Dai Ikebe
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 12
- Pancreatic and Hepatic Oncology Research 3
- Viral-associated cancers and disorders 2
- Cancer Cells and Metastasis 2
-
- Lung Cancer Treatments and Mutations 4
- Sarcoma Diagnosis and Treatment 2
- Co-authors
- Kazuhiko Igarashi (5 shared papers)Akihiko Muto (4 shared papers)Satoshi Tashiro (3 shared papers)Makiko Itami (12 shared papers)Satoru Takahashi (1 shared paper)Osamu Nakajima (1 shared paper)Hideto Hoshino (1 shared paper)Masayuki Yamamoto (1 shared paper)
- Journals
- Blood (2 papers)Journal of Surgical Oncology (1 paper)Clinical Cancer Research (1 paper)Cancer Medicine (1 paper)The Breast (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Dai Ikebe
23 papers receiving 920 citations
Peers
Comparison fields: 5 of 66
- Immunology 300
- Oncology 245
- Pulmonary and Respiratory Medicine 214
- Cancer Research 71
- Pathology and Forensic Medicine 76
Countries citing papers authored by Dai Ikebe
This map shows the geographic impact of Dai Ikebe'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 Dai Ikebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Ikebe more than expected).
Fields of papers citing papers by Dai Ikebe
This network shows the impact of papers produced by Dai Ikebe. 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 Dai Ikebe. The network helps show where Dai Ikebe may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Ikebe, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 229 | |
| 2 | 2010 | 168 | |
| 3 | 2010 | 130 | |
| 4 | 2014 | 58 | |
| 5 | 2006 | 48 | |
| 6 | 2013 | 48 | |
| 7 | 2003 | 40 | |
| 8 | 2014 | 29 | |
| 9 | 2011 | 29 | |
| 10 | 2007 | 24 | |
| 11 | 2017 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2006 | 18 | |
| 14 | 2014 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2015 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 2018 | 8 | |
| 19 | 2006 | 8 | |
| 20 | 2009 | 3 |
About Dai Ikebe
Dai Ikebe is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 26 papers that have together received 936 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Pluripotent Stem Cells Research (2 papers), T-cell and B-cell Immunology (2 papers), Viral-associated cancers and disorders (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology (300 citations), Oncology (245 citations), Pulmonary and Respiratory Medicine (214 citations), Cancer Research (71 citations) and Pathology and Forensic Medicine (76 citations). Dai Ikebe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuhiko Igarashi, Akihiko Muto, Satoshi Tashiro, Makiko Itami, Satoru Takahashi, Osamu Nakajima, Hideto Hoshino, Masayuki Yamamoto, Kathryn Calame and Ari Itoh‐Nakadai. Their work appears in journals such as Blood, Journal of Surgical Oncology, Clinical Cancer Research, Cancer Medicine and The Breast.
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.