Matthew T. Eddy
- Molecular Biology top 10%
- Spectroscopy top 1%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Robert G. GriffinKurt WüthrichRaymond C. StevensLoren B. AndreasKenneth A. JacobsonZhan‐Guo GaoJudith HerzfeldTatiana Didenko
- Topics
- Receptor Mechanisms and Signaling (24 papers)Advanced NMR Techniques and Applications (22 papers)Protein Structure and Dynamics (16 papers)
- Cited by
- SpectroscopyPhysiologyBiophysics
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceSweden
In The Last Decade
Matthew T. Eddy
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.2k
- Spectroscopy 857
- Cellular and Molecular Neuroscience 383
- Materials Chemistry 373
- Radiology, Nuclear Medicine and Imaging 356
Countries citing papers authored by Matthew T. Eddy
This map shows the geographic impact of Matthew T. Eddy'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 T. Eddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Eddy more than expected).
Fields of papers citing papers by Matthew T. Eddy
This network shows the impact of papers produced by Matthew T. Eddy. 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 T. Eddy. The network helps show where Matthew T. Eddy may publish in the future.
Co-authorship network of co-authors of Matthew T. Eddy
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Eddy. A scholar is included among the top collaborators of Matthew T. Eddy 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 T. Eddy. Matthew T. Eddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 62 | |
| 13 | 15 | |
| 14 | 124 | |
| 15 | 34 | |
| 16 | 21 | |
| 17 | 16 | |
| 18 | Magic Angle Spinning NMR Investigation of Influenza A M2(18-60): Support for an Allosteric Mechanism of Inhibition | 0 |
| 19 | 31 | |
| 20 | 12 |
About Matthew T. Eddy
Matthew T. Eddy is a scholar working on Physiology, Spectroscopy and Biophysics, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (24 papers), Advanced NMR Techniques and Applications (22 papers) and Protein Structure and Dynamics (16 papers). The work is most often cited by research in Spectroscopy (857 citations), Physiology (181 citations) and Biophysics (197 citations). Matthew T. Eddy has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Robert G. Griffin, Kurt Wüthrich, Raymond C. Stevens, Loren B. Andreas, Kenneth A. Jacobson, Zhan‐Guo Gao, Judith Herzfeld, Tatiana Didenko, Ichio Shimada and Yutaka Kofuku. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.