Deborah Moshinsky

521 citations
14 papers · 431 · h-index 11

Impact in

    • Cancer-related Molecular Pathways
    • Cytokine Signaling Pathways and Interactions
    • PARP inhibition in cancer therapy
    • DNA Repair Mechanisms
    • Cancer therapeutics and mechanisms
    • Melanoma and MAPK Pathways

Papers in

    • DNA Repair Mechanisms 3
    • Epigenetics and DNA Methylation 3
    • Cancer therapeutics and mechanisms 2
    • Angiogenesis and VEGF in Cancer 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Advanced biosensing and bioanalysis techniques 1
    • Cancer-related Molecular Pathways 3

Deborah Moshinsky

13 papers receiving 412 citations

Peers

Deborah Moshinsky
Comparison fields: 5 of 66
  • Oncology 166
  • Molecular Biology 270
  • Computational Theory and Mathematics 59
  • Genetics 32
  • Immunology 54
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Citations per field
00.5×9.5×
Alexander R. Chait · 1×
Citations per year

Countries citing papers authored by Deborah Moshinsky

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Moshinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200783
2 200363
3 200344
4 200841
5 200934
6 200332
7 200831
8 199226
9 199725
10 200325
11 200820
12 20006
13 20001
14 20260

About Deborah Moshinsky

Deborah Moshinsky is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Genetics, having authored 14 papers that have together received 431 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer therapeutics and mechanisms (2 papers), Angiogenesis and VEGF in Cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Oncology (166 citations), Molecular Biology (270 citations), Computational Theory and Mathematics (59 citations), Genetics (32 citations) and Immunology (54 citations). Deborah Moshinsky has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Gerald N. Wogan, Audie Rice, Gerald McMahon, Cho Tang, Anthony R. Howlett, Ismail Hassan Ismail, Hualin Simon Xi, Simone Sciabola, Ola Hammarsten and Daniel R. Caffrey. Their work appears in journals such as SLAS DISCOVERY, Environmental and Molecular Mutagenesis, Journal of Pharmacology and Experimental Therapeutics, Blood and Journal of Chemical Information and Modeling.

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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