Joonmo Cho
Impact in
- Gender Studies top 5%
- Gender, Labor, and Family Dynamics
- Demography top 5%
- Retirement, Disability, and Employment
Papers in
-
- Labor market dynamics and wage inequality 18
- Firm Innovation and Growth 9
-
- Work-Family Balance Challenges 5
- Co-authors
- Ayoung Lee (6 shared papers)Jae‐Seong Lee (4 shared papers)Sunwoong Kim (1 shared paper)Scott C. Linn (2 shared papers)W. Robert Reed (1 shared paper)Sang‐Hee Lee (1 shared paper)Hao Cui (1 shared paper)Yun Bae Kim (1 shared paper)
- Journals
- Sustainability (7 papers)Asian-Pacific Economic Literature (4 papers)Frontiers in Public Health (3 papers)Engineering Economics (3 papers)Journal of the Japanese and International Economies (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Joonmo Cho
65 papers receiving 702 citations
Peers
Comparison fields: 5 of 83
- Gender Studies 130
- Demography 159
- Public Administration 40
- Economics and Econometrics 286
- Modeling and Simulation 29
Countries citing papers authored by Joonmo Cho
This map shows the geographic impact of Joonmo Cho'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 Joonmo Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joonmo Cho more than expected).
Fields of papers citing papers by Joonmo Cho
This network shows the impact of papers produced by Joonmo Cho. 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 Joonmo Cho. The network helps show where Joonmo Cho may publish in the future.
Co-authors
The 8 scholars most cited alongside Joonmo Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2009 | 40 | |
| 3 | 2015 | 39 | |
| 4 | 2010 | 30 | |
| 5 | 2014 | 30 | |
| 6 | 2021 | 27 | |
| 7 | 2013 | 24 | |
| 8 | 2004 | 24 | |
| 9 | 2009 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2004 | 22 | |
| 12 | 2018 | 21 | |
| 13 | 2019 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 1996 | 19 | |
| 16 | 2004 | 19 | |
| 17 | 2010 | 19 | |
| 18 | 2011 | 18 | |
| 19 | 2005 | 18 | |
| 20 | 2016 | 17 |
About Joonmo Cho
Joonmo Cho is a scholar working on Economics and Econometrics, Sociology and Political Science, Demography, General Health Professions and Gender Studies, having authored 72 papers that have together received 750 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (18 papers), Retirement, Disability, and Employment (16 papers), Employment and Welfare Studies (10 papers), Firm Innovation and Growth (9 papers), Gender, Labor, and Family Dynamics (8 papers), Labor Movements and Unions (7 papers), Evaluation of Teaching Practices (6 papers) and Work-Family Balance Challenges (5 papers). The work is most often cited by research in Gender Studies (130 citations), Demography (159 citations), Public Administration (40 citations), Economics and Econometrics (286 citations) and Modeling and Simulation (29 citations). Joonmo Cho has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Ayoung Lee, Jae‐Seong Lee, Sunwoong Kim, Scott C. Linn, W. Robert Reed, Sang‐Hee Lee, Hao Cui and Yun Bae Kim. Their work appears in journals such as Sustainability, Asian-Pacific Economic Literature, Frontiers in Public Health, Engineering Economics and Journal of the Japanese and International Economies.
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.