Tyler Levy

1.6k citations
8 papers · 124 · h-index 5

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Metabolomics and Mass Spectrometry Studies
    • Protein Degradation and Inhibitors

Papers in

Tyler Levy

7 papers receiving 121 citations

Peers

Tyler Levy
Comparison fields: 5 of 41
  • Spectroscopy 42
  • Molecular Biology 84
  • Oncology 18
  • Genetics 7
  • Cell Biology 10
Replace Meagan E. Olive with:
Meagan E. Olive United States
Sabrina Golling Switzerland
Mohamed Haji Germany
Valdemaras Petrosius Denmark
Christian Gnann Sweden
Niveda Sundararaman United States
Erika Deoudes United States
Charlotta Agaton Sweden
Ginny Xiaohe Li United States
Andrea Goya Grocin United Kingdom
Tyler Levy relative to Meagan E. Olive United States Meagan E. Olive's profile →
Citations per field
00.5×1.5×
Meagan E. Olive · 1×
Citations per year

Countries citing papers authored by Tyler Levy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tyler Levy Line = papers co-authored together Tyler Levy links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201843
2 201542
3 202223
4 20209
5 20244
6 20252
7 20131
8 20160

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 124 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper), Protein Degradation and Inhibitors (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Cancer, Lipids, and Metabolism (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Spectroscopy (42 citations), Molecular Biology (84 citations), Oncology (18 citations), Genetics (7 citations) and Cell Biology (10 citations). Tyler Levy has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Klarisa Rikova, Xiaoying Jia, Jeffrey C. Silva, Hongbo Gu, Matthew P. Stokes, Vicky K. Yang, Kimberly A. Lee, Jian Ren, Mark L. Grimes and Travis J. Wheeler. Their work appears in journals such as Nature Methods, iScience, Molecular Biology of the Cell, Molecular Cancer Therapeutics and Molecular & Cellular Proteomics.

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.

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