Norimichi Koitabashi
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- David A. KassEiki TakimotoMasahiko KurabayashiDjahida BedjaJ. G. RowellKathleen L. GabrielsonManling ZhangMasashi Arai
- Topics
- Cardiovascular Function and Risk Factors (14 papers)Peroxisome Proliferator-Activated Receptors (9 papers)Heart Failure Treatment and Management (8 papers)
- Journals
- CirculationJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Norimichi Koitabashi
76 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 1.5k
- Physiology 498
- Surgery 335
- Pulmonary and Respiratory Medicine 258
Countries citing papers authored by Norimichi Koitabashi
This map shows the geographic impact of Norimichi Koitabashi'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 Norimichi Koitabashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norimichi Koitabashi more than expected).
Fields of papers citing papers by Norimichi Koitabashi
This network shows the impact of papers produced by Norimichi Koitabashi. 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 Norimichi Koitabashi. The network helps show where Norimichi Koitabashi may publish in the future.
Co-authorship network of co-authors of Norimichi Koitabashi
This figure shows the co-authorship network connecting the top 25 collaborators of Norimichi Koitabashi. A scholar is included among the top collaborators of Norimichi Koitabashi 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 Norimichi Koitabashi. Norimichi Koitabashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 43 | |
| 10 | 64 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 54 | |
| 14 | 62 | |
| 15 | 165 | |
| 16 | 23 | |
| 17 | 83 | |
| 18 | 73 | |
| 19 | Transcriptional Stimulation of eNOS Gene by Beraprost Sodium, a Prostacyclin Analogue, Is Mediated through cAMP-Responsive Element in Vascular Endothelial Cells | 1 |
| 20 | 35 |
About Norimichi Koitabashi
Norimichi Koitabashi is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Molecular Biology, having authored 83 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (14 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Heart Failure Treatment and Management (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Molecular Biology (1.5k citations) and Sensory Systems (101 citations). Norimichi Koitabashi has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include David A. Kass, Eiki Takimoto, Masahiko Kurabayashi, Djahida Bedja, J. G. Rowell, Kathleen L. Gabrielson, Manling Zhang, Masashi Arai, Atai Watanabe and Ari Zaiman. Their work appears in journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.