Shany E. Yang

1.2k citations
9 papers · 482 · h-index 6

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Dietary Effects on Health
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

Shany E. Yang

8 papers receiving 477 citations

Peers

Shany E. Yang
Comparison fields: 5 of 76
  • Aging 116
  • Physiology 226
  • Endocrine and Autonomic Systems 54
  • Geriatrics and Gerontology 18
  • Biological Psychiatry 10
Replace Dawn S. Sherman with:
Dawn S. Sherman United States
Oge Arum United States
Azar Asadi Shahmirzadi United States
Yueh-Mei Hsu United States
Daniel Horrillo Spain
Dena Hernandez United States
Mariëtte E. C. Waaijer Netherlands
Asim Dey United States
Jyung Mean Son United States
Joslyn Mills United States
Shany E. Yang relative to Dawn S. Sherman United States Dawn S. Sherman's profile →
Citations per field
00.5×1.5×
Dawn S. Sherman · 1×
Citations per year

Countries citing papers authored by Shany E. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shany E. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2019143
2 2021115
3 201870
4 201969
5 202061
6 201918
7 20215
8 20231
9 20240

About Shany E. Yang

Shany E. Yang is a scholar working on Physiology, Molecular Biology, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Aging, having authored 9 papers that have together received 482 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers), RNA modifications and cancer (1 paper), Epigenetics and DNA Methylation (1 paper), Stress Responses and Cortisol (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Aging (116 citations), Physiology (226 citations), Endocrine and Autonomic Systems (54 citations), Geriatrics and Gerontology (18 citations) and Biological Psychiatry (10 citations). Shany E. Yang has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Dudley W. Lamming, Deyang Yu, Jacqueline A. Brinkman, Dawn S. Sherman, Jay L. Tomasiewicz, Blake R. Miller, Emma L. Baar, Nicole E. Cummings, John M. Denu and Spencer A. Haws. Their work appears in journals such as Psychoneuroendocrinology, Trends in Genetics, Nature Metabolism, Cell Reports and Scientific Reports.

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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