Adam Schayowitz
Impact in
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- Prostate Cancer Treatment and Research
- Advanced Breast Cancer Therapies
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
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- Ubiquitin and proteasome pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Melanoma and MAPK Pathways 1
- Genetics 5
- Estrogen and related hormone effects 5
- Co-authors
- Angela Brodie (6 shared papers)Gauri Sabnis (7 shared papers)Vincent C.O. Njar (3 shared papers)Luciana F. Macedo (3 shared papers)Olga Goloubeva (2 shared papers)Olga Goloubeva (3 shared papers)Aashvini Belosay (2 shared papers)Hong‐Bin Fang (1 shared paper)
- Journals
- Cancer Research (3 papers)Molecular Cancer Therapeutics (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)Clinical Cancer Research (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United States
In The Last Decade
Adam Schayowitz
10 papers receiving 394 citations
Peers
Comparison fields: 5 of 41
- Pulmonary and Respiratory Medicine 191
- Genetics 166
- Cancer Research 80
- Endocrinology, Diabetes and Metabolism 83
- Oncology 116
Countries citing papers authored by Adam Schayowitz
This map shows the geographic impact of Adam Schayowitz'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 Adam Schayowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Schayowitz more than expected).
Fields of papers citing papers by Adam Schayowitz
This network shows the impact of papers produced by Adam Schayowitz. 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 Adam Schayowitz. The network helps show where Adam Schayowitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Schayowitz, 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 | 2008 | 111 | |
| 2 | 2009 | 85 | |
| 3 | 2008 | 48 | |
| 4 | 2007 | 45 | |
| 5 | 2008 | 44 | |
| 6 | 2010 | 26 | |
| 7 | 2015 | 19 | |
| 8 | 2012 | 7 | |
| 9 | 2007 | 6 | |
| 10 | Mammalian target of rapamycin (mTOR) as a target in human breast cancer cells that have acquired resistance to aromatase inhibitor letrozole | 2006 | 4 |
About Adam Schayowitz
Adam Schayowitz is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 10 papers that have together received 395 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Prostate Cancer Treatment and Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Ubiquitin and proteasome pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (191 citations), Genetics (166 citations), Cancer Research (80 citations), Endocrinology, Diabetes and Metabolism (83 citations) and Oncology (116 citations). Adam Schayowitz has collaborated with scholars based in United States. Frequent co-authors include Angela Brodie, Gauri Sabnis, Vincent C.O. Njar, Luciana F. Macedo, Olga Goloubeva, Olga Goloubeva, Aashvini Belosay, Hong‐Bin Fang, Pankaj Chopra and Lalji K. Gediya. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, The Journal of Steroid Biochemistry and Molecular Biology, Clinical Cancer Research and British Journal of Cancer.
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.