Danielle A. Young

403 citations
30 papers · 287 · h-index 10

Impact in

Papers in

Danielle A. Young

28 papers receiving 277 citations

Peers

Danielle A. Young
Comparison fields: 5 of 71
  • Behavioral Neuroscience 76
  • Clinical Psychology 134
  • Applied Psychology 26
  • Biological Psychiatry 10
  • Experimental and Cognitive Psychology 49
Replace Wilson S. Figueroa with:
Wilson S. Figueroa United States
R. H. Rahe United States
Alex Woody United States
María Ángeles García‐León Spain
Jaclyn S. Kirshenbaum United States
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Kerry L. Kinney United States
Summer Mengelkoch United States
Sara E. Field United States
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Citations per field
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Citations per year

Countries citing papers authored by Danielle A. Young

Since Specialization
Citations

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

Fields of papers citing papers by Danielle A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle A. Young. 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 Danielle A. Young. The network helps show where Danielle A. Young may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201540
2 198735
3 201735
4 202018
5 202018
6 202115
7 202112
8 202011
9 20239
10 20229
11 20199
12 20208
13 20167
14
Cytologic features of equine mammary fluids: normal and abnormal
19886
15 20136
16 20216
17 20235
18 20235
19 20165
20 20155

About Danielle A. Young

Danielle A. Young is a scholar working on Clinical Psychology, Behavioral Neuroscience, Cardiology and Cardiovascular Medicine, Social Psychology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 287 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (12 papers), Heart Rate Variability and Autonomic Control (8 papers), Eating Disorders and Behaviors (6 papers), Cardiac Health and Mental Health (6 papers), Obesity, Physical Activity, Diet (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Psychological Well-being and Life Satisfaction (3 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Behavioral Neuroscience (76 citations), Clinical Psychology (134 citations), Applied Psychology (26 citations), Biological Psychiatry (10 citations) and Experimental and Cognitive Psychology (49 citations). Danielle A. Young has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Christine A. Limbers, Annie T. Ginty, H. William Strausś, J E Dimsdale, Sarah E. Williams, Alexander R. Lippert, Benjamin Oosterhoff, Ryan C. Brindle, William P. Bryant and Thomas Ritz. Their work appears in journals such as Biological Psychology, International Journal of Psychophysiology, Psychophysiology, Psychosomatic Medicine and Eating Disorders.

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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