Nancy E. Newall

2.8k citations
42 papers · 2.1k · h-index 24

Impact in

Papers in

    • Health disparities and outcomes 20
    • Psychological Well-being and Life Satisfaction 10
    • Grit, Self-Efficacy, and Motivation 3

Nancy E. Newall

40 papers receiving 2.0k citations

Peers

Nancy E. Newall
Comparison fields: 5 of 125
  • Neuropsychology and Physiological Psychology 241
  • Health 665
  • Experimental and Cognitive Psychology 428
  • Social Psychology 655
  • Applied Psychology 106
Replace Alfred Chan with:
Alfred Chan Hong Kong
Daniela S. Jopp Switzerland
Katherine L. Fiori United States
Frank J. Infurna United States
Eva Kahana United States
Damaris Aschwanden United States
Sanna Read United Kingdom
Lisa M. Warner Germany
Suzanne L. Weaver United States
Daniel S. Bailis Canada
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Citations per field
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Citations per year

Countries citing papers authored by Nancy E. Newall

Since Specialization
Citations

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

Fields of papers citing papers by Nancy E. Newall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy E. Newall. 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 Nancy E. Newall. The network helps show where Nancy E. Newall may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009276
2 2007248
3 2009156
4 2019143
5 2017142
6 2020117
7 201292
8 201489
9 201769
10 201366
11 201366
12 200766
13 201859
14 200951
15 200750
16 202145
17 201244
18 200840
19 201333
20 200732

About Nancy E. Newall

Nancy E. Newall is a scholar working on Health, Social Psychology, Neuropsychology and Physiological Psychology, Applied Psychology and Demography, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Health disparities and outcomes (20 papers), Aging and Gerontology Research (12 papers), Psychological Well-being and Life Satisfaction (10 papers), Optimism, Hope, and Well-being (7 papers), Migration, Aging, and Tourism Studies (5 papers), Education, Achievement, and Giftedness (4 papers), Health, psychology, and well-being (3 papers) and Grit, Self-Efficacy, and Motivation (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (241 citations), Health (665 citations), Experimental and Cognitive Psychology (428 citations), Social Psychology (655 citations) and Applied Psychology (106 citations). Nancy E. Newall has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Verena Menec, Raymond P. Perry, Judith G. Chipperfield, Tara L. Haynes, Robert H. Stupnisky, Lia M. Daniels, Reinhard Pekrun, Corey S. Mackenzie, Shahin Shooshtari and Scott Nowicki. Their work appears in journals such as Journal of Social and Personal Relationships, Journal of Aging and Health, PLoS ONE, Ageing and Society and Journal of Applied Gerontology.

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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