Matthew G.K. Benesch
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 6
- Physiology top 5%
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling 33
- Lipid Membrane Structure and Behavior 15
- Protein Interaction Studies and Fluorescence Analysis 6
- Inflammasome and immune disorders 4
- Protein Structure and Dynamics 3
- Cancer Research top 10%
- Biochemistry top 10%
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- Autophagy in Disease and Therapy 8
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- Genetic factors in colorectal cancer 6
- Co-authors
- David N. BrindleyXiaoyun TangTodd McMullenRonald N. McElhaneyJonathan M. CurtisJay DewaldRuthven N.A.H. LewisYuan Zhao
- Journals
- Cancers (11 papers)Chemistry and Physics of Lipids (8 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (5 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Matthew G.K. Benesch
61 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Cell Biology 374
- Physiology 77
- Molecular Biology 1.2k
- Cancer Research 161
- Biochemistry 63
Countries citing papers authored by Matthew G.K. Benesch
This map shows the geographic impact of Matthew G.K. Benesch'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 Matthew G.K. Benesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G.K. Benesch more than expected).
Fields of papers citing papers by Matthew G.K. Benesch
This network shows the impact of papers produced by Matthew G.K. Benesch. 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 Matthew G.K. Benesch. The network helps show where Matthew G.K. Benesch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew G.K. Benesch, 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 | 2024 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 68 | |
| 13 | 2020 | 36 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 42 | |
| 18 | 2018 | 58 | |
| 19 | 2016 | 17 | |
| 20 | 2013 | 18 |
About Matthew G.K. Benesch
Matthew G.K. Benesch is a scholar working on Toxicology, Molecular Biology and Cell Biology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (33 papers), Lipid Membrane Structure and Behavior (15 papers), Autophagy in Disease and Therapy (8 papers), Protein Interaction Studies and Fluorescence Analysis (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Genetic factors in colorectal cancer (6 papers), Inflammasome and immune disorders (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Cell Biology (374 citations), Physiology (77 citations) and Molecular Biology (1.2k citations). Matthew G.K. Benesch has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include David N. Brindley, Xiaoyun Tang, Todd McMullen, Ronald N. McElhaney, Jonathan M. Curtis, Jay Dewald, Ruthven N.A.H. Lewis, Yuan Zhao, David A. Mannock and Ganesh Venkatraman. Their work appears in journals such as Cancers, Chemistry and Physics of Lipids, Biochimica et Biophysica Acta (BBA) - Biomembranes, The FASEB Journal and Clinical and investigative medicine.
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.