Takayoshi Ikeda
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Co-authors
- Valery L. FeiginRita KrishnamurthiElaine RonDale L. PrestonIsao ShimokawaKiyóhiko MabuchiMidori SodaDesmond Thompson
- Topics
- Birth, Development, and Health (7 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Glioma Diagnosis and Treatment (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEMolecular and Cellular Biology
- Partner nations
- JapanNew ZealandUnited States
In The Last Decade
Takayoshi Ikeda
107 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 546
- Radiology, Nuclear Medicine and Imaging 513
- Epidemiology 413
- Pulmonary and Respiratory Medicine 376
- Oncology 279
Countries citing papers authored by Takayoshi Ikeda
This map shows the geographic impact of Takayoshi 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 Takayoshi Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Ikeda more than expected).
Fields of papers citing papers by Takayoshi Ikeda
This network shows the impact of papers produced by Takayoshi 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 Takayoshi Ikeda. The network helps show where Takayoshi Ikeda may publish in the future.
Co-authorship network of co-authors of Takayoshi Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Ikeda. A scholar is included among the top collaborators of Takayoshi Ikeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takayoshi Ikeda. Takayoshi Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 11 | |
| 3 | 29 | |
| 4 | 35 | |
| 5 | 64 | |
| 6 | 169 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 51 | |
| 10 | 13 | |
| 11 | CANCER INCIDENCE IN JAPAN | 6 |
| 12 | 9 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 30 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 43 | |
| 19 | 1 | |
| 20 | 4 |
About Takayoshi Ikeda
Takayoshi Ikeda is a scholar working on Aging, Immunology and Allergy and Developmental Neuroscience, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Birth, Development, and Health (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Aging (86 citations), Ecological Modeling (138 citations) and Radiological and Ultrasound Technology (126 citations). Takayoshi Ikeda has collaborated with scholars based in Japan, New Zealand and United States. Frequent co-authors include Valery L. Feigin, Rita Krishnamurthi, Elaine Ron, Dale L. Preston, Isao Shimokawa, Kiyóhiko Mabuchi, Midori Soda, Desmond Thompson, Masayoshi Tokunaga and Yoshikazu Higami. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular and Cellular Biology.
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.