Dai Ikebe

1.2k citations
26 papers · 912 indexed · h-index 15

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

    • Lung Cancer Research Studies 4
    • Pancreatic and Hepatic Oncology Research 3
    • CAR-T cell therapy research 2

Dai Ikebe

22 papers receiving 901 citations

Peers

Dai Ikebe
Comparison fields: 5 of 68
  • Immunology 309
  • Oncology 295
  • Pulmonary and Respiratory Medicine 259
  • Cancer Research 100
  • Pathology and Forensic Medicine 92
Replace Bridget Charbonneau with:
Bridget Charbonneau United States
Jena D. French United States
Angela A. Guzzetta United States
Yoshinori Aono Japan
Monika Csóka Hungary
Émpar Mayordomo Spain
Pia Klausen Denmark
Fengchun Zhang China
Hui‐Lan Rao China
Zhiming Dong China
Dai Ikebe relative to Bridget Charbonneau United States Bridget Charbonneau's profile →
Citations per field
00.5×1.5×
Bridget Charbonneau · 1×
Citations per year

Countries citing papers authored by Dai Ikebe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dai Ikebe Line = papers co-authored together Dai Ikebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20187
3 20171
4 20173
5 201511
6 201428
7 201416
8 20130
9 201315
10 201347
11 201128
12 2010125
13 201010
14 2010163
15 20093
16 200724
17 200614
18 200648
19 20068
20 2004226

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.

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