Kevin Becker
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 17
- Glioma Diagnosis and Treatment 15
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- Lipid Membrane Structure and Behavior 4
- Sphingolipid Metabolism and Signaling 4
- Receptor Mechanisms and Signaling 3
- Co-authors
- Yusuf A. Hannun (8 shared papers)Lina M. Obeid (3 shared papers)Korey R. Johnson (2 shared papers)María M. Facchinetti (1 shared paper)Jacek Bielawski (3 shared papers)James B. Yu (3 shared papers)Cungui Mao (2 shared papers)Kristy Y. Johnson (1 shared paper)
- Journals
- Journal of Biological Chemistry (8 papers)Neuro-Oncology (4 papers)Journal of Clinical Oncology (3 papers)Acta Neurochirurgica (2 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Kevin Becker
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Cell Biology 357
- Genetics 225
- Molecular Biology 825
- Physiology 36
- Biochemistry 46
Countries citing papers authored by Kevin Becker
This map shows the geographic impact of Kevin Becker'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 Kevin Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Becker more than expected).
Fields of papers citing papers by Kevin Becker
This network shows the impact of papers produced by Kevin Becker. 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 Kevin Becker. The network helps show where Kevin Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 258 | |
| 2 | 2003 | 141 | |
| 3 | 2018 | 112 | |
| 4 | 2005 | 71 | |
| 5 | 2000 | 70 | |
| 6 | 2003 | 66 | |
| 7 | 2012 | 61 | |
| 8 | 2004 | 56 | |
| 9 | 2003 | 53 | |
| 10 | 2016 | 52 | |
| 11 | 2006 | 47 | |
| 12 | 2019 | 41 | |
| 13 | 2004 | 28 | |
| 14 | 2018 | 20 | |
| 15 | 1999 | 19 | |
| 16 | 1998 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2019 | 6 |
About Kevin Becker
Kevin Becker is a scholar working on Genetics, Molecular Biology, Cell Biology, Epidemiology and Neurology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Cellular transport and secretion (6 papers), Brain Metastases and Treatment (5 papers), Lipid Membrane Structure and Behavior (4 papers), Meningioma and schwannoma management (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cell Biology (357 citations), Genetics (225 citations), Molecular Biology (825 citations), Physiology (36 citations) and Biochemistry (46 citations). Kevin Becker has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Yusuf A. Hannun, Lina M. Obeid, Korey R. Johnson, María M. Facchinetti, Jacek Bielawski, James B. Yu, Cungui Mao, Kristy Y. Johnson, Kazuyuki Kitatani and Jolanta Idkowiak‐Baldys. Their work appears in journals such as Journal of Biological Chemistry, Neuro-Oncology, Journal of Clinical Oncology, Acta Neurochirurgica and Journal of Neuro-Oncology.
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.