Bassem D. Khalil
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 6
- PI3K/AKT/mTOR signaling in cancer 5
- Wnt/β-catenin signaling in development and cancer 2
- Epigenetics and DNA Methylation 2
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- Microtubule and mitosis dynamics 5
- Cellular Mechanics and Interactions 4
- Co-authors
- Mirvat El‐Sibai (6 shared papers)Jonathan Backer (6 shared papers)Aliaksei Shymanets (5 shared papers)Bernd Nürnberg (5 shared papers)Anne R. Bresnick (5 shared papers)Hashem A. Dbouk (3 shared papers)John E. Burke (3 shared papers)Olga Perišić (2 shared papers)
- Journals
- Cancer Research (2 papers)Science Signaling (1 paper)Mycopathologia (1 paper)Proceedings of the National Academy of Sciences (1 paper)Oncology Reports (1 paper)
- Partner nations
- United StatesGermanyLebanon
In The Last Decade
Bassem D. Khalil
15 papers receiving 583 citations
Peers
Comparison fields: 5 of 70
- Cell Biology 130
- Genetics 72
- Molecular Biology 436
- Cancer Research 86
- Immunology and Allergy 32
Countries citing papers authored by Bassem D. Khalil
This map shows the geographic impact of Bassem D. Khalil'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 Bassem D. Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bassem D. Khalil more than expected).
Fields of papers citing papers by Bassem D. Khalil
This network shows the impact of papers produced by Bassem D. Khalil. 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 Bassem D. Khalil. The network helps show where Bassem D. Khalil may publish in the future.
Co-authors
The 25 scholars most cited alongside Bassem D. Khalil, 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 | 2012 | 120 | |
| 2 | 2013 | 106 | |
| 3 | 2021 | 61 | |
| 4 | 2016 | 45 | |
| 5 | 2013 | 44 | |
| 6 | 2014 | 38 | |
| 7 | 2012 | 35 | |
| 8 | 2013 | 32 | |
| 9 | 2022 | 20 | |
| 10 | 2012 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2019 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2021 | 6 |
About Bassem D. Khalil
Bassem D. Khalil is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Genetics, having authored 15 papers that have together received 585 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Microtubule and mitosis dynamics (5 papers), Cellular Mechanics and Interactions (4 papers), Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Cell Biology (130 citations), Genetics (72 citations), Molecular Biology (436 citations), Cancer Research (86 citations) and Immunology and Allergy (32 citations). Bassem D. Khalil has collaborated with scholars based in United States, Germany and Lebanon. Frequent co-authors include Mirvat El‐Sibai, Jonathan Backer, Aliaksei Shymanets, Bernd Nürnberg, Anne R. Bresnick, Hashem A. Dbouk, John E. Burke, Olga Perišić, Oscar Vadas and Christian Harteneck. Their work appears in journals such as Cancer Research, Science Signaling, Mycopathologia, Proceedings of the National Academy of Sciences 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.