Juan Mata
Impact in
- Aging top 2%
- Cell Biology top 1%
- Microtubule and mitosis dynamics
Papers in
-
- Fungal and yeast genetics research 28
- RNA Research and Splicing 23
- RNA and protein synthesis mechanisms 20
- Genomics and Chromatin Dynamics 11
- RNA modifications and cancer 10
- DNA Repair Mechanisms 5
- Bioinformatics and Genomic Networks 4
-
- Microtubule and mitosis dynamics 4
- Co-authors
- Jürg BählerPaul NurseGavin BurnsRachel LyneCaia D. S. DuncanKatja KivinenAlvis BrāzmaSamuel Marguerat
- Journals
- Cell (3 papers)PLoS Genetics (3 papers)RNA Biology (2 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Juan Mata
49 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 127
- Cell Biology 1.1k
- Molecular Biology 4.3k
- Plant Science 688
- Cancer Research 178
Countries citing papers authored by Juan Mata
This map shows the geographic impact of Juan Mata'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 Juan Mata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Mata more than expected).
Fields of papers citing papers by Juan Mata
This network shows the impact of papers produced by Juan Mata. 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 Juan Mata. The network helps show where Juan Mata may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Mata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 47 | |
| 4 | 2018 | 44 | |
| 5 | 2017 | 3 | |
| 6 | 2017 | 39 | |
| 7 | 2015 | 10 | |
| 8 | 2014 | 64 | |
| 9 | 2014 | 54 | |
| 10 | 2013 | 43 | |
| 11 | 2010 | 57 | |
| 12 | 2008 | 25 | |
| 13 | 2008 | 18 | |
| 14 | 2007 | 167 | |
| 15 | 2005 | 110 | |
| 16 | 2005 | 42 | |
| 17 | 2005 | 214 | |
| 18 | 2003 | 28 | |
| 19 | 2000 | 302 | |
| 20 | 1998 | 56 |
About Juan Mata
Juan Mata is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Cardiology and Cardiovascular Medicine and Plant Science, having authored 49 papers that have together received 4.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (28 papers), RNA Research and Splicing (23 papers), RNA and protein synthesis mechanisms (20 papers), Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (10 papers), DNA Repair Mechanisms (5 papers), Microtubule and mitosis dynamics (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Aging (127 citations), Cell Biology (1.1k citations), Molecular Biology (4.3k citations), Plant Science (688 citations) and Cancer Research (178 citations). Juan Mata has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Jürg Bähler, Paul Nurse, Gavin Burns, Rachel Lyne, Caia D. S. Duncan, Katja Kivinen, Alvis Brāzma, Samuel Marguerat, Dongrong Chen and Anne Ephrussi. Their work appears in journals such as Cell, PLoS Genetics, RNA Biology, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.