Daisuke Irikura

1.2k total citations
29 papers, 946 citations indexed

About

Daisuke Irikura is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Daisuke Irikura has authored 29 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Pharmacology. Recurrent topics in Daisuke Irikura's work include Inflammatory mediators and NSAID effects (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Polyamine Metabolism and Applications (3 papers). Daisuke Irikura is often cited by papers focused on Inflammatory mediators and NSAID effects (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Polyamine Metabolism and Applications (3 papers). Daisuke Irikura collaborates with scholars based in Japan, United States and Germany. Daisuke Irikura's co-authors include Yoshihiro Urade, Y. Urade, Noriaki Eguchi, Yoshihide Kanaoka, G. J. Killian, Masashi Miyano, Osamu Hayaishi, Hideo Ago, David A. Chapman and Bing Lam and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Daisuke Irikura

29 papers receiving 907 citations

Peers

Daisuke Irikura
Comparison fields: 5 of 97
  • Molecular Biology 420
  • Pharmacology 167
  • Physiology 159
  • Genetics 134
  • Reproductive Medicine 111
Replace Lanfranco Corazzi with:
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Marc Sylvester Germany
Jui Pandhare United States
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F G Berger United States
Clemens Prinsen Netherlands
Ivaylo P. Ivanov United States
Richard Haworth United Kingdom
Charles F. Aylsworth United States
Lanfranco Corazzi Italy View profile →
Citations per field, relative to Daisuke Irikura
Daisuke Irikura · 1×
Citations per year, relative to Daisuke Irikura
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Countries citing papers authored by Daisuke Irikura

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Irikura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Irikura

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Irikura. A scholar is included among the top collaborators of Daisuke Irikura 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 Daisuke Irikura. Daisuke Irikura 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
# Work Indexed citations
1 1
2 9
3 6
4 31
5 33
6 15
7 29
8 40
9 34
10 10
11 113
12 5
13 28
14 46
15 56
16 20
17 51
18 100
19 134
20 2

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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