Takashi Ikejima
- Molecular Biology top 1%
- Epidemiology top 1%
- Immunology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Pharmacology top 0.5%
- Co-authors
- Satoshi OnoderaShin‐ichi TashiroC A DinarelloWU Li-junSeijiro OkusawaJeffrey A. GelfandRaymond J. ConnollyToshihiko Hayashi
- Topics
- Autophagy in Disease and Therapy (64 papers)Cell death mechanisms and regulation (53 papers)Bioactive Natural Diterpenoids Research (43 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Takashi Ikejima
262 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 5.1k
- Epidemiology 1.8k
- Immunology 1.6k
- Pulmonary and Respiratory Medicine 1.1k
- Pharmacology 994
Countries citing papers authored by Takashi Ikejima
This map shows the geographic impact of Takashi Ikejima'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 Takashi Ikejima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Ikejima more than expected).
Fields of papers citing papers by Takashi Ikejima
This network shows the impact of papers produced by Takashi Ikejima. 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 Takashi Ikejima. The network helps show where Takashi Ikejima may publish in the future.
Co-authorship network of co-authors of Takashi Ikejima
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Ikejima. A scholar is included among the top collaborators of Takashi Ikejima 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 Takashi Ikejima. Takashi Ikejima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 33 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 56 | |
| 8 | 30 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 76 | |
| 12 | 35 | |
| 13 | 33 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 16 | |
| 17 | 35 | |
| 18 | Effect of icariin and its metabolites on the production of cytokines by THP-1 cells. | 3 |
| 19 | 1 | |
| 20 | Interleukin 1 induces a shock-like state in rabbits. Synergism with tumor necrosis factor and the effect of cyclooxygenase inhibition.breakdown → | 781 |
About Takashi Ikejima
Takashi Ikejima is a scholar working on Toxicology, Molecular Biology and Geriatrics and Gerontology, having authored 264 papers that have together received 9.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (64 papers), Cell death mechanisms and regulation (53 papers) and Bioactive Natural Diterpenoids Research (43 papers). The work is most often cited by research in Toxicology (356 citations), Pharmacology (829 citations) and Geriatrics and Gerontology (288 citations). Takashi Ikejima has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Satoshi Onodera, Shin‐ichi Tashiro, C A Dinarello, WU Li-jun, Seijiro Okusawa, Jeffrey A. Gelfand, Raymond J. Connolly, Toshihiko Hayashi, Charles A. Dinarello and Feng Qiu. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.