Jack Lam

57 papers receiving 796 citations

Peers

Jack Lam
Comparison fields: 5 of 108
  • Neuropsychology and Physiological Psychology 36
  • Health 110
  • General Health Professions 231
  • Organizational Behavior and Human Resource Management 81
  • Gender Studies 67
Replace Michelle Pannor Silver with:
Michelle Pannor Silver Canada
Hyunwoo Yoon United States
Paulin Tay Straughan Singapore
Kerry E. Joyce United Kingdom
Alisa Grigorovich Canada
Samantha L. Solimeo United States
Sharon E. Roberts Canada
Mayank Rai India
Cherisse Lynn Seaton Canada
Minfu He China
Jack Lam relative to Michelle Pannor Silver Canada Michelle Pannor Silver's profile →
Citations per field
00.5×2×3×4×4.8×
Michelle Pannor Silver · 1×
Citations per year

Countries citing papers authored by Jack Lam

Since Specialization
Citations

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

Fields of papers citing papers by Jack Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008165
2 2013140
3 201393
4 201443
5 201339
6 201929
7 201924
8 202118
9 201817
10 202117
11 202116
12 201414
13 202213
14 201512
15 202212
16 202211
17 202211
18 202111
19 202110
20 20179

About Jack Lam

Jack Lam is a scholar working on Health, General Health Professions, Sociology and Political Science, Gender Studies and Social Psychology, having authored 62 papers that have together received 835 indexed citations. Recurring topics across this work include Health disparities and outcomes (19 papers), Employment and Welfare Studies (18 papers), Work-Family Balance Challenges (15 papers), Intergenerational Family Dynamics and Caregiving (8 papers), Gender, Labor, and Family Dynamics (6 papers), Retirement, Disability, and Employment (5 papers), Psychological Well-being and Life Satisfaction (5 papers) and Youth Education and Societal Dynamics (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (36 citations), Health (110 citations), General Health Professions (231 citations), Organizational Behavior and Human Resource Management (81 citations) and Gender Studies (67 citations). Jack Lam has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Phyllis Moen, Erin L. Kelly, Samantha K. Ammons, Wen Fan, Mai N. Nguyen‐Huynh, S. Claiborne Johnston, Eric Vittinghoff, Joey English, Max Wintermark and Wade S. Smith. Their work appears in journals such as The Journals of Gerontology Series B, Journal of Applied Gerontology, Social Science & Medicine, Research on Aging and Advances in Life Course 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.

Explore authors with similar magnitude of impact