Beth Apsel

1.9k citations
7 papers · 1.6k · 1 hit paper · h-index 7

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Polyamine Metabolism and Applications
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Beth Apsel

7 papers receiving 1.6k citations

Beth Apsel's Hit Papers

Active-Site Inhibitors of mTOR Target Rapamycin-Resistant Outputs of mTORC1 and mTORC2 2009 · 930 citations
9300+5+11Years since publication250500750

Peers

Beth Apsel
Comparison fields: 5 of 88
  • Molecular Biology 1.1k
  • Genetics 124
  • Hematology 90
  • Physiology 37
  • Immunology 156
Replace Mari Nishino with:
Mari Nishino United States
James S. Hardwick United States
Marijane Russell United States
Eric G. Bremer United States
Steven Grant United States
X. Wei Meng United States
Jiuxiang Zhu United States
Martin Schröder Germany
Lang Ngo United States
Douglas C. Marchion United States
Beth Apsel relative to Mari Nishino United States Mari Nishino's profile →
Citations per field
00.5×1.5×
Mari Nishino · 1×
Citations per year

Countries citing papers authored by Beth Apsel

Since Specialization
Citations

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

Fields of papers citing papers by Beth Apsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Active-Site Inhibitors of mTOR Target Rapamycin-Resistant Outputs of mTORC1 and mTORC2
Hit paper breakdown →
2009930
2 2008363
3 200693
4 200881
5 200372
6 200339
7 200416

About Beth Apsel

Beth Apsel is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Genetics and Immunology, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), NF-κB Signaling Pathways (2 papers), Inflammatory mediators and NSAID effects (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Trypanosoma species research and implications (1 paper), Mast cells and histamine (1 paper), Peptidase Inhibition and Analysis (1 paper) and Advanced Breast Cancer Therapies (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (124 citations), Hematology (90 citations), Physiology (37 citations) and Immunology (156 citations). Beth Apsel has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kevan M. Shokat, Zachary A. Knight, Robbie Loewith, Davide Ruggero, Morris E. Feldman, Tamim Nazif, Beatriz González, Randy Hoffman, Roger Williams and Jimmy A. Blair. Their work appears in journals such as Cancer Cell, Tetrahedron Letters, British Journal of Pharmacology, The Journal of Immunology and Nature Chemical Biology.

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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