Mie Torii
Impact in
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
-
- Nutrition and Health in Aging 4
- Body Composition Measurement Techniques 2
- Co-authors
- Motomu Hashimoto (10 shared papers)Hiromu Ito (9 shared papers)Takuma Kato (9 shared papers)Hiroshi Shiku (5 shared papers)Tsuneyo Mimori (5 shared papers)Naoyuki Katayama (4 shared papers)Moritoshi Furu (4 shared papers)Wataru Yamamoto (5 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)Modern Rheumatology (2 papers)Transplant Immunology (2 papers)Cancer Research (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Mie Torii
25 papers receiving 647 citations
Peers
Comparison fields: 5 of 91
- Hematology 77
- Geriatrics and Gerontology 25
- Physiology 158
- Rheumatology 88
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Mie Torii
This map shows the geographic impact of Mie Torii'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 Mie Torii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mie Torii more than expected).
Fields of papers citing papers by Mie Torii
This network shows the impact of papers produced by Mie Torii. 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 Mie Torii. The network helps show where Mie Torii may publish in the future.
Co-authors
The 25 scholars most cited alongside Mie Torii, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2018 | 115 | |
| 3 | 2014 | 57 | |
| 4 | 2008 | 36 | |
| 5 | 2009 | 34 | |
| 6 | 2018 | 21 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 20 | |
| 9 | 2006 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2010 | 17 | |
| 12 | 2003 | 16 | |
| 13 | 2009 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2008 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 6 | |
| 19 | 2007 | 5 | |
| 20 | 2015 | 3 |
About Mie Torii
Mie Torii is a scholar working on Immunology, Physiology, Rheumatology, Surgery and Hematology, having authored 27 papers that have together received 662 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Nutrition and Health in Aging (4 papers), Skin Protection and Aging (3 papers), Liver Disease and Transplantation (2 papers) and Body Composition Measurement Techniques (2 papers). The work is most often cited by research in Hematology (77 citations), Geriatrics and Gerontology (25 citations), Physiology (158 citations), Rheumatology (88 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Mie Torii has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Motomu Hashimoto, Hiromu Ito, Takuma Kato, Hiroshi Shiku, Tsuneyo Mimori, Naoyuki Katayama, Moritoshi Furu, Wataru Yamamoto, Ning Ma and Aya Yoshikawa. Their work appears in journals such as Scientific Reports, PLoS ONE, Modern Rheumatology, Transplant Immunology and Cancer Research.
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.