Matthew J. Cliff
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Spectroscopy top 5%
- Cell Biology top 5%
- Organic Chemistry top 10%
- Co-authors
- John E. LadburyJonathan P. WalthoG. Michael BlackburnMatthew W. BowlerMark A. WilliamsDavid BarfordAnthony R. ClarkeNicola J. Baxter
- Topics
- Enzyme Structure and Function (29 papers)Protein Structure and Dynamics (17 papers)Amino Acid Enzymes and Metabolism (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Matthew J. Cliff
69 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.7k
- Materials Chemistry 615
- Spectroscopy 312
- Cell Biology 278
- Organic Chemistry 245
Countries citing papers authored by Matthew J. Cliff
This map shows the geographic impact of Matthew J. Cliff'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. Cliff 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. Cliff more than expected).
Fields of papers citing papers by Matthew J. Cliff
This network shows the impact of papers produced by Matthew J. Cliff. 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. Cliff. The network helps show where Matthew J. Cliff may publish in the future.
Co-authorship network of co-authors of Matthew J. Cliff
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Cliff. A scholar is included among the top collaborators of Matthew J. Cliff 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. Cliff. Matthew J. Cliff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 142 | |
| 10 | 26 | |
| 11 | 72 | |
| 12 | 28 | |
| 13 | 68 | |
| 14 | 35 | |
| 15 | 23 | |
| 16 | 23 | |
| 17 | 77 | |
| 18 | 9 | |
| 19 | Assessment of a Melt-Castable NTO/TNT Formulation | 1 |
| 20 | 4 |
About Matthew J. Cliff
Matthew J. Cliff is a scholar working on Biochemistry, Molecular Biology and Clinical Biochemistry, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (29 papers), Protein Structure and Dynamics (17 papers) and Amino Acid Enzymes and Metabolism (11 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Spectroscopy (312 citations) and Biochemistry (133 citations). Matthew J. Cliff has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include John E. Ladbury, Jonathan P. Waltho, G. Michael Blackburn, Matthew W. Bowler, Mark A. Williams, David Barford, Anthony R. Clarke, Nicola J. Baxter, Andrea M. Hounslow and Aldo Gutiérrez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.