Mai Takeuchi
Impact in
- Rheumatology top 2%
- IgG4-Related and Inflammatory Diseases
-
- Lymphoma Diagnosis and Treatment
Papers in
- Immunology 24
- T-cell and Retrovirus Studies 13
- Immune Cell Function and Interaction 8
- Galectins and Cancer Biology 6
- Oncology 17
- Viral-associated cancers and disorders 6
- Co-authors
- Tadashi Yoshino (23 shared papers)Yasuharu Sato (24 shared papers)Yorihisa Orita (17 shared papers)Katsuyoshi Takata (14 shared papers)Kyotaro Ohno (15 shared papers)Yuka Gion (12 shared papers)Noriko Iwaki (9 shared papers)Tomoyasu Tachibana (8 shared papers)
- Journals
- Scientific Reports (4 papers)Modern Rheumatology (3 papers)Modern Pathology (3 papers)Cancer Science (3 papers)Hematological Oncology (3 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Mai Takeuchi
54 papers receiving 978 citations
Peers
Comparison fields: 5 of 71
- Rheumatology 379
- Pathology and Forensic Medicine 249
- Oncology 302
- Immunology 219
- Genetics 110
Countries citing papers authored by Mai Takeuchi
This map shows the geographic impact of Mai Takeuchi'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 Mai Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Takeuchi more than expected).
Fields of papers citing papers by Mai Takeuchi
This network shows the impact of papers produced by Mai Takeuchi. 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 Mai Takeuchi. The network helps show where Mai Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mai Takeuchi, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2015 | 71 | |
| 3 | 2017 | 69 | |
| 4 | 2012 | 65 | |
| 5 | 2006 | 55 | |
| 6 | 2013 | 52 | |
| 7 | 2015 | 34 | |
| 8 | 2005 | 34 | |
| 9 | 2015 | 32 | |
| 10 | 2013 | 32 | |
| 11 | 2014 | 31 | |
| 12 | 2012 | 30 | |
| 13 | 2019 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2014 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2009 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2016 | 19 | |
| 20 | IgG4-related renal disease: clinical and pathological characteristics. | 2014 | 18 |
About Mai Takeuchi
Mai Takeuchi is a scholar working on Immunology, Oncology, Rheumatology, Pathology and Forensic Medicine and Surgery, having authored 57 papers that have together received 989 indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (14 papers), T-cell and Retrovirus Studies (13 papers), Lymphoma Diagnosis and Treatment (11 papers), Immune Cell Function and Interaction (8 papers), Neuroendocrine Tumor Research Advances (7 papers), Galectins and Cancer Biology (6 papers), Viral-associated cancers and disorders (6 papers) and Gastrointestinal disorders and treatments (6 papers). The work is most often cited by research in Rheumatology (379 citations), Pathology and Forensic Medicine (249 citations), Oncology (302 citations), Immunology (219 citations) and Genetics (110 citations). Mai Takeuchi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Tadashi Yoshino, Yasuharu Sato, Yorihisa Orita, Katsuyoshi Takata, Kyotaro Ohno, Yuka Gion, Noriko Iwaki, Tomoyasu Tachibana, Toshihiro Ito and Koichi Ohshima. Their work appears in journals such as Scientific Reports, Modern Rheumatology, Modern Pathology, Cancer Science and Hematological Oncology.
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.