Jennifer M. DiNallo

510 citations
22 papers · 386 indexed · h-index 11

Jennifer M. DiNallo

21 papers receiving 371 citations

Peers

Jennifer M. DiNallo
Comparison fields: 5 of 50
  • Obstetrics and Gynecology 165
  • Applied Psychology 46
  • Public Health, Environmental and Occupational Health 232
  • Clinical Psychology 140
  • Pharmacy 33
Replace Rui S. Xiao with:
Rui S. Xiao United States
Tuba Uçar Türkiye
Linda Hartley-Clark Australia
Laura Esteban‐Gonzalo Spain
Johannes Jaunig Austria
Sherry Van Blyderveen Canada
Robyn Stein DeLuca United States
Kathleen C. Spadaro United States
Susan Wilkinson United States
Claude de Tychey France
Jennifer M. DiNallo relative to Rui S. Xiao United States Rui S. Xiao's profile →
Citations per field
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Rui S. Xiao · 1×
Citations per year

Countries citing papers authored by Jennifer M. DiNallo

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. DiNallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. DiNallo. 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 Jennifer M. DiNallo. The network helps show where Jennifer M. DiNallo may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Jennifer M. DiNallo, 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 Jennifer M. DiNallo Line = papers co-authored together Jennifer M. DiNallo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 20200
3 20196
4 20182
5 20187
6 20184
7 201722
8 20175
9 201716
10 201510
11 201335
12 201225
13 200933
14 200953
15 200824
16 2008100
17 200815
18 200717
19 20076
20 20062

About Jennifer M. DiNallo

Jennifer M. DiNallo is a scholar working on Obstetrics and Gynecology, Applied Psychology, Clinical Psychology, Public Health, Environmental and Occupational Health and Safety Research, having authored 22 papers that have together received 386 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (8 papers), Gestational Diabetes Research and Management (7 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Behavioral Health and Interventions (4 papers), Eating Disorders and Behaviors (3 papers), Physical Activity and Health (3 papers), Child Welfare and Adoption (2 papers) and Health Policy Implementation Science (2 papers). The work is most often cited by research in Obstetrics and Gynecology (165 citations), Applied Psychology (46 citations), Public Health, Environmental and Occupational Health (232 citations), Clinical Psychology (140 citations) and Pharmacy (33 citations). Jennifer M. DiNallo has collaborated with scholars based in United States and Canada. Frequent co-authors include Danielle Symons Downs, Jennifer S. Savage, Daniel F. Perkins, Nancy I. Williams, Guy C. Le Masurier, Guy Le Masurier, Jan S. Ulbrecht, Ian M. Paul, Leann L. Birch and Keith R. Aronson. Their work appears in journals such as Journal of Physical Activity and Health, Research Quarterly for Exercise and Sport, Children and Youth Services Review, Journal of Children s Services and Journal of Adolescent Health.

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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