John Mullahy

8.0k citations
78 papers · 5.2k · 3 hit papers · h-index 28

Impact in

Papers in

John Mullahy

74 papers receiving 4.9k citations

John Mullahy's Hit Papers

Much ado about two: reconsidering retransformation and the two-part model in health econometrics 1998 · 530 citations
5300+13+26Years since publication4008001.2k

Peers

John Mullahy
Comparison fields: 5 of 182
  • Statistics and Probability 616
  • Economics and Econometrics 1.8k
  • General Health Professions 1.0k
  • Health 234
  • General Decision Sciences 55
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Countries citing papers authored by John Mullahy

Since Specialization
Citations

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

Fields of papers citing papers by John Mullahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Specification and testing of some modified count data models
Hit paper breakdown →
19861333
2
Net Health Benefits
Hit paper breakdown →
1998876
3
Much ado about two: reconsidering retransformation and the two-part model in health econometrics
Hit paper breakdown →
1998530
4 1997256
5 2006168
6 1996166
7 2005143
8 2003132
9 1993126
10 1997119
11 199999
12 201481
13
Gender differences in labor market effects of alcoholism
199176
14 200268
15
Life-cycle effects of alcoholism on education, earnings, and occupation.
198965
16 200961
17 201061
18 201059
19 198657
20 199045

About John Mullahy

John Mullahy is a scholar working on Economics and Econometrics, General Health Professions, Statistics and Probability, Sociology and Political Science and Epidemiology, having authored 78 papers that have together received 5.2k indexed citations. Recurring topics across this work include Healthcare Policy and Management (17 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Global Health Care Issues (13 papers), Statistical Methods and Bayesian Inference (8 papers), Gender, Labor, and Family Dynamics (7 papers), Economic and Environmental Valuation (7 papers), Substance Abuse Treatment and Outcomes (6 papers) and Employment and Welfare Studies (6 papers). The work is most often cited by research in Statistics and Probability (616 citations), Economics and Econometrics (1.8k citations), General Health Professions (1.0k citations), Health (234 citations) and General Decision Sciences (55 citations). John Mullahy has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Aaron A. Stinnett, Jody L. Sindelar, Paul R. Portney, David A. Kindig, Willard G. Manning, Hong Wang, Anirban Basu, Stéphanie Robert, Edward C. Norton and Raymond J. Kopp. Their work appears in journals such as Health Economics, Journal of Health Economics, Quality of Life Research, Empirical Economics and Regional Science and Urban Economics.

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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