David J. Roelfs

2.2k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

David J. Roelfs is a scholar working on Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, David J. Roelfs has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, 14 papers in General Health Professions and 9 papers in Sociology and Political Science. Recurrent topics in David J. Roelfs's work include Health disparities and outcomes (13 papers), Employment and Welfare Studies (11 papers) and Migration, Health and Trauma (5 papers). David J. Roelfs is often cited by papers focused on Health disparities and outcomes (13 papers), Employment and Welfare Studies (11 papers) and Migration, Health and Trauma (5 papers). David J. Roelfs collaborates with scholars based in United States, Canada and Israel. David J. Roelfs's co-authors include Eran Shor, Joseph E. Schwartz, Karina W. Davidson, Zoua M. Vang, Matthew M. Burg, Lynn Clemow, T. Brett Reece, Louise Falzon, Peter F. Korsching and Olfa Nasraoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Social Science & Medicine.

In The Last Decade

David J. Roelfs

23 papers receiving 1.3k citations

Hit Papers

Losing life and livelihood: A systematic review and meta-... 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Losing life and livelihood: A systematic review and meta-analysis of unemployment and all-cause mortality
    2011 420 citations David J. Roelfs, Eran Shor et al. Social Science & Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David J. Roelfs United States 14 717 663 317 302 183 25 1.4k
Ryan K. Masters United States 17 665 0.9× 701 1.1× 188 0.6× 233 0.8× 146 0.8× 32 1.4k
Jordi Mundó Spain 14 387 0.5× 643 1.0× 264 0.8× 241 0.8× 100 0.5× 41 1.5k
Steven G. Prus Canada 10 597 0.8× 474 0.7× 271 0.9× 244 0.8× 82 0.4× 16 1.0k
Marc A. García United States 21 498 0.7× 587 0.9× 531 1.7× 367 1.2× 131 0.7× 52 1.4k
Allison R. Heid United States 22 646 0.9× 360 0.5× 266 0.8× 250 0.8× 149 0.8× 63 1.2k
Inez M.A. Joung Netherlands 22 714 1.0× 719 1.1× 335 1.1× 368 1.2× 214 1.2× 26 1.9k
Stephanie Stuck Germany 3 659 0.9× 761 1.1× 163 0.5× 385 1.3× 485 2.7× 6 1.7k
Barbara Schaan Germany 3 645 0.9× 781 1.2× 150 0.5× 410 1.4× 476 2.6× 5 1.6k
Andrew Fenelon United States 20 678 0.9× 654 1.0× 335 1.1× 463 1.5× 151 0.8× 45 1.4k

Countries citing papers authored by David J. Roelfs

Since Specialization
Citations

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

Fields of papers citing papers by David J. Roelfs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Roelfs. 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 David J. Roelfs. The network helps show where David J. Roelfs may publish in the future.

Co-authorship network of co-authors of David J. Roelfs

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Roelfs. A scholar is included among the top collaborators of David J. Roelfs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Roelfs. David J. Roelfs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Johnson, David, et al.. (2022). The Influence of Public Health Faculty on College and University Plans During the COVID-19 Pandemic. Frontiers in Public Health. 9. 745232–745232. 1 indexed citations
5.
Roelfs, David J. & Eran Shor. (2021). The Effects of Ethno-cultural Origin–Destination Interactions on Immigrants’ Longevity. Journal of Immigrant and Minority Health. 24(5). 1345–1366. 7 indexed citations
6.
Shor, Eran & David J. Roelfs. (2021). A Global Meta-analysis of the Immigrant Mortality Advantage. International Migration Review. 55(4). 999–1028. 26 indexed citations
7.
Shor, Eran & David J. Roelfs. (2019). Climate shock: Moving to colder climates and immigrant mortality. Social Science & Medicine. 235. 112397–112397. 16 indexed citations
8.
Shor, Eran, David J. Roelfs, & Zoua M. Vang. (2017). The “Hispanic mortality paradox” revisited: Meta-analysis and meta-regression of life-course differentials in Latin American and Caribbean immigrants' mortality. Social Science & Medicine. 186. 20–33. 168 indexed citations
9.
Roelfs, David J., et al.. (2016). J-Curve? A Meta-Analysis and Meta-Regression of Parity and Parental Mortality. Population Research and Policy Review. 36(2). 273–308. 44 indexed citations
10.
Shor, Eran & David J. Roelfs. (2015). Social contact frequency and all-cause mortality: A meta-analysis and meta-regression. Social Science & Medicine. 128. 76–86. 92 indexed citations
11.
Roelfs, David J., et al.. (2015). Misery loves company? A meta-regression examining aggregate unemployment rates and the unemployment-mortality association. Annals of Epidemiology. 25(5). 312–322. 14 indexed citations
12.
Shor, Eran, et al.. (2013). The strength of family ties: A meta-analysis and meta-regression of self-reported social support and mortality. Social Networks. 35(4). 626–638. 168 indexed citations
13.
Shor, Eran & David J. Roelfs. (2013). The Longevity Effects of Religious and Nonreligious Participation: A Meta‐Analysis and Meta‐Regression. Journal for the Scientific Study of Religion. 52(1). 120–145. 45 indexed citations
14.
Shor, Eran, et al.. (2012). Meta-analysis of marital dissolution and mortality: Reevaluating the intersection of gender and age. Social Science & Medicine. 75(1). 46–59. 113 indexed citations
15.
Shor, Eran, et al.. (2012). Widowhood and Mortality: A Meta-Analysis and Meta-Regression. Demography. 49(2). 575–606. 153 indexed citations
16.
Roelfs, David J., Eran Shor, Karina W. Davidson, & Joseph E. Schwartz. (2011). Losing life and livelihood: A systematic review and meta-analysis of unemployment and all-cause mortality. Social Science & Medicine. 72(6). 840–854. 420 indexed citations breakdown →
17.
Roelfs, David J., et al.. (2011). The Rising Relative Risk of Mortality for Singles: Meta-Analysis and Meta-Regression. American Journal of Epidemiology. 174(4). 379–389. 59 indexed citations
18.
Roelfs, David J., et al.. (2011). The Rising Relative Risk of Mortality among Singles: Meta-analysis and Meta-regression. 7 indexed citations
19.
Roelfs, David J., et al.. (2010). War-related stress exposure and mortality: a meta-analysis. International Journal of Epidemiology. 39(6). 1499–1509. 19 indexed citations
20.
Korsching, Peter F. & David J. Roelfs. (2005). Change Agent Innovativeness: Community Economic Development Directors' Attitudes toward Telecommunications. os-22(1). 67–90. 2 indexed citations

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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