Allison E. Drew

787 citations
11 papers · 640 · h-index 9

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 3
    • Cancer-related gene regulation 3
    • PI3K/AKT/mTOR signaling in cancer 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Chronic Lymphocytic Leukemia Research 1

Allison E. Drew

11 papers receiving 607 citations

Peers

Allison E. Drew
Comparison fields: 5 of 45
  • Molecular Biology 419
  • Cellular and Molecular Neuroscience 55
  • Reproductive Medicine 28
  • Pathology and Forensic Medicine 42
  • Physiology 39
Replace Bartosz Tarkowski with:
Bartosz Tarkowski Poland
Jake Ni United States
E Shuyu United States
Francesca Zonta Italy
Robert A. Tokhunts United States
Sungwon Bae South Korea
Abhay Anand Shukla United States
Shannon Duffy Australia
Jyotidarsini Mohanty United States
Mei Xu China
Allison E. Drew relative to Bartosz Tarkowski Poland Bartosz Tarkowski's profile →
Citations per field
00.5×2×3×4×4.6×
Bartosz Tarkowski · 1×
Citations per year

Countries citing papers authored by Allison E. Drew

Since Specialization
Citations

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

Fields of papers citing papers by Allison E. Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017149
2 2017112
3 2015110
4 200076
5 201761
6 201242
7 201534
8 200123
9 200323
10 20116
11 20114

About Allison E. Drew

Allison E. Drew is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 11 papers that have together received 640 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (3 papers), Cancer-related gene regulation (3 papers), Lung Cancer Treatments and Mutations (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Synthesis and biological activity (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Molecular Biology (419 citations), Cellular and Molecular Neuroscience (55 citations), Reproductive Medicine (28 citations), Pathology and Forensic Medicine (42 citations) and Physiology (39 citations). Allison E. Drew has collaborated with scholars based in United States. Frequent co-authors include Linda L. Werling, Robert A. Copeland, Scott A. Ribich, Jesse Joshua Smith, Richard Chesworth, Heike Keilhack, Elayne Chan-Penebre, Igor Feldman, Sarah K. Knutson and Maria R. Roche. Their work appears in journals such as Molecular Cancer Therapeutics, Blood, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and SLAS 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.

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