Tomomi Ikeda
- Pharmacology top 1%
- Genetics top 10%
- Molecular Biology
- Oncology
- Cancer Research top 10%
- Co-authors
- Ichiro KudoHiroaki NarabaAkinori UenoMakoto MurakamiFumiaki KojimaYoshihito NakataniSachiko Oh‐ishiToshihiro Tanioka
- Topics
- Mesenchymal stem cell research (2 papers)Intracranial Aneurysms: Treatment and Complications (2 papers)Glycosylation and Glycoproteins Research (1 paper)
- Cited by
- PharmacologyBiochemistryGenetics
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Tomomi Ikeda
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Pharmacology 589
- Genetics 319
- Molecular Biology 309
- Oncology 175
- Cancer Research 165
Countries citing papers authored by Tomomi Ikeda
This map shows the geographic impact of Tomomi 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 Tomomi Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomomi Ikeda more than expected).
Fields of papers citing papers by Tomomi Ikeda
This network shows the impact of papers produced by Tomomi 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 Tomomi Ikeda. The network helps show where Tomomi Ikeda may publish in the future.
Co-authorship network of co-authors of Tomomi Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Tomomi Ikeda. A scholar is included among the top collaborators of Tomomi 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 Tomomi Ikeda. Tomomi 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 28 | |
| 8 | 30 | |
| 9 | Surveillance study on children "Kininaruko" with special needs in nursery schools | 3 |
| 10 | 11 | |
| 11 | 1 | |
| 12 | Regulation of Prostaglandin E2 Biosynthesis by Inducible Membrane-associated Prostaglandin E2 Synthase That Acts in Concert with Cyclooxygenase-2breakdown → | 808 |
| 13 | Hyaluronic acid inhibits the expression of u-PA, PAI-1, and u-PAR in human synovial fibroblasts of osteoarthritis and rheumatoid arthritis. | 39 |
| 14 | 84 | |
| 15 | 106 | |
| 16 | 43 | |
| 17 | Molecular cloning and expression of rat and mouse B61 gene: implications on organogenesis. | 13 |
| 18 | 2 | |
| 19 | An electron microscopic observation on the heart of a 9mm (C-R) human embryo. | 1 |
About Tomomi Ikeda
Tomomi Ikeda is a scholar working on Neurology, Genetics and Immunology and Allergy, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Pharmacology (589 citations), Biochemistry (151 citations) and Genetics (319 citations). Tomomi Ikeda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Ichiro Kudo, Hiroaki Naraba, Akinori Ueno, Makoto Murakami, Fumiaki Kojima, Yoshihito Nakatani, Sachiko Oh‐ishi, Toshihiro Tanioka, Hisao Matsunou and Fumio Konishi. Their work appears in journals such as Journal of Biological Chemistry, Neurology and Cancer.
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.