Jun Ikeda

2.4k citations
72 papers · 2k · h-index 25

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • Mesenchymal stem cell research
  • Surgery top 5%
    • Testicular diseases and treatments

Papers in

    • Glioma Diagnosis and Treatment 19
    • Testicular diseases and treatments 11
    • Teratomas and Epidermoid Cysts 3

Jun Ikeda

64 papers receiving 1.9k citations

Peers

Jun Ikeda
Comparison fields: 5 of 65
  • Genetics 670
  • Surgery 687
  • Neurology 177
  • Developmental Neuroscience 34
  • Pulmonary and Respiratory Medicine 288
Replace Y Ushio with:
Y Ushio Japan
Christian H. Rickert Germany
H. -D. Herrmann Germany
Minoru Shigemori Japan
Takamitsu Fujimaki Japan
Gianluca Marucci Italy
Masayoshi Kowada Japan
Margherita Lerone Italy
Donald C. Wright United States
Biagio Azzarelli United States
Jun Ikeda relative to Y Ushio Japan Y Ushio's profile →
Citations per field
00.5×1.5×1.8×
Y Ushio · 1×
Citations per year

Countries citing papers authored by Jun Ikeda

Since Specialization
Citations

This map shows the geographic impact of Jun 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 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 Ikeda more than expected).

Fields of papers citing papers by Jun Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun 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 Ikeda. The network helps show where Jun Ikeda may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun 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 Ikeda Line = papers co-authored together Jun Ikeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998198
2 2003164
3 2002160
4 2003150
5 1998112
6 199589
7 200476
8 200473
9 198269
10 200363
11 197754
12 200653
13 200451
14 200549
15 199847
16 199745
17 200843
18 201040
19 200333
20 199829

About Jun Ikeda

Jun Ikeda is a scholar working on Genetics, Surgery, Pulmonary and Respiratory Medicine, Oncology and Gastroenterology, having authored 72 papers that have together received 2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Testicular diseases and treatments (11 papers), Gastric Cancer Management and Outcomes (10 papers), Colorectal Cancer Surgical Treatments (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Brain Metastases and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Teratomas and Epidermoid Cysts (3 papers). The work is most often cited by research in Genetics (670 citations), Surgery (687 citations), Neurology (177 citations), Developmental Neuroscience (34 citations) and Pulmonary and Respiratory Medicine (288 citations). Jun Ikeda has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Yutaka Sawamura, Hiroki Shirato, Mitsuhiro Tada, Yoshinobu Iwasaki, Nobuaki Ishii, Hidefumi Aoyama, Kazuo Miyasaka, Yutaka Sawamura, Satoshi Kuroda and Kenji Fujieda. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Neurologia medico-chirurgica, Neurosurgery, Child s Nervous System and Journal of neurosurgery.

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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