Jun Nagayasu

936 citations
65 papers · 633 · h-index 15

Impact in

Papers in

Jun Nagayasu

57 papers receiving 530 citations

Peers

Jun Nagayasu
Comparison fields: 5 of 37
  • General Economics, Econometrics and Finance 428
  • Finance 310
  • Economics and Econometrics 505
  • Accounting 47
  • Management Science and Operations Research 22
Replace Øyvind Eitrheim with:
Øyvind Eitrheim Norway
Ambrogio Cesa-Bianchi United Kingdom
Iván Payá United Kingdom
Andrea Cipollini Italy
Eric Schaling South Africa
Hideaki Hirata Japan
Karsten R. Gerdrup Norway
Jagdish Handa Canada
William R. White Switzerland
Ralf Fendel Germany
Jun Nagayasu relative to Øyvind Eitrheim Norway Øyvind Eitrheim's profile →
Citations per field
00.5×1.5×2.5×
Øyvind Eitrheim · 1×
Citations per year

Countries citing papers authored by Jun Nagayasu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nagayasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Jun Nagayasu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Nagayasu Line = papers co-authored together Jun Nagayasu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200077
2 201563
3 200141
4 200231
5 200430
6 201123
7 199823
8 199922
9 199820
10 201018
11 200818
12 199816
13 200016
14 200715
15 199914
16 200314
17 201513
18 20049
19 20119
20 20078

About Jun Nagayasu

Jun Nagayasu is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Sociology and Political Science and Accounting, having authored 65 papers that have together received 633 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (43 papers), Global Financial Crisis and Policies (19 papers), Market Dynamics and Volatility (12 papers), Economic Policies and Impacts (11 papers), Fiscal Policy and Economic Growth (9 papers), Economic theories and models (9 papers), Financial Markets and Investment Strategies (7 papers) and Economic Growth and Productivity (7 papers). The work is most often cited by research in General Economics, Econometrics and Finance (428 citations), Finance (310 citations), Economics and Econometrics (505 citations), Accounting (47 citations) and Management Science and Operations Research (22 citations). Jun Nagayasu has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ronald MacDonald, Alberto Montagnoli, Joseph P. Byrne and Ying Liu. Their work appears in journals such as Journal of International Money and Finance, Sustainability, Finance research letters, International Review of Economics & Finance and Japan and the World Economy.

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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