Jun Ikeda

148 papers receiving 3.5k citations

Peers

Jun Ikeda
Comparison fields: 5 of 151
  • Genetics 1.0k
  • Developmental Neuroscience 163
  • Neurology 503
  • Pathology and Forensic Medicine 306
  • Cellular and Molecular Neuroscience 293
Replace Giovanna Cenacchi with:
Giovanna Cenacchi Italy
Mahlon D. Johnson United States
Dov Soffer Israel
William C. Broaddus United States
Toshihiko Kubota Japan
M. Beatriz S. Lopes United States
Kenjiro Kosaki Japan
Umberto De Girolami United States
M. Kujas France
Chitra Sarkar India
Jun Ikeda relative to Giovanna Cenacchi Italy Giovanna Cenacchi's profile →
Citations per field
00.5×1.5×2×2.4×
Giovanna Cenacchi · 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 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lymphoproliferative disorders in rheumatoid arthritis: clinicopathological analysis of 76 cases in relation to methotrexate medication.
2007280
2 1998193
3 1996178
4 2003163
5 2003149
6 2002148
7 1998113
8 199790
9 201188
10 199585
11 199678
12 200474
13 200473
14 198269
15 201064
16 200361
17 199158
18 197755
19 200654
20 200452

About Jun Ikeda

Jun Ikeda is a scholar working on Surgery, Genetics, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 158 papers that have together received 3.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Gastric Cancer Management and Outcomes (9 papers), Cardiovascular Function and Risk Factors (8 papers), Meningioma and schwannoma management (8 papers), Tendon Structure and Treatment (6 papers), Metastasis and carcinoma case studies (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Genetics (1.0k citations), Developmental Neuroscience (163 citations), Neurology (503 citations), Pathology and Forensic Medicine (306 citations) and Cellular and Molecular Neuroscience (293 citations). Jun Ikeda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yutaka Sawamura, Hiroki Shirato, Mitsuhiro Tada, Hiroshi Abe, Yoshinobu Iwasaki, Nobuaki Ishii, Hidefumi Aoyama, Kazuo Miyasaka, Yutaka Sawamura and Satoshi Kuroda. Their work appears in journals such as Neuroradiology, International Journal of Radiation Oncology*Biology*Physics, Neurosurgery, American Heart Journal and Neurologia medico-chirurgica.

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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