Jun‐ichiro Ikeda

2.4k citations
110 papers · 1.6k · h-index 24

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Viral-associated cancers and disorders

Papers in

Jun‐ichiro Ikeda

94 papers receiving 1.6k citations

Peers

Jun‐ichiro Ikeda
Comparison fields: 5 of 107
  • Cancer Research 338
  • Oncology 465
  • Pathology and Forensic Medicine 257
  • Radiology, Nuclear Medicine and Imaging 302
  • Biophysics 64
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Yong S. Chang United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐ichiro Ikeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jun‐ichiro Ikeda Line = papers co-authored together Jun‐ichiro Ikeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201692
3 200882
4 201175
5 201174
6 201364
7 201162
8 201757
9 201556
10 200852
11 201249
12 201548
13 201839
14 201037
15 201733
16 202032
17 201831
18 200928
19 200728
20 200426

About Jun‐ichiro Ikeda

Jun‐ichiro Ikeda is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic 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), Gastric Cancer Management and Outcomes (6 papers) and Pancreatic and Hepatic Oncology Research (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, Yuzuru Ikehara, Hajime Sakakita, Masaru Hori, 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.

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