Mori. The network helps show where Fumiko Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Fumiko 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 | 2 | |
| 2 | 2018 | 1 | |
| 3 | 2014 | 2 | |
| 4 | 2014 | 8 | |
| 5 | 2013 | 5 | |
| 6 | 2013 | 14 | |
| 7 | 2012 | 18 | |
| 8 | 2012 | 13 | |
| 9 | 2012 | 3 | |
| 10 | 2012 | 6 | |
| 11 | 2010 | 15 | |
| 12 | 2010 | 13 | |
| 13 | 2009 | 27 | |
| 14 | 2009 | 45 | |
| 15 | 2009 | 55 | |
| 16 | 2008 | 96 | |
| 17 | 2008 | 35 | |
| 18 | Effect of “xylophone therapy” for a patient of unilateral spatial neglect. | 1999 | 2 |
| 19 | 1985 | 17 | |
| 20 | 1984 | 27 |
About Fumiko Mori
Fumiko Mori is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Hematology and Agronomy and Crop Science, having authored 29 papers that have together received 570 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (8 papers), Lymphoma Diagnosis and Treatment (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers), Vector-Borne Animal Diseases (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Animal Disease Management and Epidemiology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (265 citations), Agronomy and Crop Science (57 citations), Oncology (153 citations), Genetics (59 citations) and Hematology (51 citations). Fumiko Mori has collaborated with scholars based in Japan and United States. Frequent co-authors include Takashi Ishida, Asahi Ito, Ryuzo Ueda, Shigeru Kusumoto, Shinsuke Iida, Hirokazu Komatsu, Masaki Ri, Hiroshi Inagaki, Atsushi Inagaki and Hiroki Yano. Their work appears in journals such as Blood, International Journal of Hematology, The Journal of Immunology, Cancer Immunology Immunotherapy and Cancer Science.
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.