Keita Ikeda
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Genetics
- Co-authors
- David B. MacLeodPhilip N. AinslieKurt J. SmithAndrew ShawNia C. S. LewisTrevor A. DayChris K. WillieNeil D. Eves
- Topics
- Traumatic Brain Injury and Neurovascular Disturbances (7 papers)Non-Invasive Vital Sign Monitoring (6 papers)Optical Imaging and Spectroscopy Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of PhysiologyThe FASEB Journal
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
Keita Ikeda
31 papers receiving 873 citations
Peers
Comparison fields: 5 of 85
- Neurology 360
- Radiology, Nuclear Medicine and Imaging 242
- Cardiology and Cardiovascular Medicine 234
- Pulmonary and Respiratory Medicine 194
- Genetics 162
Countries citing papers authored by Keita Ikeda
This map shows the geographic impact of Keita 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 Keita Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keita Ikeda more than expected).
Fields of papers citing papers by Keita Ikeda
This network shows the impact of papers produced by Keita 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 Keita Ikeda. The network helps show where Keita Ikeda may publish in the future.
Co-authorship network of co-authors of Keita Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Keita Ikeda. A scholar is included among the top collaborators of Keita 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 Keita Ikeda. Keita 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 | 8 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 44 | |
| 9 | 55 | |
| 10 | 53 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 83 | |
| 14 | 4 | |
| 15 | 382 | |
| 16 | 38 | |
| 17 | 40 | |
| 18 | [Changes in oxygen uptake and carbon dioxide elimination during induced hypotension in humans]. | 1 |
| 19 | [Clinical evaluation of sevoflurane--a multi-center clinical trial]. | 4 |
| 20 | [The measurement of lumbar resistance by the drip infusion epidural indicator]. | 1 |
About Keita Ikeda
Keita Ikeda is a scholar working on Developmental Neuroscience, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 32 papers that have together received 883 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Optical Imaging and Spectroscopy Techniques (6 papers). The work is most often cited by research in Neurology (360 citations), Endocrine and Autonomic Systems (146 citations) and Critical Care and Intensive Care Medicine (71 citations). Keita Ikeda has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include David B. MacLeod, Philip N. Ainslie, Kurt J. Smith, Andrew Shaw, Nia C. S. Lewis, Trevor A. Day, Chris K. Willie, Neil D. Eves, Yu‐Chieh Tzeng and Charles Vacchiano. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and The FASEB Journal.
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.