Masatoshi Kanda
Impact in
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- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- IgG4-Related and Inflammatory Diseases
Papers in
- Rheumatology 14
- IgG4-Related and Inflammatory Diseases 7
- Systemic Lupus Erythematosus Research 4
- Immunology 10
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- T-cell and B-cell Immunology 3
- Co-authors
- Tatsuya Atsumi (13 shared papers)Masaru Kato (8 shared papers)Yuichiro Fujieda (8 shared papers)Ryo Hisada (5 shared papers)Olga Amengual (6 shared papers)Michihito Kono (5 shared papers)Daigo Nakazawa (3 shared papers)Yuki Kudo (3 shared papers)
In The Last Decade
Masatoshi Kanda
34 papers receiving 362 citations
Peers
Comparison fields: 5 of 68
- Immunology 161
- Rheumatology 93
- Reproductive Medicine 44
- Biological Psychiatry 9
- Obstetrics and Gynecology 27
Countries citing papers authored by Masatoshi Kanda
This map shows the geographic impact of Masatoshi Kanda'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 Masatoshi Kanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Kanda more than expected).
Fields of papers citing papers by Masatoshi Kanda
This network shows the impact of papers produced by Masatoshi Kanda. 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 Masatoshi Kanda. The network helps show where Masatoshi Kanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Masatoshi Kanda, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 84 | |
| 2 | 2016 | 33 | |
| 3 | 1999 | 31 | |
| 4 | 2019 | 27 | |
| 5 | 2023 | 18 | |
| 6 | 2016 | 16 | |
| 7 | 2019 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2018 | 3 |
About Masatoshi Kanda
Masatoshi Kanda is a scholar working on Rheumatology, Immunology, Surgery, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 37 papers that have together received 363 indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (7 papers), Uterine Myomas and Treatments (5 papers), Vasculitis and related conditions (4 papers), Systemic Lupus Erythematosus Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (161 citations), Rheumatology (93 citations), Reproductive Medicine (44 citations), Biological Psychiatry (9 citations) and Obstetrics and Gynecology (27 citations). Masatoshi Kanda has collaborated with scholars based in Japan, Spain and Germany. Frequent co-authors include Tatsuya Atsumi, Masaru Kato, Yuichiro Fujieda, Ryo Hisada, Olga Amengual, Michihito Kono, Daigo Nakazawa, Yuki Kudo, Kohei Karino and Kenji Oku. Their work appears in journals such as Clinical Immunology, Arthritis & Rheumatology, Cell Death Discovery, Autoimmunity Reviews and Nature Communications.
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.