M.J. Mate
Impact in
- Biotechnology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Cell death mechanisms and regulation
- Protein Structure and Dynamics
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 3
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- Enzyme-mediated dye degradation 6
- Co-authors
- Colin Kleanthous (3 shared papers)Ignacio Fita (7 shared papers)Pedro M. Alzari (4 shared papers)Antonio Romero (5 shared papers)M. Ortiz-Lombardı́a (5 shared papers)Jerónimo Bravo (5 shared papers)Francisco J. Ruiz‐Dueñas (3 shared papers)Marı́a Jesús Martı́nez (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Molecular Biology (3 papers)Nucleic Acids Research (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Protein Science (2 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
M.J. Mate
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Biotechnology 132
- Molecular Biology 798
- Endocrinology 57
- Molecular Medicine 49
- Plant Science 296
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 143 | |
| 2 | 1999 | 101 | |
| 3 | 2016 | 67 | |
| 4 | 2012 | 67 | |
| 5 | 2006 | 61 | |
| 6 | 2004 | 58 | |
| 7 | 2008 | 56 | |
| 8 | 1999 | 55 | |
| 9 | 2016 | 54 | |
| 10 | 2019 | 51 | |
| 11 | 2017 | 51 | |
| 12 | 2010 | 50 | |
| 13 | 2007 | 50 | |
| 14 | 2001 | 48 | |
| 15 | 2011 | 46 | |
| 16 | 2009 | 45 | |
| 17 | 1996 | 41 | |
| 18 | 2009 | 41 | |
| 19 | 2008 | 38 | |
| 20 | 1999 | 31 |
About M.J. Mate
M.J. Mate is a scholar working on Molecular Biology, Plant Science, Genetics, Inorganic Chemistry and Biotechnology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Enzyme-mediated dye degradation (6 papers), RNA and protein synthesis mechanisms (5 papers), Metal-Catalyzed Oxygenation Mechanisms (5 papers), Enzyme Structure and Function (4 papers), Bacteriophages and microbial interactions (3 papers), Protein Structure and Dynamics (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Biotechnology (132 citations), Molecular Biology (798 citations), Endocrinology (57 citations), Molecular Medicine (49 citations) and Plant Science (296 citations). M.J. Mate has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Colin Kleanthous, Ignacio Fita, Pedro M. Alzari, Antonio Romero, M. Ortiz-Lombardı́a, Jerónimo Bravo, Francisco J. Ruiz‐Dueñas, Marı́a Jesús Martı́nez, Ángel T. Martı́nez and M. P. Morales. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Nucleic Acids Research, Proteins Structure Function and Bioinformatics and Protein Science.
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.