J. Scott Brown
Impact in
- Health top 2%
- Health disparities and outcomes
Papers in
-
- Aging and Gerontology Research 5
- Health 22
- Health disparities and outcomes 22
- Co-authors
- Glen H. ElderSteven HitlinSarah O. MeadowsScott M. LynchTakashi YamashitaJennifer Roebuck BulandaJ. M. KinneyJiayin Liang
- Journals
- Journal of Applied Gerontology (4 papers)Innovation in Aging (4 papers)The Gerontologist (3 papers)Demography (3 papers)Social Science Research (2 papers)
- Partner nations
- United StatesSpainAustralia
In The Last Decade
J. Scott Brown
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Health 315
- Neuropsychology and Physiological Psychology 35
- Clinical Psychology 372
- Demography 197
- General Health Professions 353
Countries citing papers authored by J. Scott Brown
This map shows the geographic impact of J. Scott Brown'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 J. Scott Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Scott Brown more than expected).
Fields of papers citing papers by J. Scott Brown
This network shows the impact of papers produced by J. Scott Brown. 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 J. Scott Brown. The network helps show where J. Scott Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Scott Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 34 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 9 | |
| 11 | 2013 | 2 | |
| 12 | 2012 | 33 | |
| 13 | 2011 | 20 | |
| 14 | 2009 | 34 | |
| 15 | 2007 | 131 | |
| 16 | 2007 | 16 | |
| 17 | 2007 | 118 | |
| 18 | 2006 | 151 | |
| 19 | 2003 | 25 | |
| 20 | 2003 | 43 |
About J. Scott Brown
J. Scott Brown is a scholar working on Neuropsychology and Physiological Psychology, Health, Demography, General Health Professions and Social Psychology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health disparities and outcomes (22 papers), Global Health Care Issues (7 papers), Intergenerational Family Dynamics and Caregiving (7 papers), Racial and Ethnic Identity Research (6 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Aging and Gerontology Research (5 papers), Retirement, Disability, and Employment (5 papers) and Critical Race Theory in Education (4 papers). The work is most often cited by research in Health (315 citations), Neuropsychology and Physiological Psychology (35 citations), Clinical Psychology (372 citations), Demography (197 citations) and General Health Professions (353 citations). J. Scott Brown has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Glen H. Elder, Steven Hitlin, Sarah O. Meadows, Scott M. Lynch, Takashi Yamashita, Jennifer Roebuck Bulanda, J. M. Kinney, Jiayin Liang, Dawn Carr and Glenn W. Muschert. Their work appears in journals such as Journal of Applied Gerontology, Innovation in Aging, The Gerontologist, 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.