Ryan S. Soderquist
Impact in
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- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
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- Cancer-related Molecular Pathways
Papers in
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- Cell death mechanisms and regulation 6
- Protein Degradation and Inhibitors 4
- RNA Interference and Gene Delivery 3
- Ubiquitin and proteasome pathways 3
- DNA Repair Mechanisms 2
- Oncology 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Alan Eastman (6 shared papers)Kevin M. Culligan (1 shared paper)Alexey V. Danilov (3 shared papers)Kris C. Wood (6 shared papers)Alexandre A. Pletnev (3 shared papers)Kevin Lin (4 shared papers)Darcy Bates (3 shared papers)Tina C. Albershardt (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Science Translational Medicine (2 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Cell Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Ryan S. Soderquist
15 papers receiving 649 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 503
- Oncology 194
- Hematology 60
- Cancer Research 77
- Genetics 53
Countries citing papers authored by Ryan S. Soderquist
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 104 | |
| 2 | 2018 | 90 | |
| 3 | 2011 | 85 | |
| 4 | 2019 | 69 | |
| 5 | 2013 | 68 | |
| 6 | 2016 | 42 | |
| 7 | 2014 | 39 | |
| 8 | 2015 | 31 | |
| 9 | 2022 | 29 | |
| 10 | 2013 | 27 | |
| 11 | 2023 | 23 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 13 | |
| 14 | 2011 | 9 | |
| 15 | 2011 | 4 |
About Ryan S. Soderquist
Ryan S. Soderquist is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Genetics, having authored 15 papers that have together received 652 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Protein Degradation and Inhibitors (4 papers), Cancer-related Molecular Pathways (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Interference and Gene Delivery (3 papers), Ubiquitin and proteasome pathways (3 papers), Phagocytosis and Immune Regulation (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (503 citations), Oncology (194 citations), Hematology (60 citations), Cancer Research (77 citations) and Genetics (53 citations). Ryan S. Soderquist has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Alan Eastman, Kevin M. Culligan, Alexey V. Danilov, Kris C. Wood, Alexandre A. Pletnev, Kevin Lin, Darcy Bates, Tina C. Albershardt, Merve Çakır and Grace R. Anderson. Their work appears in journals such as Molecular Cancer Therapeutics, Science Translational Medicine, Nature Communications, Journal of Biological Chemistry and Cell Metabolism.
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.