Dawn Yang

606 citations
14 papers · 486 · h-index 10

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 3
    • RNA and protein synthesis mechanisms 1
    • Pancreatic function and diabetes 5

Dawn Yang

14 papers receiving 477 citations

Peers

Dawn Yang
Comparison fields: 5 of 63
  • Biochemistry 51
  • Endocrinology, Diabetes and Metabolism 85
  • Pathology and Forensic Medicine 81
  • Molecular Biology 292
  • Cardiology and Cardiovascular Medicine 81
Replace Glen Young with:
Glen Young United States
K. Momomura Japan
JM Tavaré United Kingdom
Gonzalo L. Vilas Canada
Ian Fisher United States
Valeriu Cebotaru United States
Britt‐Marie Rynmark Sweden
Tomoyoshi Koyanagi Japan
Eva-Maria D. Nielsen Denmark
Johan Meuller Sweden
Dawn Yang relative to Glen Young United States Glen Young's profile →
Citations per field
00.5×4.3×
Glen Young · 1×
Citations per year

Countries citing papers authored by Dawn Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
TbetaR-I(6A) is a candidate tumor susceptibility allele.
1999129
2 200573
3 199759
4 199846
5 200336
6 200135
7 199632
8 200723
9 201416
10 201014
11 19977
12 20056
13 20235
14 19975

About Dawn Yang

Dawn Yang is a scholar working on Molecular Biology, Surgery, Biochemistry, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 486 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Lipid metabolism and biosynthesis (4 papers), Enzyme Catalysis and Immobilization (3 papers), Ophthalmology and Eye Disorders (2 papers), Diabetes Management and Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Child Abuse and Related Trauma (1 paper). The work is most often cited by research in Biochemistry (51 citations), Endocrinology, Diabetes and Metabolism (85 citations), Pathology and Forensic Medicine (81 citations), Molecular Biology (292 citations) and Cardiology and Cardiovascular Medicine (81 citations). Dawn Yang has collaborated with scholars based in United States and Canada. Frequent co-authors include James U. Bowie, Howard Wong, John S. Hill, J Nikazy, Richard C. Davis, Sarah Yohannan, Salem Faham, Gabriella L. Boulting, Michael C. Schotz and Kenneth Offit. Their work appears in journals such as Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Protein Science, Epilepsia and Proceedings of the National Academy of Sciences.

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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