Jay D. Teachman

7.6k citations
132 papers · 5.7k · h-index 40

Impact in

  • Demography top 0.05%
    • Family Dynamics and Relationships
    • Gender, Labor, and Family Dynamics
    • Demographic Trends and Gender Preferences

Papers in

Jay D. Teachman

130 papers receiving 4.7k citations

Peers

Jay D. Teachman
Comparison fields: 5 of 152
  • Demography 2.5k
  • Gender Studies 1.9k
  • Sociology and Political Science 3.3k
  • Health 479
  • General Health Professions 772
Replace Kathleen Kiernan with:
Kathleen Kiernan United Kingdom
Gary D. Sandefur United States
Toby L. Parcel United States
Ralph LaRossa United States
Glenna Spitze United States
Irwin Garfinkel United States
P.M. de Graaf Netherlands
Scott J. South United States
Steven L. Nock United States
Marta Tienda United States
Jay D. Teachman relative to Kathleen Kiernan United Kingdom Kathleen Kiernan's profile →
Citations per field
00.5×1.5×
Kathleen Kiernan · 1×
Citations per year

Countries citing papers authored by Jay D. Teachman

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Teachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Teachman. 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 Jay D. Teachman. The network helps show where Jay D. Teachman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987340
2 1980314
3 1996310
4 1995280
5 1997268
6 2002256
7 2000223
8 1988207
9 2003171
10 1997131
11 1982108
12 199099
13 200291
14 200290
15 199887
16 200485
17 200878
18 201078
19 199074
20 199367

About Jay D. Teachman

Jay D. Teachman is a scholar working on Sociology and Political Science, Demography, Gender Studies, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 132 papers that have together received 5.7k indexed citations. Recurring topics across this work include Family Dynamics and Relationships (54 papers), Gender, Labor, and Family Dynamics (43 papers), Intergenerational Family Dynamics and Caregiving (37 papers), Demographic Trends and Gender Preferences (20 papers), Employment and Welfare Studies (14 papers), Urban, Neighborhood, and Segregation Studies (11 papers), Global Maternal and Child Health (9 papers) and School Choice and Performance (8 papers). The work is most often cited by research in Demography (2.5k citations), Gender Studies (1.9k citations), Sociology and Political Science (3.3k citations), Health (479 citations) and General Health Professions (772 citations). Jay D. Teachman has collaborated with scholars based in United States, Ghana and Mexico. Frequent co-authors include Kathleen Paasch, Karen Carver, Karen A. Polonko, Lucky M. Tedrow, Kyle Crowder, S. Philip Morgan, Arland Thornton, William G. Axinn, John Scanzoni and Vaughn R. A. Call. Their work appears in journals such as Journal of Marriage and the Family, Social Forces, Journal of Family Issues, Demography 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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