Dana T. Yip

921 citations
8 papers · 766 · h-index 8

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cutaneous Melanoma Detection and Management
    • Melanoma and MAPK Pathways
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation

Papers in

Dana T. Yip

8 papers receiving 753 citations

Peers

Dana T. Yip
Comparison fields: 5 of 82
  • Oncology 261
  • Molecular Biology 486
  • Endocrinology, Diabetes and Metabolism 94
  • Cancer Research 76
  • Cell Biology 84
Replace Philip E. Ryan with:
Philip E. Ryan United States
Eric Daniel Slosberg United States
Martina Landschoof Skrede Norway
Dany Rouillard France
Jeffrey Chen United States
Beverly S. Adler United States
Stacy A. Blaine United States
LaTonia D Taliaferro-Smith United States
Carmen G. Lechuga Spain
Naohiro Ariga Japan
Dana T. Yip relative to Philip E. Ryan United States Philip E. Ryan's profile →
Citations per field
00.5×1.5×2×2.5×
Philip E. Ryan · 1×
Citations per year

Countries citing papers authored by Dana T. Yip

Since Specialization
Citations

This map shows the geographic impact of Dana T. Yip'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 Dana T. Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana T. Yip more than expected).

Fields of papers citing papers by Dana T. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana T. Yip. 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 Dana T. Yip. The network helps show where Dana T. Yip may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2012252
2 2007248
3 200990
4 201163
5 201049
6 201233
7 201021
8 201010

About Dana T. Yip

Dana T. Yip is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice, Oncology, Cell Biology and Molecular Biology, having authored 8 papers that have together received 766 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper), Adrenal and Paraganglionic Tumors (1 paper), Innovations in Medical Education (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (261 citations), Molecular Biology (486 citations), Endocrinology, Diabetes and Metabolism (94 citations), Cancer Research (76 citations) and Cell Biology (84 citations). Dana T. Yip has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include James Steven Goydos, Pablo Lopez‐Bergami, Conway C. Huang, Stuart A. Aaronson, Ze’ev A. Ronai, Alka M. Mahale, Menashe Bar‐Eli, Alexey M. Eroshkin, Keiran S.M. Smalley and Meenhard Herlyn. Their work appears in journals such as Surgery, Journal of surgical education, Pigment Cell & Melanoma Research, Pediatric Blood & Cancer and Cancer Cell.

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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