Matthew J. Kennedy
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 0.5%
- Cell Biology top 2%
- Plant Science top 5%
- Surgery top 5%
- Co-authors
- Michael EhlersChandra L. TuckerJoel SchwartzRobert M. HughesMario LamontagnePaul E. BeauléJames B. HurleyDaniel Chen
- Topics
- Neuroscience and Neuropharmacology Research (24 papers)Photoreceptor and optogenetics research (20 papers)Lipid Membrane Structure and Behavior (13 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew J. Kennedy
64 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 2.5k
- Cellular and Molecular Neuroscience 2.3k
- Cell Biology 744
- Plant Science 638
- Surgery 556
Countries citing papers authored by Matthew J. Kennedy
This map shows the geographic impact of Matthew J. Kennedy'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 J. Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Kennedy more than expected).
Fields of papers citing papers by Matthew J. Kennedy
This network shows the impact of papers produced by Matthew J. Kennedy. 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 J. Kennedy. The network helps show where Matthew J. Kennedy may publish in the future.
Co-authorship network of co-authors of Matthew J. Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Kennedy. A scholar is included among the top collaborators of Matthew J. Kennedy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Kennedy. Matthew J. Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 27 | |
| 11 | 13 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 17 | |
| 15 | 40 | |
| 16 | 15 | |
| 17 | Rapid blue-light–mediated induction of protein interactions in living cellsbreakdown → | 878 |
| 18 | Threshold Mechanism of Arrestin Activation: Two Rhodopsin–Attached Phosphates Are Necessary and Sufficient for High–Affinity Arrestin Binding | 1 |
| 19 | 80 | |
| 20 | 125 |
About Matthew J. Kennedy
Matthew J. Kennedy is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Structural Biology, having authored 65 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Photoreceptor and optogenetics research (20 papers) and Lipid Membrane Structure and Behavior (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Cell Biology (744 citations) and Molecular Biology (2.5k citations). Matthew J. Kennedy has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael Ehlers, Chandra L. Tucker, Joel Schwartz, Robert M. Hughes, Mario Lamontagne, Paul E. Beaulé, James B. Hurley, Daniel Chen, Emily S. Gibson and C. Andrew Frank. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.
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.