Ryan S. Soderquist

1.0k citations
18 papers · 816 · h-index 15

Impact in

    • Cancer-related Molecular Pathways
    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • DNA Repair Mechanisms

Papers in

    • Chronic Lymphocytic Leukemia Research 4
    • Cell death mechanisms and regulation 7
    • RNA Interference and Gene Delivery 3
    • Protein Degradation and Inhibitors 3
    • CRISPR and Genetic Engineering 2

Ryan S. Soderquist

17 papers receiving 806 citations

Peers

Ryan S. Soderquist
Comparison fields: 5 of 80
  • Oncology 219
  • Molecular Biology 588
  • Genetics 69
  • Hematology 71
  • Cancer Research 76
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Citations per field
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Citations per year

Countries citing papers authored by Ryan S. Soderquist

Since Specialization
Citations

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

Fields of papers citing papers by Ryan S. Soderquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan S. Soderquist. 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 Ryan S. Soderquist. The network helps show where Ryan S. Soderquist may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2016110
2 2018102
3 201197
4 201981
5 201372
6 201768
7 201650
8 201439
9 201533
10 202231
11 202329
12 201328
13 201323
14 201921
15 201915
16 201110
17 20137
18 20260

About Ryan S. Soderquist

Ryan S. Soderquist is a scholar working on Genetics, Molecular Biology, Oncology, Immunology and Cell Biology, having authored 18 papers that have together received 816 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Cancer-related Molecular Pathways (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), RNA Interference and Gene Delivery (3 papers), Protein Degradation and Inhibitors (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), CRISPR and Genetic Engineering (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (219 citations), Molecular Biology (588 citations), Genetics (69 citations), Hematology (71 citations) and Cancer Research (76 citations). Ryan S. Soderquist has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Alan R. Eastman, Alexey Valeryevich Danilov, Darcy J. P. Bates, Kris C. Wood, Kevin M. Culligan, Alexandre A. Pletnev, Kevin Lin, Alexei F. Kisselev, Grace R. Anderson and Tina Chang Albershardt. Their work appears in journals such as Science Translational Medicine, Journal of Biological Chemistry, Molecular Cancer Therapeutics, Nature Communications and APOPTOSIS.

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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