Jay A. Pearson
Impact in
Papers in
- Health 6
- Health disparities and outcomes 5
-
- Racial and Ethnic Identity Research 6
- Co-authors
- Arline T. Geronimus (7 shared papers)Margaret T. Hicken (1 shared paper)K L Brown (1 shared paper)Tracey Dawson Cruz (1 shared paper)Sarah J. Seashols‐Williams (1 shared paper)Danya E. Keene (1 shared paper)Robert Kaestner (1 shared paper)Amy J. Schulz (2 shared papers)
- Journals
- SSM - Population Health (3 papers)American Journal of Public Health (2 papers)Milbank Quarterly (2 papers)Social Science Quarterly (1 paper)Du Bois Review Social Science Research on Race (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Jay A. Pearson
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Health 306
- Aging 40
- General Health Professions 315
- Behavioral Neuroscience 41
- Neuropsychology and Physiological Psychology 17
Countries citing papers authored by Jay A. Pearson
This map shows the geographic impact of Jay A. Pearson'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 A. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay A. Pearson more than expected).
Fields of papers citing papers by Jay A. Pearson
This network shows the impact of papers produced by Jay A. Pearson. 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 A. Pearson. The network helps show where Jay A. Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay A. Pearson, 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 | 2010 | 333 | |
| 2 | 2014 | 205 | |
| 3 | 2015 | 200 | |
| 4 | 2009 | 142 | |
| 5 | 2008 | 102 | |
| 6 | 2019 | 98 | |
| 7 | 2016 | 65 | |
| 8 | 2020 | 47 | |
| 9 | 2010 | 35 | |
| 10 | 2013 | 17 | |
| 11 | 2022 | 12 | |
| 12 | 2018 | 3 | |
| 13 | 2009 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 |
About Jay A. Pearson
Jay A. Pearson is a scholar working on Health, Sociology and Political Science, Clinical Psychology, General Health Professions and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Racial and Ethnic Identity Research (6 papers), Health disparities and outcomes (5 papers), Migration, Health and Trauma (4 papers), Telomeres, Telomerase, and Senescence (2 papers), Global Health Workforce Issues (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Food Security and Health in Diverse Populations (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Health (306 citations), Aging (40 citations), General Health Professions (315 citations), Behavioral Neuroscience (41 citations) and Neuropsychology and Physiological Psychology (17 citations). Jay A. Pearson has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Arline T. Geronimus, Margaret T. Hicken, K L Brown, Tracey Dawson Cruz, Sarah J. Seashols‐Williams, Danya E. Keene, Robert Kaestner, Amy J. Schulz, Erin Linnenbringer and Elissa S. Epel. Their work appears in journals such as SSM - Population Health, American Journal of Public Health, Milbank Quarterly, Social Science Quarterly and Du Bois Review Social Science Research on Race.
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.