Danae M. Sharp

1.2k citations
10 papers · 999 · h-index 8

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Metal complexes synthesis and properties
    • Amino Acid Enzymes and Metabolism

Papers in

    • Drug Transport and Resistance Mechanisms 2
    • CAR-T cell therapy research 1
    • Cancer-related Molecular Pathways 1
    • Melanoma and MAPK Pathways 3
    • Extracellular vesicles in disease 2
    • RNA Interference and Gene Delivery 2
    • RNA regulation and disease 1

Danae M. Sharp

10 papers receiving 989 citations

Peers

Danae M. Sharp
Comparison fields: 5 of 79
  • Oncology 358
  • Biochemistry 88
  • Cancer Research 166
  • Physiology 49
  • Molecular Biology 538
Replace Ján Gurský with:
Ján Gurský Czechia
Dušana Majera Czechia
Nicole A. Seebacher Australia
Ivo Vrobel Czechia
F. Zunino Italy
Dean C. Singleton New Zealand
Stefan Gradl United States
Dorian M. Cheff United States
Michal Stark Israel
Danae M. Sharp relative to Ján Gurský Czechia Ján Gurský's profile →
Citations per field
00.5×2×4×6×8.2×
Ján Gurský · 1×
Citations per year

Countries citing papers authored by Danae M. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Danae M. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danae M. Sharp. 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 Danae M. Sharp. The network helps show where Danae M. Sharp may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014189
2 2012187
3 2013183
4 2012122
5 2015122
6 201888
7 201652
8 201745
9 20208
10 20163

About Danae M. Sharp

Danae M. Sharp is a scholar working on Oncology, Molecular Biology, Immunology and Allergy, Biochemistry and Genetics, having authored 10 papers that have together received 999 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (3 papers), Extracellular vesicles in disease (2 papers), Drug Transport and Resistance Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Cell Adhesion Molecules Research (1 paper), CAR-T cell therapy research (1 paper), Cancer-related Molecular Pathways (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Oncology (358 citations), Biochemistry (88 citations), Cancer Research (166 citations), Physiology (49 citations) and Molecular Biology (538 citations). Danae M. Sharp has collaborated with scholars based in Australia, United Kingdom and Austria. Frequent co-authors include Des Raymond Richardson, Patric J. Jansson, Sumit Sahni, Tetsuo Yamagishi, Akanksha Arvind, Nicole A. Seebacher, David B. Lovejoy, Danuta S. Kalinowski, Peyman Obeidy and Nikolas K. Haass. Their work appears in journals such as International Journal of Cancer, Journal of Investigative Dermatology, Journal of Biological Chemistry, Journal of Medicinal Chemistry and Molecular Pharmacology.

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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