Phillip Joy

73 papers receiving 641 citations

Phillip Joy's Hit Papers

A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students 2018 · 210 citations
2100+2+5Years since publication50100150200

Peers

Phillip Joy
Comparison fields: 5 of 93
  • Safety Research 131
  • Pharmacy 39
  • Gender Studies 77
  • Experimental and Cognitive Psychology 81
  • Health Information Management 26
Replace Lynn Clouder with:
Lynn Clouder United Kingdom
Margaret L. Stubbs United States
Adam Lloyd Australia
Mary M. Johnston United States
Catherine Chambliss United States
Dana Cunningham United States
Maria Brann United States
Suzanne S. Hudd United States
Matthew C. Steinfeldt United States
Chih‐Yuan Weng Taiwan
Phillip Joy relative to Lynn Clouder United Kingdom Lynn Clouder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Phillip Joy

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Joy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A study of the correlation between STEM career knowledge, mathematics self-efficacy, career interests, and career activities on the likelihood of pursuing a STEM career among middle school students
Hit paper breakdown →
2018210
2 202061
3 201645
4 202024
5 201924
6 202117
7 202015
8 201814
9 201713
10 202212
11 202111
12 201910
13 202010
14 20219
15 20189
16 20249
17 20199
18 20179
19 20228
20 20216

About Phillip Joy

Phillip Joy is a scholar working on Clinical Psychology, Social Psychology, Sociology and Political Science, Pharmacy and Gender Studies, having authored 85 papers that have together received 659 indexed citations. Recurring topics across this work include LGBTQ Health, Identity, and Policy (19 papers), Obesity and Health Practices (16 papers), Sexuality, Behavior, and Technology (11 papers), Dietetics, Nutrition, and Education (10 papers), Eating Disorders and Behaviors (10 papers), Food Security and Health in Diverse Populations (7 papers), Gender, Feminism, and Media (7 papers) and Maternal Mental Health During Pregnancy and Postpartum (6 papers). The work is most often cited by research in Safety Research (131 citations), Pharmacy (39 citations), Gender Studies (77 citations), Experimental and Cognitive Psychology (81 citations) and Health Information Management (26 citations). Phillip Joy has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Karen Blotnicky, Tamara A. Franz‐Odendaal, Megan Aston, Håkan Larsson, Rachel Ollivier, Meaghan Sim, Sheri Price, Britney Benoit, Dave Holmes and Sara Kirk. Their work appears in journals such as Qualitative Health Research, Health Promotion Practice, Journal of Homosexuality, Gender Technology and Development and JBI Evidence Synthesis.

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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