Tyler Levy
Impact in
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Metabolomics and Mass Spectrometry Studies
- Advanced Biosensing Techniques and Applications
Papers in
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- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
- Bioinformatics and Genomic Networks 1
- Oncology 2
- Lung Cancer Research Studies 1
- Co-authors
- Klarisa Rikova (4 shared papers)Matthew P. Stokes (1 shared paper)Hongbo Gu (1 shared paper)Vicky K. Yang (1 shared paper)Kimberly A. Lee (1 shared paper)Jian Ren (3 shared papers)Jeffrey C. Silva (1 shared paper)Xiaoying Jia (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (1 paper)Science Signaling (1 paper)Molecular Cancer Therapeutics (1 paper)iScience (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Tyler Levy
7 papers receiving 134 citations
Peers
Comparison fields: 5 of 40
- Spectroscopy 42
- Molecular Biology 83
- Cell Biology 11
- Cancer Research 9
- Geriatrics and Gerontology 2
Countries citing papers authored by Tyler Levy
This map shows the geographic impact of Tyler Levy'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 Tyler Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Levy more than expected).
Fields of papers citing papers by Tyler Levy
This network shows the impact of papers produced by Tyler Levy. 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 Tyler Levy. The network helps show where Tyler Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Levy, 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 | 2015 | 45 | |
| 2 | 2018 | 44 | |
| 3 | 2022 | 27 | |
| 4 | 2024 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2025 | 2 | |
| 7 | 2013 | 1 | |
| 8 | 2016 | 0 |
About Tyler Levy
Tyler Levy is a scholar working on Molecular Biology, Oncology, Cell Biology, Spectroscopy and Cancer Research, having authored 8 papers that have together received 138 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Lung Cancer Research Studies (1 paper), Ferroptosis and cancer prognosis (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Protein Degradation and Inhibitors (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Spectroscopy (42 citations), Molecular Biology (83 citations), Cell Biology (11 citations), Cancer Research (9 citations) and Geriatrics and Gerontology (2 citations). Tyler Levy has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Klarisa Rikova, Matthew P. Stokes, Hongbo Gu, Vicky K. Yang, Kimberly A. Lee, Jian Ren, Jeffrey C. Silva, Xiaoying Jia, Mark L. Grimes and Peter Hornbeck. Their work appears in journals such as Molecular & Cellular Proteomics, Science Signaling, Molecular Cancer Therapeutics, iScience and Molecular Biology of the Cell.
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.