Shuh Narumiya
- Molecular Biology top 0.02%
- Pharmacology top 0.01%
- Cell Biology top 0.01%
- Physiology top 0.05%
- Cellular and Molecular Neuroscience top 0.05%
- Co-authors
- Yukihiko SugimotoToshimasa IshizakiFumitaka UshikubiAtsushi IchikawaNaoki WatanabeMidori MaekawaNarito MoriiRobert A. Coleman
- Topics
- Inflammatory mediators and NSAID effects (197 papers)Estrogen and related hormone effects (68 papers)Receptor Mechanisms and Signaling (63 papers)
- Cited by
- PharmacologyCell BiologyBiochemistry
- Journals
- NatureScienceChemical Reviews
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shuh Narumiya
550 papers receiving 59.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 28.8k
- Pharmacology 14.4k
- Cell Biology 12.0k
- Physiology 8.6k
- Cellular and Molecular Neuroscience 8.3k
Countries citing papers authored by Shuh Narumiya
This map shows the geographic impact of Shuh Narumiya'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 Shuh Narumiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuh Narumiya more than expected).
Fields of papers citing papers by Shuh Narumiya
This network shows the impact of papers produced by Shuh Narumiya. 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 Shuh Narumiya. The network helps show where Shuh Narumiya may publish in the future.
Co-authorship network of co-authors of Shuh Narumiya
This figure shows the co-authorship network connecting the top 25 collaborators of Shuh Narumiya. A scholar is included among the top collaborators of Shuh Narumiya 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 Shuh Narumiya. Shuh Narumiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 27 | |
| 5 | PGE2-EP2/EP4 signaling elicits immunosuppression by driving the mregDC-Treg axis in inflammatory tumor microenvironmentbreakdown → | 85 |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 124 | |
| 10 | 104 | |
| 11 | 23 | |
| 12 | 94 | |
| 13 | 152 | |
| 14 | 258 | |
| 15 | 371 | |
| 16 | 377 | |
| 17 | 92 | |
| 18 | CELL-GROWTH AND DIFFERENTIATION ARE MEDIATED BY DIFFERENT SUBTYPES OF PROSTAGLANDIN-E RECEPTOR IN OSTEOBLASTIC CELL-LINE | 2 |
| 19 | Active transport and cellular accumulation of cyclopentenone prostaglandins: a mechanism of prostaglandin-induced growth inhibition. | 9 |
| 20 | Mode of action of antitumor prostaglandins | 1 |
About Shuh Narumiya
Shuh Narumiya is a scholar working on Pharmacology, Biochemistry and Immunology and Allergy, having authored 556 papers that have together received 60.6k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (197 papers), Estrogen and related hormone effects (68 papers) and Receptor Mechanisms and Signaling (63 papers). The work is most often cited by research in Pharmacology (14.4k citations), Cell Biology (12.0k citations) and Biochemistry (5.3k citations). Shuh Narumiya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yukihiko Sugimoto, Toshimasa Ishizaki, Fumitaka Ushikubi, Atsushi Ichikawa, Naoki Watanabe, Midori Maekawa, Narito Morii, Robert A. Coleman, William L. Smith and Akira Kakizuka. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.