Catarina Casais

2.0k total citations
8 papers, 1.6k citations indexed

About

Catarina Casais is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Catarina Casais has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Cell Biology. Recurrent topics in Catarina Casais's work include Plant-Microbe Interactions and Immunity (6 papers), Genetically Modified Organisms Research (2 papers) and Plant pathogens and resistance mechanisms (2 papers). Catarina Casais is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Genetically Modified Organisms Research (2 papers) and Plant pathogens and resistance mechanisms (2 papers). Catarina Casais collaborates with scholars based in United Kingdom, Germany and Japan. Catarina Casais's co-authors include Ken Shirasu, K. Ichimura, Akira Takahashi, Marco Trujillo, Paul Schulze‐Lefert, Scott C. Peck, Kazuo Shinozaki, Jack Peart, Pietro Piffanelli and Nicholas C. Collins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Catarina Casais

8 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Catarina Casais United Kingdom 7 1.4k 614 139 98 80 8 1.6k
Jack Peart United Kingdom 9 1.6k 1.1× 512 0.8× 117 0.8× 108 1.1× 95 1.2× 10 1.8k
Paul Muskett United Kingdom 12 1.6k 1.2× 790 1.3× 125 0.9× 58 0.6× 80 1.0× 13 1.7k
Qian‐Hua Shen China 23 2.3k 1.7× 732 1.2× 190 1.4× 164 1.7× 83 1.0× 42 2.6k
Johannes Stuttmann Germany 21 1.4k 1.0× 705 1.1× 65 0.5× 77 0.8× 89 1.1× 30 1.6k
Stéphane Bieri Switzerland 14 1.4k 1.0× 523 0.9× 157 1.1× 76 0.8× 52 0.7× 15 1.5k
W.I.L. Tameling Netherlands 17 2.0k 1.5× 531 0.9× 172 1.2× 146 1.5× 84 1.1× 21 2.1k
Jacqueline Monaghan Canada 20 2.2k 1.6× 1.0k 1.7× 129 0.9× 67 0.7× 56 0.7× 35 2.5k
Andreas Freialdenhoven Germany 13 1.9k 1.4× 732 1.2× 337 2.4× 60 0.6× 45 0.6× 14 2.1k
David A. Hubert United States 7 686 0.5× 282 0.5× 53 0.4× 68 0.7× 52 0.7× 9 827
Rafael Arango Colombia 18 398 0.3× 394 0.6× 104 0.7× 110 1.1× 78 1.0× 51 774

Countries citing papers authored by Catarina Casais

Since Specialization
Citations

This map shows the geographic impact of Catarina Casais'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 Catarina Casais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catarina Casais more than expected).

Fields of papers citing papers by Catarina Casais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catarina Casais. 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 Catarina Casais. The network helps show where Catarina Casais may publish in the future.

Co-authorship network of co-authors of Catarina Casais

This figure shows the co-authorship network connecting the top 25 collaborators of Catarina Casais. A scholar is included among the top collaborators of Catarina Casais 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 Catarina Casais. Catarina Casais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Trujillo, Marco, K. Ichimura, Catarina Casais, & Ken Shirasu. (2008). Negative Regulation of PAMP-Triggered Immunity by an E3 Ubiquitin Ligase Triplet in Arabidopsis. Current Biology. 18(18). 1396–1401. 217 indexed citations
2.
Azevedo, Cristina, Shigeyuki Betsuyaku, Jack Peart, et al.. (2006). Role of SGT1 in resistance protein accumulation in plant immunity. The EMBO Journal. 25(9). 2007–2016. 206 indexed citations
3.
Ichimura, K., Catarina Casais, Scott C. Peck, Kazuo Shinozaki, & Ken Shirasu. (2006). MEKK1 Is Required for MPK4 Activation and Regulates Tissue-specific and Temperature-dependent Cell Death in Arabidopsis. Journal of Biological Chemistry. 281(48). 36969–36976. 231 indexed citations
4.
Bieri, Stéphane, Qian‐Hua Shen, Jack Peart, et al.. (2004). RAR1 Positively Controls Steady State Levels of Barley MLA Resistance Proteins and Enables Sufficient MLA6 Accumulation for Effective Resistance. The Plant Cell. 16(12). 3480–3495. 216 indexed citations
5.
Takahashi, Akira, Catarina Casais, K. Ichimura, & Ken Shirasu. (2003). HSP90 interacts with RAR1 and SGT1 and is essential for RPS2-mediated disease resistance in Arabidopsis. Proceedings of the National Academy of Sciences. 100(20). 11777–11782. 389 indexed citations
6.
Moyes, Catherine L., et al.. (2002). Barriers to gene flow from oilseed rape (Brassica napus) into populations of Sinapis arvensis. Molecular Ecology. 11(1). 103–112. 35 indexed citations
7.
Piffanelli, Pietro, Fasong Zhou, Catarina Casais, et al.. (2002). The Barley MLO Modulator of Defense and Cell Death Is Responsive to Biotic and Abiotic Stress Stimuli. PLANT PHYSIOLOGY. 129(3). 1076–1085. 271 indexed citations
8.
Moyes, Catherine L., Julianne M. Lilley, Catarina Casais, & Phillip J. Dale. (1999). Gene flow from oilseed rape to Sinapis arvensis : Variation at the population level. 143–148. 1 indexed citations

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.

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