James M. Raymo

3.7k total citations · 1 hit paper
84 papers, 2.5k citations indexed

About

James M. Raymo is a scholar working on Demography, Sociology and Political Science and Gender Studies. According to data from OpenAlex, James M. Raymo has authored 84 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Demography, 59 papers in Sociology and Political Science and 37 papers in Gender Studies. Recurrent topics in James M. Raymo's work include Intergenerational Family Dynamics and Caregiving (44 papers), Family Dynamics and Relationships (42 papers) and Demographic Trends and Gender Preferences (23 papers). James M. Raymo is often cited by papers focused on Intergenerational Family Dynamics and Caregiving (44 papers), Family Dynamics and Relationships (42 papers) and Demographic Trends and Gender Preferences (23 papers). James M. Raymo collaborates with scholars based in United States, Japan and Singapore. James M. Raymo's co-authors include Yu Xie, Miho Iwasawa, Hyunjoon Park, Wei‐Jun Jean Yeung, Larry L. Bumpass, Kimberly A. Goyette, Arland Thornton, John Robert Warren, Bettina Kubicek and Christian Korunka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Contemporary Sociology A Journal of Reviews and American Sociological Review.

In The Last Decade

James M. Raymo

80 papers receiving 2.3k citations

Hit Papers

Marriage and Family in East Asia: Continuity and Change 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James M. Raymo United States 29 1.7k 1.6k 1.1k 460 274 84 2.5k
Johannes Huinink Germany 18 1.1k 0.6× 1.3k 0.8× 739 0.7× 218 0.5× 152 0.6× 67 1.9k
Bruno Arpino Italy 27 1.0k 0.6× 1.4k 0.8× 528 0.5× 385 0.8× 648 2.4× 107 2.4k
Henriette Engelhardt Germany 20 802 0.5× 782 0.5× 594 0.5× 272 0.6× 204 0.7× 82 1.4k
Anne H. Gauthier Netherlands 26 1.3k 0.8× 1.8k 1.1× 1.5k 1.3× 790 1.7× 212 0.8× 96 3.3k
David J. Eggebeen United States 30 1.5k 0.9× 2.3k 1.4× 881 0.8× 447 1.0× 590 2.2× 46 3.0k
Anne‐Rigt Poortman Netherlands 28 1.2k 0.7× 1.4k 0.9× 761 0.7× 184 0.4× 173 0.6× 63 1.9k
Daniele Vignoli Italy 29 1.8k 1.0× 1.4k 0.9× 1.3k 1.2× 523 1.1× 175 0.6× 98 2.6k
I‐Fen Lin United States 24 936 0.5× 1.3k 0.8× 414 0.4× 352 0.8× 560 2.0× 57 2.0k
Megan M. Sweeney United States 18 1.6k 0.9× 1.5k 0.9× 985 0.9× 259 0.6× 204 0.7× 34 2.2k
Judith A. Seltzer United States 31 2.3k 1.3× 2.4k 1.5× 1.3k 1.1× 331 0.7× 407 1.5× 67 3.2k

Countries citing papers authored by James M. Raymo

Since Specialization
Citations

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

Fields of papers citing papers by James M. Raymo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Raymo. 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 James M. Raymo. The network helps show where James M. Raymo may publish in the future.

Co-authorship network of co-authors of James M. Raymo

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Raymo. A scholar is included among the top collaborators of James M. Raymo 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 James M. Raymo. James M. Raymo 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
1.
Aassve, Arnstein, Alı́cia Adserà, Letizia Mencarini, et al.. (2024). Family ideals in an era of low fertility. Proceedings of the National Academy of Sciences. 121(6). e2311847121–e2311847121. 4 indexed citations
2.
Raymo, James M., et al.. (2024). The Demography of Remarriage in Japan. 1 indexed citations
3.
Ofstedal, Mary Beth, BoRin Kim, Jersey Liang, Xiao Xu, & James M. Raymo. (2024). SOCIOECONOMIC STATUS AND INTERGENERATIONAL LIVING ARRANGEMENTS: BOTH CHILD- AND PARENTS-BASED ANALYSES. Innovation in Aging. 8(Supplement_1). 844–845.
4.
Raymo, James M., et al.. (2023). Full‐time homemakers and economic disadvantage: The case of Japan. Gender Work and Organization. 31(6). 2309–2328. 2 indexed citations
5.
Raymo, James M., et al.. (2023). Gender differences in the impact of the COVID-19 pandemic on psychological well-being: evidence from Japan. Asian Population Studies. 20(3). 268–288. 1 indexed citations
6.
Raymo, James M., et al.. (2023). Family Norms and Declining First-Marriage Rates: The Role of Sibship Position in the Japanese Marriage Market. Demography. 60(3). 939–963. 3 indexed citations
7.
Mogi, Ryohei, et al.. (2023). An alternative version of the second demographic transition? Changing pathways to first marriage in Japan. Demographic Research. 49. 423–464. 4 indexed citations
8.
Raymo, James M.. (2022). The second demographic transition in Japan: a review of the evidence. 6(3). 267–287. 9 indexed citations
9.
Xu, Xiao, Jersey Liang, James M. Raymo, BoRin Kim, & Mary Beth Ofstedal. (2022). Defining Childlessness Among Middle-Aged and Older Americans: A Research Note. Demography. 59(3). 813–826. 3 indexed citations
10.
Raymo, James M. & Jia Wang. (2022). Loneliness at Older Ages in the United States: Lonely Life Expectancy and the Role of Loneliness in Health Disparities. Demography. 59(3). 921–947. 24 indexed citations
11.
Raymo, James M., et al.. (2021). Retirement Type and Cognitive Functioning in Japan. The Journals of Gerontology Series B. 77(4). 759–768. 6 indexed citations
12.
Raymo, James M., Xiao Xu, BoRin Kim, Jersey Liang, & Mary Beth Ofstedal. (2021). Later-Life Living Arrangements of Americans With and Without Children: A Life Table Approach. The Journals of Gerontology Series B. 77(1). 181–190. 2 indexed citations
13.
Raymo, James M., et al.. (2021). Living arrangements, intergenerational support, and married women’s subjective well-being. Asian Population Studies. 18(1). 87–107. 3 indexed citations
14.
Raymo, James M. & Hyunjoon Park. (2021). Social stratification and family change in Japan and Korea. Asian Population Studies. 17(3). 221–224. 1 indexed citations
15.
Raymo, James M., et al.. (2020). Parental resources and child well-being in East Asia: An overview. Chinese Journal of Sociology. 6(2). 197–218. 7 indexed citations
16.
Wang, Jia & James M. Raymo. (2020). Household income and child well-being in Japan: The role of grandparental coresidence and residential proximity. Chinese Journal of Sociology. 6(2). 286–314. 2 indexed citations
17.
Wang, Jia & James M. Raymo. (2020). Nonstandard Employment, Gender, and Subjective Well‐Being in Japan. Journal of Marriage and the Family. 83(3). 845–864. 8 indexed citations
18.
Raymo, James M., et al.. (2019). Revisiting the Educational Gradient in Marriage in Japan. Journal of Marriage and the Family. 82(4). 1378–1396. 41 indexed citations
19.
Raymo, James M. & Miho Iwasawa. (2008). Bridal Pregnancy and Spouse Pairing Patterns in Japan. Journal of Marriage and the Family. 70(4). 847–860. 48 indexed citations
20.
Raymo, James M. & Megan M. Sweeney. (2006). Work-Family Conflict and Retirement Preferences. The Journals of Gerontology Series B. 61(3). S161–S169. 1 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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