Daiko Wakita
- Immunology top 1%
- Immune Cell Function and Interaction 31
- Immunotherapy and Immune Responses 31
- T-cell and B-cell Immunology 19
- Immune Response and Inflammation 10
- Immune cells in cancer 5
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 9
- Biological Psychiatry top 10%
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- Inflammasome and immune disorders 6
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- Kawasaki Disease and Coronary Complications 9
- Co-authors
- Takashi NishimuraHidemitsu KitamuraKenji ChamotoTakayuki OhkuriYoichiro IwakuraTsuguhide TakeshimaYuji TogashiYoshinori Narita
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Daiko Wakita
62 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Immunology 1.6k
- Oncology 783
- Biological Psychiatry 31
- Pulmonary and Respiratory Medicine 325
- Molecular Biology 609
Countries citing papers authored by Daiko Wakita
This map shows the geographic impact of Daiko Wakita'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 Daiko Wakita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiko Wakita more than expected).
Fields of papers citing papers by Daiko Wakita
This network shows the impact of papers produced by Daiko Wakita. 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 Daiko Wakita. The network helps show where Daiko Wakita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daiko Wakita, 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 | 4 | |
| 2 | 2023 | 6 | |
| 3 | 2021 | 2 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 104 | |
| 6 | 2018 | 20 | |
| 7 | Abstract 20825: Role of Intestinal Permeability and Secretory Iga in the Development of Cardiovascular Pathology in a Murine Model of Kawasaki Disease | 2017 | 2 |
| 8 | 2017 | 1 | |
| 9 | 2012 | 16 | |
| 10 | 2012 | 54 | |
| 11 | 2010 | 201 | |
| 12 | 2010 | 18 | |
| 13 | 2010 | 9 | |
| 14 | 2009 | 31 | |
| 15 | 2009 | 18 | |
| 16 | 2008 | 146 | |
| 17 | 2007 | 4 | |
| 18 | 2006 | 22 | |
| 19 | 2006 | 6 | |
| 20 | 2004 | 122 |
About Daiko Wakita
Daiko Wakita is a scholar working on Immunology, Oncology and Emergency Medical Services, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (31 papers), Immunotherapy and Immune Responses (31 papers), T-cell and B-cell Immunology (19 papers), Immune Response and Inflammation (10 papers), Kawasaki Disease and Coronary Complications (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Inflammasome and immune disorders (6 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Immunology (1.6k citations), Oncology (783 citations) and Biological Psychiatry (31 citations). Daiko Wakita has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takashi Nishimura, Hidemitsu Kitamura, Kenji Chamoto, Takayuki Ohkuri, Yoichiro Iwakura, Tsuguhide Takeshima, Yuji Togashi, Yoshinori Narita, Kentaro Sumida and Hiroaki Ikeda. Their work appears in journals such as Cancer Science, International Immunology, Cancer Research, Immunology Letters and European Journal of Immunology.
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.