Adam Schayowitz
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
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- Prostate Cancer Treatment and Research
- Advanced Breast Cancer Therapies
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 2
- Melanoma and MAPK Pathways 1
- Genetics 6
- Estrogen and related hormone effects 6
- 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)Aakanksha Khandelwal (1 shared paper)
- Journals
- Cancer Research (3 papers)Molecular Cancer Therapeutics (2 papers)British Journal of Cancer (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)Oncology Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Adam Schayowitz
10 papers receiving 393 citations
Peers
Comparison fields: 5 of 44
- Genetics 184
- Pulmonary and Respiratory Medicine 203
- Cancer Research 92
- Endocrinology, Diabetes and Metabolism 95
- Oncology 139
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 | 43 | |
| 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, Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 394 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Prostate Cancer Treatment and Research (3 papers), HER2/EGFR in Cancer Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Ubiquitin and proteasome pathways (2 papers), Computational Drug Discovery Methods (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Genetics (184 citations), Pulmonary and Respiratory Medicine (203 citations), Cancer Research (92 citations), Endocrinology, Diabetes and Metabolism (95 citations) and Oncology (139 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, Aakanksha Khandelwal, Zhiyong Guo and Hong‐Bin Fang. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, British Journal of Cancer, The Journal of Steroid Biochemistry and Molecular Biology and Oncology Reports.
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.