Ming‐Jen Lin

1.5k citations
43 papers · 679 · h-index 12

Impact in

Papers in

Ming‐Jen Lin

41 papers receiving 631 citations

Peers

Ming‐Jen Lin
Comparison fields: 5 of 96
  • Gender Studies 132
  • Sociology and Political Science 356
  • Safety Research 63
  • Health 62
  • Pediatrics, Perinatology and Child Health 140
Replace J. J. Donohue with:
J. J. Donohue United States
Duncan Lawrence United States
Sara Heller United States
Damian Clarke United Kingdom
Andreas Kühn Switzerland
Petra Persson United States
Aline Bütikofer Norway
Daniel Hungerman United States
Barry Edmonston Canada
Dan Anderberg United Kingdom
Ming‐Jen Lin relative to J. J. Donohue United States J. J. Donohue's profile →
Citations per field
00.5×4.1×
J. J. Donohue · 1×
Citations per year

Countries citing papers authored by Ming‐Jen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jen Lin. 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‐Jen Lin. The network helps show where Ming‐Jen Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008141
2 200991
3 201489
4 200758
5 201446
6 200840
7 200928
8 200827
9 201424
10 200722
11 201912
12 201611
13 20199
14 20237
15 20227
16 20107
17 20156
18 20196
19 20165
20 20214

About Ming‐Jen Lin

Ming‐Jen Lin is a scholar working on Sociology and Political Science, Economics and Econometrics, Gender Studies, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 43 papers that have together received 679 indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (6 papers), Crime Patterns and Interventions (4 papers), Intergenerational and Educational Inequality Studies (4 papers), Health disparities and outcomes (4 papers), Birth, Development, and Health (4 papers), Merger and Competition Analysis (3 papers), Labor market dynamics and wage inequality (3 papers) and Media Influence and Politics (3 papers). The work is most often cited by research in Gender Studies (132 citations), Sociology and Political Science (356 citations), Safety Research (63 citations), Health (62 citations) and Pediatrics, Perinatology and Child Health (140 citations). Ming‐Jen Lin has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Elaine M. Liu, Jin‐Tan Liu, Ming‐Ching Luoh, Nancy Qian, Shin‐Yi Chou, Yu‐Wei Luke Chu, Hans H. Tung, Chia‐Chi Chang, Steven D. Levitt and Tzu‐Ting Yang. Their work appears in journals such as Health Economics, Social Science & Medicine, Innovation in Aging, The Journal of Human Resources and Social Science Research.

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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