Jun‐ichiro Ikeda
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 10
- Oncology top 5%
- Cancer Cells and Metastasis 14
- Pancreatic and Hepatic Oncology Research 6
-
- Lymphoma Diagnosis and Treatment 15
- Biophysics top 5%
-
- CNS Lymphoma Diagnosis and Treatment 8
-
- Immune Cell Function and Interaction 7
-
- Renal cell carcinoma treatment 6
- Gastric Cancer Management and Outcomes 6
- Co-authors
- Eiichi MoriiKatsuyuki AozasaNaoki WadaYumiko HoriSatoshi NojimaMasaru HoriHajime SakakitaYuzuru Ikehara
- Partner nations
- JapanChinaUnited States
In The Last Decade
Jun‐ichiro Ikeda
94 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 338
- Oncology 465
- Pathology and Forensic Medicine 257
- Radiology, Nuclear Medicine and Imaging 302
- Biophysics 64
Countries citing papers authored by Jun‐ichiro Ikeda
This map shows the geographic impact of Jun‐ichiro Ikeda'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 Jun‐ichiro Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichiro Ikeda more than expected).
Fields of papers citing papers by Jun‐ichiro Ikeda
This network shows the impact of papers produced by Jun‐ichiro Ikeda. 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 Jun‐ichiro Ikeda. The network helps show where Jun‐ichiro Ikeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun‐ichiro Ikeda, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2020 | 32 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 15 | |
| 16 | 2018 | 39 | |
| 17 | 2018 | 25 | |
| 18 | 2017 | 57 | |
| 19 | 2015 | 8 | |
| 20 | 2015 | 10 |
About Jun‐ichiro Ikeda
Jun‐ichiro Ikeda is a scholar working on Cancer Research, Oncology, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 110 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Cancer Cells and Metastasis (14 papers), Cancer, Hypoxia, and Metabolism (10 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (7 papers), Renal cell carcinoma treatment (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Gastric Cancer Management and Outcomes (6 papers). The work is most often cited by research in Cancer Research (338 citations), Oncology (465 citations), Pathology and Forensic Medicine (257 citations), Radiology, Nuclear Medicine and Imaging (302 citations) and Biophysics (64 citations). Jun‐ichiro Ikeda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Eiichi Morii, Katsuyuki Aozasa, Naoki Wada, Yumiko Hori, Satoshi Nojima, Masaru Hori, Hajime Sakakita, Yuzuru Ikehara, Shinichiro Tahara and Yi Wang. Their work appears in journals such as Cancer Science, Scientific Reports, Laboratory Investigation, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and American Journal Of Pathology.
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.