Jorge Marqués

1.3k total citations
9 papers, 927 citations indexed

About

Jorge Marqués is a scholar working on Plant Science, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Jorge Marqués has authored 9 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Molecular Biology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Jorge Marqués's work include Plant Molecular Biology Research (5 papers), Plant-Microbe Interactions and Immunity (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Jorge Marqués is often cited by papers focused on Plant Molecular Biology Research (5 papers), Plant-Microbe Interactions and Immunity (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Jorge Marqués collaborates with scholars based in United States, Spain and Argentina. Jorge Marqués's co-authors include Xinnian Dong, Lijing Liu, Wei Wang, Rajinikanth Mohan, Abdelaty Saleh, Shunping Yan, Heejin Yoo, George H. Greene, Guoyong Xu and Sargis Karapetyan and has published in prestigious journals such as Nature, Nature Communications and Molecular Cell.

In The Last Decade

Jorge Marqués

9 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Marqués United States 8 737 497 36 29 26 9 927
Tong‐Seung Tseng United States 13 725 1.0× 681 1.4× 22 0.6× 22 0.8× 7 0.3× 18 914
Yunping Shen China 14 1.4k 1.9× 1.3k 2.6× 64 1.8× 16 0.6× 29 1.1× 15 1.6k
Jacob O. Brunkard United States 17 1.3k 1.7× 734 1.5× 22 0.6× 18 0.6× 22 0.8× 32 1.5k
Ruey‐Fen Liou Taiwan 17 447 0.6× 328 0.7× 156 4.3× 11 0.4× 32 1.2× 37 739
Musoki Mwimba United States 6 496 0.7× 206 0.4× 30 0.8× 11 0.4× 63 2.4× 8 590
Marta Rodríguez‐Franco Germany 19 554 0.8× 686 1.4× 28 0.8× 39 1.3× 9 0.3× 32 952
Dawn H. Nagel United States 13 935 1.3× 692 1.4× 12 0.3× 11 0.4× 20 0.8× 20 1.1k
Sargis Karapetyan United States 7 448 0.6× 282 0.6× 17 0.5× 11 0.4× 28 1.1× 8 594
A. C. Chandra‐Shekara United States 11 800 1.1× 287 0.6× 36 1.0× 7 0.2× 47 1.8× 13 850
Dongqing Xu China 15 969 1.3× 755 1.5× 8 0.2× 25 0.9× 26 1.0× 28 1.1k

Countries citing papers authored by Jorge Marqués

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Marqués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Marqués

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

All Works

9 of 9 papers shown
1.
Yoo, Heejin, George H. Greene, Meng Yuan, et al.. (2019). Translational Regulation of Metabolic Dynamics during Effector-Triggered Immunity. Molecular Plant. 13(1). 88–98. 70 indexed citations
2.
Mwimba, Musoki, Sargis Karapetyan, Lijing Liu, et al.. (2018). Daily humidity oscillation regulates the circadian clock to influence plant physiology. Nature Communications. 9(1). 4290–4290. 43 indexed citations
3.
Xu, Guoyong, George H. Greene, Heejin Yoo, et al.. (2017). Global translational reprogramming is a fundamental layer of immune regulation in plants. Nature. 545(7655). 487–490. 171 indexed citations
4.
Zhou, Mian, Wei Wang, Sargis Karapetyan, et al.. (2015). Redox rhythm reinforces the circadian clock to gate immune response. Nature. 523(7561). 472–476. 155 indexed citations
5.
Saleh, Abdelaty, John Withers, Rajinikanth Mohan, et al.. (2015). Posttranslational Modifications of the Master Transcriptional Regulator NPR1 Enable Dynamic but Tight Control of Plant Immune Responses. Cell Host & Microbe. 18(2). 169–182. 193 indexed citations
6.
Nebauer, Sergio G., Laura Carrillo, Pedro Fernández-Nohales, et al.. (2014). Characterization of tomato Cycling Dof Factors reveals conserved and new functions in the control of flowering time and abiotic stress responses. Journal of Experimental Botany. 65(4). 995–1012. 162 indexed citations
7.
Carrillo, Laura, Sergio G. Nebauer, Begoña Renau‐Morata, et al.. (2014). Salinity Assay in Arabidopsis. BIO-PROTOCOL. 4(16). 11 indexed citations
8.
Renau‐Morata, Begoña, Joaquı́n Medina, R.V. Molina, et al.. (2014). Salinity Assay in Tomato. BIO-PROTOCOL. 4(16). 5 indexed citations
9.
Yan, Shunping, Wei Wang, Jorge Marqués, et al.. (2013). Salicylic Acid Activates DNA Damage Responses to Potentiate Plant Immunity. Molecular Cell. 52(4). 602–610. 117 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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