Ryan S. Soderquist
Impact in
-
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- DNA Repair Mechanisms
-
- Cancer-related Molecular Pathways
Papers in
-
- Cell death mechanisms and regulation 6
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 3
- RNA Interference and Gene Delivery 3
- DNA Repair Mechanisms 2
- Oncology 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Alan Eastman (6 shared papers)Alexey V. Danilov (3 shared papers)Kevin M. Culligan (1 shared paper)Kris C. Wood (6 shared papers)Alexandre A. Pletnev (3 shared papers)Darcy Bates (3 shared papers)Kevin Lin (4 shared papers)Tina C. Albershardt (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Science Translational Medicine (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Ryan S. Soderquist
15 papers receiving 673 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 497
- Oncology 179
- Hematology 61
- Cancer Research 71
- Genetics 48
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 | 105 | |
| 2 | 2018 | 92 | |
| 3 | 2011 | 92 | |
| 4 | 2019 | 72 | |
| 5 | 2013 | 69 | |
| 6 | 2016 | 45 | |
| 7 | 2014 | 39 | |
| 8 | 2015 | 33 | |
| 9 | 2022 | 29 | |
| 10 | 2013 | 28 | |
| 11 | 2023 | 26 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 14 | |
| 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 678 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), Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Interference and Gene Delivery (3 papers), DNA Repair Mechanisms (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Molecular Biology (497 citations), Oncology (179 citations), Hematology (61 citations), Cancer Research (71 citations) and Genetics (48 citations). Ryan S. Soderquist has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Alan Eastman, Alexey V. Danilov, Kevin M. Culligan, Kris C. Wood, Alexandre A. Pletnev, Darcy Bates, Kevin Lin, Tina C. Albershardt, Grace R. Anderson and Alexei F. Kisselev. Their work appears in journals such as Molecular Cancer Therapeutics, Nature Communications, Journal of Biological Chemistry, Science Translational Medicine and Science Advances.
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.