Fumitaka Ushikubi

16.1k citations
125 papers · 13.4k indexed · 6 hit papers · h-index 52
Topics
Inflammatory mediators and NSAID effects (67 papers)Eicosanoids and Hypertension Pharmacology (27 papers)Receptor Mechanisms and Signaling (24 papers)

In The Last Decade

Fumitaka Ushikubi

124 papers receiving 13.2k citations

Hit Papers

Prostanoid Receptors: Structures, Properties, and Functions19912026200220141999199720001991199850010001.5k2.0k

Peers

Fumitaka Ushikubi
Comparison fields: 5 of 132
  • Pharmacology 6.3k
  • Molecular Biology 4.5k
  • Physiology 2.5k
  • Genetics 2.4k
  • Biochemistry 2.3k
Replace Yukihiko Sugimoto with:
Yukihiko Sugimoto Japan
Matthew D. Breyer United States
Roderick J. Flower United Kingdom
Richard Breyer United States
Per‐Johan Jakobsson Sweden
R.J. Flower United Kingdom
J. Bryan Smith United States
Peter W. Ramwell United States
Akiyoshi Fukamizu Japan
S Bunting United States
Fumitaka Ushikubi relative to Yukihiko Sugimoto Japan Yukihiko Sugimoto's profile →
Citations per field
00.5×1.5×
Yukihiko Sugimoto · 1×
Citations per year

Countries citing papers authored by Fumitaka Ushikubi

Since Specialization
Citations

This map shows the geographic impact of Fumitaka Ushikubi'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 Fumitaka Ushikubi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumitaka Ushikubi more than expected).

Fields of papers citing papers by Fumitaka Ushikubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fumitaka Ushikubi. 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 Fumitaka Ushikubi. The network helps show where Fumitaka Ushikubi may publish in the future.

Co-authorship network of co-authors of Fumitaka Ushikubi

This figure shows the co-authorship network connecting the top 25 collaborators of Fumitaka Ushikubi. A scholar is included among the top collaborators of Fumitaka Ushikubi 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 Fumitaka Ushikubi. Fumitaka Ushikubi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 19
3 19
4 75
5 11
6 73
7 17
8 28
9 123
10 15
11 83
12 273
13 91
14 96
15 13
16 1
17 455
18 13
19 7
20 144

About Fumitaka Ushikubi

Fumitaka Ushikubi is a scholar working on Pharmacology, Biochemistry and Physiology, having authored 125 papers that have together received 13.4k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (67 papers), Eicosanoids and Hypertension Pharmacology (27 papers) and Receptor Mechanisms and Signaling (24 papers). The work is most often cited by research in Pharmacology (6.3k citations), Biochemistry (2.3k citations) and Physiology (2.5k citations). Fumitaka Ushikubi has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Shuh Narumiya, Yukihiko Sugimoto, Masakazu Hirata, Atsushi Ichikawa, Nobuaki Yoshida, Tatsunori Murata, Takashi Tanaka, Shuh Narumiya, Akira Kakizuka and Toshiyuki Matsuoka. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

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