Akira Sugimoto
- Developmental Neuroscience top 5%
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 5
-
- Neuroscience and Neuropharmacology Research 6
- Immunology top 10%
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 6
- Virology top 10%
-
- Lung Cancer Treatments and Mutations 6
-
- Cancer Immunotherapy and Biomarkers 6
-
- Endometrial and Cervical Cancer Treatments 4
- Co-authors
- Kyuya KogureShigeki ShibaharaH. OnoderaAtsushi TakedaAtsushi IshigeSusumu IizukaEikichi HosoyaMasuo Obinata
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Akira Sugimoto
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Developmental Neuroscience 110
- Reproductive Medicine 142
- Cellular and Molecular Neuroscience 283
- Immunology 274
- Virology 61
Countries citing papers authored by Akira Sugimoto
This map shows the geographic impact of Akira Sugimoto'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 Akira Sugimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Sugimoto more than expected).
Fields of papers citing papers by Akira Sugimoto
This network shows the impact of papers produced by Akira Sugimoto. 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 Akira Sugimoto. The network helps show where Akira Sugimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Sugimoto, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 3 | |
| 6 | 2009 | 14 | |
| 7 | 2008 | 77 | |
| 8 | 2008 | 8 | |
| 9 | A Phase 2 study of AZD2171 in recurrent or persistent ovarian, peritoneal or fallopian tube cancer. A study of the PMH, Chicago, and California Phase II Consortia | 2007 | 1 |
| 10 | 2007 | 26 | |
| 11 | 2006 | 13 | |
| 12 | 2004 | 1 | |
| 13 | 2001 | 23 | |
| 14 | 2000 | 10 | |
| 15 | 1999 | 8 | |
| 16 | 1997 | 58 | |
| 17 | 1993 | 8 | |
| 18 | 1991 | 6 | |
| 19 | 1991 | 6 | |
| 20 | The relationship between phencyclidine-induced stereotyped behavior and dopamine release using in vivo voltammetry | 1988 | 3 |
About Akira Sugimoto
Akira Sugimoto is a scholar working on Developmental Neuroscience, Reproductive Medicine and Immunology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers), Lung Cancer Treatments and Mutations (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), T-cell and B-cell Immunology (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Developmental Neuroscience (110 citations), Reproductive Medicine (142 citations) and Cellular and Molecular Neuroscience (283 citations). Akira Sugimoto has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Kyuya Kogure, Shigeki Shibahara, H. Onodera, Atsushi Takeda, Atsushi Ishige, Susumu Iizuka, Eikichi Hosoya, Masuo Obinata, Masaki Aburada and Mitsutoshi Yuzurihara.
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.