Cameron Pitt

620 citations
5 papers · 411 · h-index 5

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Advanced biosensing and bioanalysis techniques
    • Melanoma and MAPK Pathways
    • PI3K/AKT/mTOR signaling in cancer
    • Cellular transport and secretion

Papers in

    • Melanoma and MAPK Pathways 2
    • Advanced biosensing and bioanalysis techniques 1
    • Pluripotent Stem Cells Research 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • CRISPR and Genetic Engineering 1
    • Microtubule and mitosis dynamics 1

Cameron Pitt

5 papers receiving 409 citations

Peers

Cameron Pitt
Comparison fields: 5 of 59
  • Molecular Biology 352
  • Cell Biology 77
  • Cancer Research 49
  • Biophysics 18
  • Cellular and Molecular Neuroscience 45
Replace Devaraj Subramanian with:
Devaraj Subramanian Germany
Joel C. Rosenbaum United States
Deep Chatterjee Germany
Andrew D. Hauser United States
Ivan Yudushkin Austria
Nagisa Sakurai United States
Jonathan Woodsmith Germany
Shivani Tiwary Germany
Patricia Stege Germany
Jhon R. Enterina Canada
Cameron Pitt relative to Devaraj Subramanian Germany Devaraj Subramanian's profile →
Citations per field
00.5×1.5×1.8×
Devaraj Subramanian · 1×
Citations per year

Countries citing papers authored by Cameron Pitt

Since Specialization
Citations

This map shows the geographic impact of Cameron Pitt'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 Cameron Pitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Pitt more than expected).

Fields of papers citing papers by Cameron Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron Pitt. 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 Cameron Pitt. The network helps show where Cameron Pitt may publish in the future.

Co-authors

The 23 scholars most cited alongside Cameron Pitt, 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 Cameron Pitt Line = papers co-authored together Cameron Pitt links everyone, so they are left out of the graph.

All Works

About Cameron Pitt

Cameron Pitt is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Hepatology and Cancer Research, having authored 5 papers that have together received 411 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (2 papers), Microtubule and mitosis dynamics (1 paper), MicroRNA in disease regulation (1 paper), Photochromic and Fluorescence Chemistry (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Pluripotent Stem Cells Research (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (352 citations), Cell Biology (77 citations), Cancer Research (49 citations), Biophysics (18 citations) and Cellular and Molecular Neuroscience (45 citations). Cameron Pitt has collaborated with scholars based in United States and Japan. Frequent co-authors include Jacqueline Galeas, Frank McCormick, Ilya Shestopalov, James Chen, Joe W. Gray, Xiaolin Nan, Steven Chu, Tanja Tamgüney, Li-Jung Lin and Eric A. Collisson. Their work appears in journals such as Journal of the American Chemical Society, Nature Chemical Biology, Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

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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