Beth E. Drees

491 citations
9 papers · 433 · h-index 7

Impact in

    • Cell Adhesion Molecules Research
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics

Papers in

    • PI3K/AKT/mTOR signaling in cancer 6
    • Protein Kinase Regulation and GTPase Signaling 4
    • Protein Degradation and Inhibitors 1
    • Cellular Mechanics and Interactions 3
    • Cellular transport and secretion 2

Beth E. Drees

9 papers receiving 421 citations

Peers

Beth E. Drees
Comparison fields: 5 of 59
  • Immunology and Allergy 91
  • Cell Biology 236
  • Molecular Biology 260
  • Genetics 28
  • Biophysics 14
Replace Malika Boukhelifa with:
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Rob van der Kammen Netherlands
Maria Stumpf Germany
Daniel Arneman United States
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Désirée Spiering United States
Taiko Sukezane Japan
Sébastien Almagro France
Youngdong Yoo United States
Beth E. Drees relative to Malika Boukhelifa United States Malika Boukhelifa's profile →
Citations per field
00.5×2.8×
Malika Boukhelifa · 1×
Citations per year

Countries citing papers authored by Beth E. Drees

Since Specialization
Citations

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

Fields of papers citing papers by Beth E. Drees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth E. Drees. 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 Beth E. Drees. The network helps show where Beth E. Drees may publish in the future.

Co-authors

The 25 scholars most cited alongside Beth E. Drees, 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 Beth E. Drees Line = papers co-authored together Beth E. Drees links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2000145
2 1999102
3 200758
4 200336
5 200834
6 200433
7 200220
8 20014
9 20041

About Beth E. Drees

Beth E. Drees is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 433 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular Mechanics and Interactions (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cellular transport and secretion (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Protein Degradation and Inhibitors (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology and Allergy (91 citations), Cell Biology (236 citations), Molecular Biology (260 citations), Genetics (28 citations) and Biophysics (14 citations). Beth E. Drees has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Mary C. Beckerle, Daniel Louvard, Roy M. Golsteyn, Evelyne Friederich, Glenn D. Prestwich, Paul O. Neilsen, John S. Condeelis, Shu-Chin Yip, Jonathan Backer and Robert J. Eddy. Their work appears in journals such as Expert Opinion on Therapeutic Patents, The Journal of Cell Biology, Combinatorial Chemistry & High Throughput Screening, Biochemical Journal and Journal of Cell Science.

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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