Jun Koo

980 citations
42 papers · 660 · h-index 16

Impact in

Papers in

Jun Koo

39 papers receiving 581 citations

Peers

Jun Koo
Comparison fields: 5 of 77
  • Management of Technology and Innovation 118
  • Economics and Econometrics 405
  • Business and International Management 17
  • Strategy and Management 119
  • General Economics, Econometrics and Finance 64
Replace Giulia Faggio with:
Giulia Faggio United Kingdom
David Cuberes United States
Frank Crowley Ireland
Johan Klæsson Sweden
Salvador Pérez‐Moreno Spain
Carlo Corradini United Kingdom
Viktor Slavtchev Germany
Sara Maioli United Kingdom
Gaetano Vecchione Italy
Edward Nissan United States
Jun Koo relative to Giulia Faggio United Kingdom Giulia Faggio's profile →
Citations per field
00.5×1.5×1.8×
Giulia Faggio · 1×
Citations per year

Countries citing papers authored by Jun Koo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Koo, 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 Koo Line = papers co-authored together Jun Koo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200563
2 200559
3 200545
4 200542
5 200540
6 200338
7 200932
8 200430
9 202129
10 200829
11 200728
12 201127
13 200523
14 200719
15 201115
16 200715
17 200215
18 200610
19 201210
20 20189

About Jun Koo

Jun Koo is a scholar working on Economics and Econometrics, Strategy and Management, Management of Technology and Innovation, General Economics, Econometrics and Finance and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 660 indexed citations. Recurring topics across this work include Regional Economics and Spatial Analysis (16 papers), Fiscal Policy and Economic Growth (7 papers), Firm Innovation and Growth (6 papers), Entrepreneurship Studies and Influences (5 papers), Economic Growth and Productivity (5 papers), Global trade and economics (4 papers), Diverse Approaches in Healthcare and Education Studies (3 papers) and Regional Economic and Spatial Analysis (3 papers). The work is most often cited by research in Management of Technology and Innovation (118 citations), Economics and Econometrics (405 citations), Business and International Management (17 citations), Strategy and Management (119 citations) and General Economics, Econometrics and Finance (64 citations). Jun Koo has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Somik V. Lall, Michael I. Luger, Sanjoy Chakravorty, Taeeun Kim, Edward Feser, Uwe Deichmann, Marianne Fay, Ki-Bong Yoo, Filippo Carlo Wezel and Henry Renski. Their work appears in journals such as International Journal of Public Health, Journal of Korean Medical Science, The Annals of Regional Science, Economic Development Quarterly and Strategic Organization.

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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