Kyle E. Evans
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Cancer Genomics and Diagnostics 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Steven Rodriguez (3 shared papers)Mark W. Albers (3 shared papers)Bradley T. Hyman (3 shared papers)Peter Karl Sorger (2 shared papers)Sarah A. Boswell (2 shared papers)Artem Sokolov (2 shared papers)Clemens B. Hug (1 shared paper)Nathan T. Johnson (1 shared paper)
- Journals
- Nature Communications (2 papers)Science Translational Medicine (1 paper)Cell Reports (1 paper)Nature Genetics (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Kyle E. Evans
6 papers receiving 446 citations
Kyle E. Evans's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 8
- Computational Theory and Mathematics 85
- Biological Psychiatry 8
- Oncology 79
- Neurology 23
Countries citing papers authored by Kyle E. Evans
This map shows the geographic impact of Kyle E. Evans'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 Kyle E. Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle E. Evans more than expected).
Fields of papers citing papers by Kyle E. Evans
This network shows the impact of papers produced by Kyle E. Evans. 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 Kyle E. Evans. The network helps show where Kyle E. Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle E. Evans, 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 | Machine learning identifies candidates for drug repurposing in Alzheimer’s disease Hit paper breakdown → | 2021 | 220 |
| 2 | Mechanisms of Resistance to Oncogenic KRAS Inhibition in Pancreatic Cancer Hit paper breakdown → | 2024 | 152 |
| 3 | 2022 | 38 | |
| 4 | 2021 | 33 | |
| 5 | 2025 | 6 | |
| 6 | 2025 | 3 |
About Kyle E. Evans
Kyle E. Evans is a scholar working on Cancer Research, Computational Theory and Mathematics, Molecular Biology, Genetics and Neurology, having authored 6 papers that have together received 452 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), RNA regulation and disease (1 paper), Bioinformatics and Genomic Networks (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Health Informatics (8 citations), Computational Theory and Mathematics (85 citations), Biological Psychiatry (8 citations), Oncology (79 citations) and Neurology (23 citations). Kyle E. Evans has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Steven Rodriguez, Mark W. Albers, Bradley T. Hyman, Peter Karl Sorger, Sarah A. Boswell, Artem Sokolov, Clemens B. Hug, Nathan T. Johnson, George Zhou and Nienke Moret. Their work appears in journals such as Nature Communications, Science Translational Medicine, Cell Reports, Nature Genetics and Cancer Discovery.
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.