Ming‐Ching Luoh
Impact in
- Health top 5%
- Health disparities and outcomes
- Gender Studies top 5%
- Gender, Labor, and Family Dynamics
- Demographic Trends and Gender Preferences
Papers in
-
- Gender, Labor, and Family Dynamics 3
- Demographic Trends and Gender Preferences 2
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- Financial Literacy, Pension, Retirement Analysis 4
- Co-authors
- A. Regula Herzog (1 shared paper)Kerwin Kofi Charles (1 shared paper)Erik Hurst (2 shared papers)Frank P. Stafford (2 shared papers)William G. Gale (1 shared paper)Ming‐Jen Lin (2 shared papers)Shiu‐Sheng Chen (1 shared paper)Hiromi Ono (1 shared paper)
- Journals
- American Economic Review (1 paper)Social Indicators Research (1 paper)Brookings Papers on Economic Activity (1 paper)Journal of Family Issues (1 paper)American Journal of Human Biology (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ming‐Ching Luoh
8 papers receiving 545 citations
Peers
Comparison fields: 5 of 59
- Health 113
- Gender Studies 142
- Neuropsychology and Physiological Psychology 20
- Demography 158
- Accounting 128
Countries citing papers authored by Ming‐Ching Luoh
This map shows the geographic impact of Ming‐Ching Luoh'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 Ming‐Ching Luoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ching Luoh more than expected).
Fields of papers citing papers by Ming‐Ching Luoh
This network shows the impact of papers produced by Ming‐Ching Luoh. 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 Ming‐Ching Luoh. The network helps show where Ming‐Ching Luoh may publish in the future.
Co-authors
The 9 scholars most cited alongside Ming‐Ching Luoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 244 | |
| 2 | 1998 | 161 | |
| 3 | 2010 | 130 | |
| 4 | 2008 | 43 | |
| 5 | 2009 | 18 | |
| 6 | Wealth Dynamics of American Familes: 1984-1994 1 | 1998 | 10 |
| 7 | 2003 | 6 | |
| 8 | 2012 | 5 |
About Ming‐Ching Luoh
Ming‐Ching Luoh is a scholar working on Gender Studies, Accounting, Demography, Finance and Economics and Econometrics, having authored 8 papers that have together received 617 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (4 papers), Gender, Labor, and Family Dynamics (3 papers), Demographic Trends and Gender Preferences (2 papers), Housing, Finance, and Neoliberalism (2 papers), Family Dynamics and Relationships (2 papers), Labor market dynamics and wage inequality (1 paper), Global Maternal and Child Health (1 paper) and demographic modeling and climate adaptation (1 paper). The work is most often cited by research in Health (113 citations), Gender Studies (142 citations), Neuropsychology and Physiological Psychology (20 citations), Demography (158 citations) and Accounting (128 citations). Ming‐Ching Luoh has collaborated with scholars based in Taiwan and United States. Frequent co-authors include A. Regula Herzog, Kerwin Kofi Charles, Erik Hurst, Frank P. Stafford, William G. Gale, Ming‐Jen Lin, Shiu‐Sheng Chen, Hiromi Ono and Pei‐Jer Chen. Their work appears in journals such as American Economic Review, Social Indicators Research, Brookings Papers on Economic Activity, Journal of Family Issues and American Journal of Human Biology.
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.