M.J. Mate
Impact in
- Biotechnology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Cell death mechanisms and regulation
Papers in
-
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 3
-
- Enzyme-mediated dye degradation 6
- Polysaccharides and Plant Cell Walls 2
- Co-authors
- Colin Kleanthous (4 shared papers)Ignacio Fita (7 shared papers)Pedro M. Alzari (4 shared papers)Antonio Romero (5 shared papers)M. Ortiz-Lombardı́a (5 shared papers)Francisco J. Ruiz‐Dueñas (3 shared papers)Ángel T. Martı́nez (3 shared papers)M. P. Morales (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Molecular Biology (3 papers)Nucleic Acids Research (3 papers)Protein Science (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- FranceSpainUnited Kingdom
In The Last Decade
M.J. Mate
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Biotechnology 131
- Molecular Biology 815
- Endocrinology 60
- Molecular Medicine 50
- Plant Science 330
Countries citing papers authored by M.J. Mate
This map shows the geographic impact of M.J. Mate'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 M.J. Mate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Mate more than expected).
Fields of papers citing papers by M.J. Mate
This network shows the impact of papers produced by M.J. Mate. 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 M.J. Mate. The network helps show where M.J. Mate may publish in the future.
Co-authors
The 25 scholars most cited alongside M.J. Mate, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 149 | |
| 2 | 1999 | 107 | |
| 3 | 2012 | 73 | |
| 4 | 2016 | 69 | |
| 5 | 2006 | 66 | |
| 6 | 2008 | 65 | |
| 7 | 2004 | 62 | |
| 8 | 2016 | 59 | |
| 9 | 1999 | 57 | |
| 10 | 2017 | 55 | |
| 11 | 2007 | 55 | |
| 12 | 2009 | 54 | |
| 13 | 2019 | 53 | |
| 14 | 2010 | 51 | |
| 15 | 2001 | 49 | |
| 16 | 2011 | 47 | |
| 17 | 2009 | 45 | |
| 18 | 1996 | 43 | |
| 19 | 2008 | 39 | |
| 20 | 1999 | 33 |
About M.J. Mate
M.J. Mate is a scholar working on Molecular Biology, Plant Science, Genetics, Inorganic Chemistry and Biotechnology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (6 papers), Metal-Catalyzed Oxygenation Mechanisms (5 papers), Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers), Bacteriophages and microbial interactions (3 papers) and Polysaccharides and Plant Cell Walls (2 papers). The work is most often cited by research in Biotechnology (131 citations), Molecular Biology (815 citations), Endocrinology (60 citations), Molecular Medicine (50 citations) and Plant Science (330 citations). M.J. Mate has collaborated with scholars based in France, Spain and United Kingdom. Frequent co-authors include Colin Kleanthous, Ignacio Fita, Pedro M. Alzari, Antonio Romero, M. Ortiz-Lombardı́a, Francisco J. Ruiz‐Dueñas, Ángel T. Martı́nez, M. P. Morales, Marı́a Jesús Martı́nez and Jerónimo Bravo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Nucleic Acids Research, Protein Science and Proteins Structure Function and Bioinformatics.
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.