Robert Kassees
Impact in
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- Cancer-related Molecular Pathways
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- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- Protein Degradation and Inhibitors
Papers in
- Genetics 2
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
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- PI3K/AKT/mTOR signaling in cancer 4
- Protein Kinase Regulation and GTPase Signaling 2
- Metabolism, Diabetes, and Cancer 1
- Kruppel-like factors research 1
- Co-authors
- Deepak Sampath (3 shared papers)Yue Peng (1 shared paper)Leanne Berry (1 shared paper)Wayne J. Fairbrother (1 shared paper)Lisa D. Belmont (1 shared paper)Nguyen Tan (1 shared paper)Jiping Zha (1 shared paper)Marcia P. Belvin (3 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Science Translational Medicine (1 paper)Drug Metabolism and Disposition (1 paper)Molecular Cancer Therapeutics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Robert Kassees
7 papers receiving 636 citations
Peers
Comparison fields: 5 of 64
- Oncology 197
- Molecular Biology 471
- Cancer Research 86
- Genetics 61
- Pathology and Forensic Medicine 96
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 | 2013 | 259 | |
| 2 | 2011 | 207 | |
| 3 | 2011 | 96 | |
| 4 | 2010 | 55 | |
| 5 | 2012 | 31 | |
| 6 | 2012 | 30 | |
| 7 | 2008 | 3 |
About Robert Kassees
Robert Kassees is a scholar working on Genetics, Molecular Biology, Oncology, Cell Biology and Computational Theory and Mathematics, having authored 7 papers that have together received 681 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Microtubule and mitosis dynamics (1 paper), Lung Cancer Treatments and Mutations (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Computational Drug Discovery Methods (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Oncology (197 citations), Molecular Biology (471 citations), Cancer Research (86 citations), Genetics (61 citations) and Pathology and Forensic Medicine (96 citations). Robert Kassees has collaborated with scholars based in United States. Frequent co-authors include Deepak Sampath, Yue Peng, Leanne Berry, Wayne J. Fairbrother, Lisa D. Belmont, Nguyen Tan, Jiping Zha, Marcia P. Belvin, Jane Guan and Kyle A. Edgar. Their work appears in journals such as Clinical Cancer Research, Science Translational Medicine, Drug Metabolism and Disposition, Molecular Cancer Therapeutics and Bioorganic & Medicinal Chemistry Letters.
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.