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
- Lung Cancer Research Studies
Papers in
- Oncology 16
- Lung Cancer Research Studies 4
- Pancreatic and Hepatic Oncology Research 3
- CAR-T cell therapy research 2
- Co-authors
- Kazuhiko IgarashiAkihiko MutoSatoshi TashiroMakiko ItamiOsamu NakajimaSatoru TakahashiMasayuki YamamotoHideto Hoshino
- Journals
- Blood (2 papers)Genes Chromosomes and Cancer (1 paper)Clinical Cancer Research (1 paper)Annals of Surgery (1 paper)The Annals of Thoracic Surgery (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Dai Ikebe
22 papers receiving 901 citations
Peers
Comparison fields: 5 of 68
- Immunology 309
- Oncology 295
- Pulmonary and Respiratory Medicine 259
- Cancer Research 100
- Pathology and Forensic Medicine 92
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2018 | 7 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 3 | |
| 5 | 2015 | 11 | |
| 6 | 2014 | 28 | |
| 7 | 2014 | 16 | |
| 8 | 2013 | 0 | |
| 9 | 2013 | 15 | |
| 10 | 2013 | 47 | |
| 11 | 2011 | 28 | |
| 12 | 2010 | 125 | |
| 13 | 2010 | 10 | |
| 14 | 2010 | 163 | |
| 15 | 2009 | 3 | |
| 16 | 2007 | 24 | |
| 17 | 2006 | 14 | |
| 18 | 2006 | 48 | |
| 19 | 2006 | 8 | |
| 20 | 2004 | 226 |
About Dai Ikebe
Dai Ikebe is a scholar working on Oncology, Gastroenterology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Oral Surgery, having authored 26 papers that have together received 912 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Pluripotent Stem Cells Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (309 citations), Oncology (295 citations), Pulmonary and Respiratory Medicine (259 citations), Cancer Research (100 citations) and Pathology and Forensic Medicine (92 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, Osamu Nakajima, Satoru Takahashi, Masayuki Yamamoto, Hideto Hoshino, Yoshitaka Kimura and Kathryn Calame. Their work appears in journals such as Blood, Genes Chromosomes and Cancer, Clinical Cancer Research, Annals of Surgery and The Annals of Thoracic Surgery.
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.