Jay A. Pearson

15 papers receiving 1.1k citations

Peers

Jay A. Pearson
Comparison fields: 5 of 98
  • Health 412
  • Aging 64
  • Neuropsychology and Physiological Psychology 26
  • General Health Professions 362
  • Behavioral Neuroscience 48
Replace Cleopatra M. Abdou with:
Cleopatra M. Abdou United States
Karla Espinosa Monteros United States
Michelle J. Sternthal United States
David J. Roelfs United States
Adolfo G. Cuevas United States
Jodi L. Ford United States
Aniruddha Das Canada
Jacquelyn Y. Taylor United States
Charrlotte Seib Australia
Hee‐Jin Jun United States
Jay A. Pearson relative to Cleopatra M. Abdou United States Cleopatra M. Abdou's profile →
Citations per field
00.5×10.7×
Cleopatra M. Abdou · 1×
Citations per year

Countries citing papers authored by Jay A. Pearson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jay A. Pearson Line = papers co-authored together Jay A. Pearson links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010320
2 2015192
3 2014171
4 2009133
5 2008100
6 201989
7 201659
8 202039
9 201032
10 201317
11 20229
12 20183
13 20241
14 20251
15 20091
16 20250
17 20240

About Jay A. Pearson

Jay A. Pearson is a scholar working on Aging, Health, Emergency Medical Services, Health, Toxicology and Mutagenesis and Sociology and Political Science, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Racial and Ethnic Identity Research (7 papers), Health disparities and outcomes (7 papers), Food Security and Health in Diverse Populations (4 papers), Migration, Health and Trauma (4 papers), Public Health Policies and Education (3 papers), Climate Change and Health Impacts (3 papers), Global Health Workforce Issues (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Health (412 citations), Aging (64 citations), Neuropsychology and Physiological Psychology (26 citations), General Health Professions (362 citations) and Behavioral Neuroscience (48 citations). Jay A. Pearson has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Arline T. Geronimus, K L Brown, Tracey Dawson Cruz, Margaret T. Hicken, Sarah J. Seashols‐Williams, Robert Kaestner, Danya E. Keene, Amy J. Schulz, Erin Linnenbringer and Elizabeth H. Blackburn. Their work appears in journals such as SSM - Population Health, American Journal of Public Health, Milbank Quarterly, Journal of Obesity 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.

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