Shanna Yang

37 papers receiving 448 citations

Peers

Shanna Yang
Comparison fields: 5 of 75
  • Biological Psychiatry 20
  • Applied Psychology 25
  • Clinical Psychology 106
  • Physiology 92
  • Endocrinology, Diabetes and Metabolism 50
Replace M. Tryon with:
M. Tryon United States
Maria Mentzelou Greece
Olga Raz Israel
Laura J. Bierut United States
Alessia Scarinci Italy
James L. Dorling United States
Danny Wadden Canada
Jacalyn J. Robert-McComb United States
Joanna W. Kruimel Netherlands
Joseph C. Ratliff United States
Shanna Yang relative to M. Tryon United States M. Tryon's profile →
Citations per field
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M. Tryon · 1×
Citations per year

Countries citing papers authored by Shanna Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shanna Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 201941
3 202139
4 202034
5 202028
6 201923
7 202323
8 201922
9 201919
10 202418
11 202018
12 202114
13 201914
14 201914
15 202014
16 202111
17 20208
18 20258
19 20247
20 20227

About Shanna Yang

Shanna Yang is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health, Physiology, Nutrition and Dietetics and Molecular Biology, having authored 41 papers that have together received 452 indexed citations. Recurring topics across this work include Eating Disorders and Behaviors (11 papers), Diet and metabolism studies (7 papers), Obesity, Physical Activity, Diet (6 papers), Nutritional Studies and Diet (4 papers), Fatty Acid Research and Health (3 papers), Psychological Well-being and Life Satisfaction (2 papers), Behavioral Health and Interventions (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Biological Psychiatry (20 citations), Applied Psychology (25 citations), Clinical Psychology (106 citations), Physiology (92 citations) and Endocrinology, Diabetes and Metabolism (50 citations). Shanna Yang has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include Amber B. Courville, Marian Tanofsky‐Kraff, Jack A. Yanovski, Lisa M. Shank, Meghan E. Byrne, Sheila M. Brady, Sarah LeMay‐Russell, Nichole R. Kelly, Stephanie T. Chung and Alex Rubin. Their work appears in journals such as Nutrients, Appetite, Current Developments in Nutrition, Pediatric Obesity and International Journal of 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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