Robert Kassees
Impact in
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- Cancer-related Molecular Pathways
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- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Glycosylation and Glycoproteins Research 1
- Melanoma and MAPK Pathways 1
- Protein Kinase Regulation and GTPase Signaling 1
- Genetics 1
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- Deepak Sampath (5 shared papers)Yue Peng (1 shared paper)Jiping Zha (1 shared paper)Lisa D. Belmont (2 shared papers)Leanne Berry (1 shared paper)Wayne J. Fairbrother (1 shared paper)Nguyen Tan (2 shared papers)Marcia Belvin (3 shared papers)
- Journals
- Cancer Research (2 papers)Drug Metabolism and Disposition (1 paper)Clinical Cancer Research (1 paper)Science Translational Medicine (1 paper)European Journal of Cancer Supplements (1 paper)
- Partner nations
- United States
In The Last Decade
Robert Kassees
6 papers receiving 161 citations
Peers
Comparison fields: 5 of 44
- Oncology 66
- Molecular Biology 126
- Cell Biology 25
- Toxicology 4
- Pathology and Forensic Medicine 19
Countries citing papers authored by Robert Kassees
This map shows the geographic impact of Robert Kassees'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 Robert Kassees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kassees more than expected).
Fields of papers citing papers by Robert Kassees
This network shows the impact of papers produced by Robert Kassees. 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 Robert Kassees. The network helps show where Robert Kassees may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Kassees, 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 | 2011 | 89 | |
| 2 | 2010 | 49 | |
| 3 | 2012 | 30 | |
| 4 | 2008 | 3 | |
| 5 | 2012 | 2 | |
| 6 | 2011 | 1 |
About Robert Kassees
Robert Kassees is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Computational Theory and Mathematics, having authored 6 papers that have together received 174 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Lymphocytic Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Computational Drug Discovery Methods (1 paper), Lung Cancer Treatments and Mutations (1 paper), Melanoma and MAPK Pathways (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Oncology (66 citations), Molecular Biology (126 citations), Cell Biology (25 citations), Toxicology (4 citations) and Pathology and Forensic Medicine (19 citations). Robert Kassees has collaborated with scholars based in United States. Frequent co-authors include Deepak Sampath, Yue Peng, Jiping Zha, Lisa D. Belmont, Leanne Berry, Wayne J. Fairbrother, Nguyen Tan, Marcia Belvin, Wei Wei Prior and Lori S. Friedman. Their work appears in journals such as Cancer Research, Drug Metabolism and Disposition, Clinical Cancer Research, Science Translational Medicine and European Journal of Cancer Supplements.
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.