Beth Apsel
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
- Protein Kinase Regulation and GTPase Signaling
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- Computational Drug Discovery Methods
Papers in
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- Rheumatoid Arthritis Research and Therapies 2
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- Inflammatory mediators and NSAID effects 2
- Co-authors
- Kevan M. Shokat (3 shared papers)Zachary A. Knight (3 shared papers)Robbie Loewith (1 shared paper)Davide Ruggero (1 shared paper)Morris E. Feldman (1 shared paper)Randy Hoffman (1 shared paper)Tamim M. Nazif (1 shared paper)Beatriz González (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)Cancer Cell (1 paper)Nature Chemical Biology (1 paper)Tetrahedron Letters (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Beth Apsel
7 papers receiving 1.6k citations
Beth Apsel's Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 912
- Computational Theory and Mathematics 141
- Aging 11
- Epidemiology 170
- Rheumatology 52
Countries citing papers authored by Beth Apsel
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Active-Site Inhibitors of mTOR Target Rapamycin-Resistant Outputs of mTORC1 and mTORC2 Hit paper breakdown → | 2009 | 947 |
| 2 | 2008 | 374 | |
| 3 | 2006 | 96 | |
| 4 | 2008 | 87 | |
| 5 | 2003 | 72 | |
| 6 | 2003 | 39 | |
| 7 | 2004 | 16 |
About Beth Apsel
Beth Apsel is a scholar working on Rheumatology, Pharmacology, Molecular Biology, Computational Theory and Mathematics and Epidemiology, 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), Inflammatory mediators and NSAID effects (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Carbohydrate Chemistry and Synthesis (1 paper), Trypanosoma species research and implications (1 paper), Computational Drug Discovery Methods (1 paper) and Organic Chemistry Synthesis Methods (1 paper). The work is most often cited by research in Molecular Biology (912 citations), Computational Theory and Mathematics (141 citations), Aging (11 citations), Epidemiology (170 citations) and Rheumatology (52 citations). Beth Apsel has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Kevan M. Shokat, Zachary A. Knight, Robbie Loewith, Davide Ruggero, Morris E. Feldman, Randy Hoffman, Tamim M. Nazif, Beatriz González, Jimmy A. Blair and Benjamin T. Houseman. Their work appears in journals such as The Journal of Immunology, Cancer Cell, Nature Chemical Biology, Tetrahedron Letters and PLoS 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.