Samuel Sperry
Impact in
-
- Computational Drug Discovery Methods
-
- Heat shock proteins research
- ATP Synthase and ATPases Research
- Protein Structure and Dynamics
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
Papers in
-
- RNA modifications and cancer 3
- PI3K/AKT/mTOR signaling in cancer 2
- Biochemical and Molecular Research 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Justin T. Ernst (4 shared papers)Phillip W. Snyder (1 shared paper)Dean Stamos (1 shared paper)Khisal A. Alvi (1 shared paper)Beth A. Fleck (1 shared paper)Weichao Chen (1 shared paper)Azin Nezami (1 shared paper)Lance Goulet (1 shared paper)
- Journals
- Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Medicinal Chemistry (1 paper)Blood (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Samuel Sperry
6 papers receiving 85 citations
Peers
Comparison fields: 5 of 31
- Computational Theory and Mathematics 21
- Molecular Biology 76
- Immunology 14
- Physical and Theoretical Chemistry 5
- Genetics 5
Countries citing papers authored by Samuel Sperry
This map shows the geographic impact of Samuel Sperry'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 Samuel Sperry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Sperry more than expected).
Fields of papers citing papers by Samuel Sperry
This network shows the impact of papers produced by Samuel Sperry. 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 Samuel Sperry. The network helps show where Samuel Sperry may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Sperry, 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 | 2014 | 55 | |
| 2 | 2015 | 20 | |
| 3 | 2019 | 3 | |
| 4 | 2017 | 3 | |
| 5 | 2017 | 3 | |
| 6 | 2021 | 2 |
About Samuel Sperry
Samuel Sperry is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Pathology and Forensic Medicine and Rehabilitation, having authored 6 papers that have together received 86 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cancer-related molecular mechanisms research (1 paper), Biochemical and Molecular Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (21 citations), Molecular Biology (76 citations), Immunology (14 citations), Physical and Theoretical Chemistry (5 citations) and Genetics (5 citations). Samuel Sperry has collaborated with scholars based in United States. Frequent co-authors include Justin T. Ernst, Phillip W. Snyder, Dean Stamos, Khisal A. Alvi, Beth A. Fleck, Weichao Chen, Azin Nezami, Lance Goulet, James M. Reynolds and William J. Kargo. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Blood and Bioorganic & Medicinal Chemistry Letters.
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.