Rafael García‐Mata
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions 22
- Cellular transport and secretion 19
- Microtubule and mitosis dynamics 9
- Hippo pathway signaling and YAP/TAZ 7
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research 12
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 22
- Wnt/β-catenin signaling in development and cancer 9
- Lipid Membrane Structure and Behavior 8
- Physiology top 2%
- Aging top 5%
- Co-authors
- Keith BurridgeElizabeth SztulChristophe GuilluyEtienne BoulterYa‐sheng GaoEric J. SorscherZsuzsa BebőkCecilia Álvarez
- Journals
- Journal of Biological Chemistry (3 papers)Nature Reviews Molecular Cell Biology (1 paper)The Journal of Cell Biology (5 papers)
- Partner nations
- United StatesArgentinaFrance
In The Last Decade
Rafael García‐Mata
68 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cell Biology 2.6k
- Immunology and Allergy 563
- Molecular Biology 3.3k
- Physiology 189
- Aging 54
Countries citing papers authored by Rafael García‐Mata
This map shows the geographic impact of Rafael García‐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 Rafael García‐Mata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael García‐Mata more than expected).
Fields of papers citing papers by Rafael García‐Mata
This network shows the impact of papers produced by Rafael García‐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 Rafael García‐Mata. The network helps show where Rafael García‐Mata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafael García‐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 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 9 | |
| 7 | 2019 | 20 | |
| 8 | 2017 | 41 | |
| 9 | 2017 | 15 | |
| 10 | 2013 | 101 | |
| 11 | 2012 | 62 | |
| 12 | 2011 | 39 | |
| 13 | 2011 | 60 | |
| 14 | 2011 | 293 | |
| 15 | 2007 | 177 | |
| 16 | 2006 | 163 | |
| 17 | 2003 | 66 | |
| 18 | 2003 | 113 | |
| 19 | 2000 | 6 | |
| 20 | 1997 | 6 |
About Rafael García‐Mata
Rafael García‐Mata is a scholar working on Cell Biology, Immunology and Allergy and Physiology, having authored 69 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (22 papers), Protein Kinase Regulation and GTPase Signaling (22 papers), Cellular transport and secretion (19 papers), Cell Adhesion Molecules Research (12 papers), Microtubule and mitosis dynamics (9 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Hippo pathway signaling and YAP/TAZ (7 papers). The work is most often cited by research in Cell Biology (2.6k citations), Immunology and Allergy (563 citations) and Molecular Biology (3.3k citations). Rafael García‐Mata has collaborated with scholars based in United States, Argentina and France. Frequent co-authors include Keith Burridge, Elizabeth Sztul, Christophe Guilluy, Etienne Boulter, Elizabeth Sztul, Ya‐sheng Gao, Eric J. Sorscher, Zsuzsa Bebők, Cecilia Álvarez and Richard Superfine. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and The Journal of Cell Biology.
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.