Casey Trimmer
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cell Biology top 10%
- Caveolin-1 and cellular processes
Papers in
-
- Kruppel-like factors research 2
- Metabolism, Diabetes, and Cancer 2
- Epigenetics and DNA Methylation 1
-
- Caveolin-1 and cellular processes 6
- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Michael P. Lisanti (8 shared papers)Federica Sotgia (8 shared papers)Richard G. Pestell (7 shared papers)Stephanos Pavlides (4 shared papers)Anthony Howell (4 shared papers)Ubaldo Martinez‐Outschoorn (4 shared papers)Neal Flomenberg (3 shared papers)Diana Whitaker‐Menezes (5 shared papers)
- Journals
- Cell Cycle (3 papers)Cancer Research (2 papers)Cancer Biology & Therapy (1 paper)American Journal Of Pathology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Casey Trimmer
8 papers receiving 904 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 449
- Cell Biology 200
- Molecular Biology 601
- Oncology 198
- Epidemiology 202
Countries citing papers authored by Casey Trimmer
This map shows the geographic impact of Casey Trimmer'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 Casey Trimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Trimmer more than expected).
Fields of papers citing papers by Casey Trimmer
This network shows the impact of papers produced by Casey Trimmer. 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 Casey Trimmer. The network helps show where Casey Trimmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Trimmer, 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 | 2010 | 352 | |
| 2 | 2011 | 233 | |
| 3 | 2010 | 131 | |
| 4 | 2011 | 95 | |
| 5 | 2010 | 53 | |
| 6 | 2012 | 25 | |
| 7 | 2012 | 19 | |
| 8 | Cav1 inhibits benign skin tumor development in a two-stage carcinogenesis model by suppressing epidermal proliferation. | 2013 | 6 |
About Casey Trimmer
Casey Trimmer is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Epidemiology and Immunology and Allergy, having authored 8 papers that have together received 914 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (6 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Kruppel-like factors research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cell Adhesion Molecules Research (2 papers), Autophagy in Disease and Therapy (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (449 citations), Cell Biology (200 citations), Molecular Biology (601 citations), Oncology (198 citations) and Epidemiology (202 citations). Casey Trimmer has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael P. Lisanti, Federica Sotgia, Richard G. Pestell, Stephanos Pavlides, Anthony Howell, Ubaldo Martinez‐Outschoorn, Neal Flomenberg, Diana Whitaker‐Menezes, Franco Capozza and Agnieszka K. Witkiewicz. Their work appears in journals such as Cell Cycle, Cancer Research, Cancer Biology & Therapy, American Journal Of Pathology and PubMed.
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.