Atsushi Inoue

12.5k citations
322 papers · 8.1k indexed · 2 hit papers · h-index 45

Atsushi Inoue

301 papers receiving 7.7k citations

Hit Papers

MicroRNA-140 plays dual roles in both cartilage developme...201020262015202020102012100200300400500

Peers

Atsushi Inoue
Comparison fields: 5 of 202
  • Molecular Biology 1.9k
  • Economics and Econometrics 1.6k
  • General Economics, Econometrics and Finance 1.3k
  • Organic Chemistry 1.3k
  • Finance 1.0k
Replace Andrew F. Siegel with:
Andrew F. Siegel United States
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Michael Wolf United States
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Atsushi Inoue relative to Andrew F. Siegel United States Andrew F. Siegel's profile →
Citations per field
00.5×20×40×56.9×
Andrew F. Siegel · 1×
Citations per year

Countries citing papers authored by Atsushi Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Inoue. A scholar is included among the top collaborators of Atsushi Inoue 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 Atsushi Inoue. Atsushi Inoue 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 9
2 1
3
The Role of the Prior in Estimating VAR Models with Sign Restrictions
2
4 30
5
Differential structures in C*-algebras
4
6 7
7
Information Criteria for Impulse Response Function Matching Estimation
0
8 7
9
Bagging Time Series Models
11
10
A PARTIAL SOLUTION FOR FEYNMAN'S PROBLEM: A NEW DERIVATION OF THE WEYL EQUATION
1
11 1
12 6
13 5
14 4
15 15
16 3
17 3
18 13
19
Unbounded Hilbert algebras as locally convex *-algebras
8
20 5

About Atsushi Inoue

Atsushi Inoue is a scholar working on Algebra and Number Theory, Mathematical Physics and General Economics, Econometrics and Finance, having authored 322 papers that have together received 8.1k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (52 papers), Advanced Topics in Algebra (47 papers) and Advanced Operator Algebra Research (38 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.3k citations), Finance (1.0k citations) and Algebra and Number Theory (431 citations). Atsushi Inoue has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Lutz Kilian, Barbara Rossi, Hiroshi Shinokubo, Koichiro Oshima, Gary Solon, Kazuya Kitagawa, Yoshio Kato, Hiroshi Asahara, Shigeru Miyaki and Shuhei Otsuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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