N Nakahata
- Co-authors
- T K HardenJohn R. HeplerH. Shelton EarpTimothy W. LovenbergJames DiguiseppiB. HermanYutaro ObaraArlene R. Hughes
- Topics
- Receptor Mechanisms and Signaling (9 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Inflammatory mediators and NSAID effects (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
N Nakahata
27 papers receiving 603 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 382
- Cellular and Molecular Neuroscience 119
- Physiology 104
- Immunology 82
- Pharmacology 61
Countries citing papers authored by N Nakahata
This map shows the geographic impact of N Nakahata'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 N Nakahata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Nakahata more than expected).
Fields of papers citing papers by N Nakahata
This network shows the impact of papers produced by N Nakahata. 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 N Nakahata. The network helps show where N Nakahata may publish in the future.
Co-authorship network of co-authors of N Nakahata
This figure shows the co-authorship network connecting the top 25 collaborators of N Nakahata. A scholar is included among the top collaborators of N Nakahata 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 N Nakahata. N Nakahata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 63 | |
| 3 | 12 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | Gq/11 communicates with thromboxane A2 receptors in human astrocytoma cells, rabbit astrocytes and human platelets. | 25 |
| 7 | A protein kinase C with divalent cations contributes to thromboxane A2-induced contraction in rabbit vascular smooth muscle. | 2 |
| 8 | 6 | |
| 9 | Thromboxane A2 receptor characterization in human astrocytoma cells and rabbit platelets by a new thromboxane antagonist, [3H]ONO NT-126. | 5 |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 174 | |
| 14 | 93 | |
| 15 | 93 | |
| 16 | The utility of adenylyl imidodiphosphate for desensitization of the presynaptic P1-and postsynaptic P2-purinergic receptors in rabbit detrusor. | 2 |
| 17 | Comparative heart rate effects of oral administration of bitolterol, terbutaline and trimetoquinol in unanesthetized dogs. | 2 |
| 18 | 15 | |
| 19 | Adrenergic beta 1- and beta 2-receptors in the isolated rabbit jejunum and ileum. | 3 |
| 20 | 2 |
About N Nakahata
N Nakahata is a scholar working on Physiology, Neurology and Developmental Neuroscience, having authored 27 papers that have together received 612 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Developmental Neuroscience (51 citations), Physiology (40 citations) and Neurology (56 citations). N Nakahata has collaborated with scholars based in Japan and United States. Frequent co-authors include T K Harden, John R. Hepler, H. Shelton Earp, Timothy W. Lovenberg, James Diguiseppi, B. Herman, Yutaro Obara, Arlene R. Hughes, Michael Wade Martin and Tatsumi Moriya. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Neuroscience.
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.