Matthew Ramon

1.6k total citations
24 papers, 1.1k citations indexed

About

Matthew Ramon is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Matthew Ramon has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 16 papers in Molecular Biology and 7 papers in Food Science. Recurrent topics in Matthew Ramon's work include Genetically Modified Organisms Research (11 papers), Plant Molecular Biology Research (9 papers) and Plant nutrient uptake and metabolism (9 papers). Matthew Ramon is often cited by papers focused on Genetically Modified Organisms Research (11 papers), Plant Molecular Biology Research (9 papers) and Plant nutrient uptake and metabolism (9 papers). Matthew Ramon collaborates with scholars based in Belgium, United States and France. Matthew Ramon's co-authors include Filip Rolland, Jen Sheen, Patrick Van Dijck, Lies Vandesteene, Johan M. Thevelein, Barbara Leyman, Katrien Le Roy, Ruben Ghillebert, Joris Winderickx and Koen Norga and has published in prestigious journals such as The Plant Cell, The Plant Journal and Trends in Plant Science.

In The Last Decade

Matthew Ramon

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Ramon Belgium 12 937 577 44 42 33 24 1.1k
Chika Tateda Japan 12 874 0.9× 788 1.4× 31 0.7× 33 0.8× 41 1.2× 21 1.2k
Francesca Sicilia Italy 14 1.1k 1.2× 430 0.7× 32 0.7× 33 0.8× 42 1.3× 15 1.3k
Tzvetanka D. Dinkova Mexico 18 583 0.6× 546 0.9× 29 0.7× 40 1.0× 38 1.2× 45 864
Sisi Chen China 11 427 0.5× 247 0.4× 44 1.0× 26 0.6× 33 1.0× 20 655
Huanju Qin China 16 888 0.9× 398 0.7× 21 0.5× 19 0.5× 42 1.3× 27 1.0k
Stéphanie Pateyron France 21 1.3k 1.4× 538 0.9× 52 1.2× 32 0.8× 42 1.3× 35 1.4k
Anjanasree K. Neelakandan United States 14 886 0.9× 816 1.4× 15 0.3× 60 1.4× 73 2.2× 18 1.1k
Paola Leonetti Italy 18 1.2k 1.3× 361 0.6× 24 0.5× 109 2.6× 15 0.5× 40 1.4k
Stefano Gattolin Italy 15 549 0.6× 369 0.6× 41 0.9× 34 0.8× 14 0.4× 26 710

Countries citing papers authored by Matthew Ramon

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ramon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Ramon

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

All Works

20 of 20 papers shown
1.
Ramon, Matthew, Tuong Vi T. Dang, Sander Hulsmans, et al.. (2019). Default Activation and Nuclear Translocation of the Plant Cellular Energy Sensor SnRK1 Regulate Metabolic Stress Responses and Development. The Plant Cell. 31(7). 1614–1632. 113 indexed citations
2.
Paraskevopoulos, Konstantinos, Matthew Ramon, Tamás Dalmay, et al.. (2018). Explanatory note on the determination of newly expressed protein levels in the context of genetically modified plant applications for EU market authorisation. EFSA Supporting Publications. 15(8). 1 indexed citations
3.
Papadopoulou, Nikoletta, et al.. (2018). Risk assessment of new sequencing information for genetically modified soybean BPS‐CV127‐9. EFSA Journal. 16(9). e05425–e05425. 1 indexed citations
4.
Naegeli, Hanspeter, Andrew Nicholas Birch, Josep Casacuberta, et al.. (2018). Assessment of genetically modified maize MON 87403 for food and feed uses, import and processing, under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐BE‐2015‐125). EFSA Journal. 16(3). e05225–e05225. 3 indexed citations
5.
Gennaro, Andrea, et al.. (2018). Risk assessment of new sequencing information on genetically modified carnation FLO‐40689‐6. EFSA Journal. 16(9). e05424–e05424. 1 indexed citations
6.
Paraskevopoulos, Konstantinos, et al.. (2017). Predictive Protein Toxicity and Its Use in Risk Assessment. Trends in biotechnology. 35(6). 483–486. 6 indexed citations
7.
Casacuberta, Josep, et al.. (2017). Risk assessment of new sequencing information on genetically modified soybean event 305423. EFSA Journal. 15(8). e04967–e04967. 4 indexed citations
8.
Naegeli, Hanspeter, Andrew Nicholas Birch, Josep Casacuberta, et al.. (2017). Assessment of genetically modified sugar beet H7‐1 for renewal of authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐006). EFSA Journal. 15(11). e05065–e05065. 3 indexed citations
9.
10.
Houston, Ross D., Simon Moxon, Fabien Nogué, et al.. (2017). Assessment of the potential integration of the DNA plasmid vaccine CLYNAV into the salmon genome. EFSA Journal. 15(1). e04689–e04689. 10 indexed citations
11.
Casacuberta, Josep, Yann Devos, Patrick du Jardin, et al.. (2015). Biotechnological uses of RNAi in plants: risk assessment considerations. Trends in biotechnology. 33(3). 145–147. 62 indexed citations
12.
Ramon, Matthew, Yann Devos, Yi Liu, et al.. (2014). RNAi‐based GM plants: food for thought for risk assessors. Plant Biotechnology Journal. 12(9). 1271–1273. 24 indexed citations
13.
Ramon, Matthew, Philip Ruelens, Yi Li, et al.. (2013). The hybrid Four‐ CBS ‐Domain KIN βγ subunit functions as the canonical γ subunit of the plant energy sensor Sn RK 1. The Plant Journal. 75(1). 11–25. 79 indexed citations
14.
Ghillebert, Ruben, Erwin Swinnen, Jing Wen, et al.. (2011). The AMPK/SNF1/SnRK1 fuel gauge and energy regulator: structure, function and regulation. FEBS Journal. 278(21). 3978–3990. 165 indexed citations
15.
Vandesteene, Lies, Matthew Ramon, Katrien Le Roy, Patrick Van Dijck, & Filip Rolland. (2010). A Single Active Trehalose-6-P Synthase (TPS) and a Family of Putative Regulatory TPS-Like Proteins in Arabidopsis. Molecular Plant. 3(2). 406–419. 135 indexed citations
16.
Ramon, Matthew, Ive De Smet, Lies Vandesteene, et al.. (2009). Extensive expression regulation and lack of heterologous enzymatic activity of the Class II trehalose metabolism proteins from Arabidopsis thaliana. Plant Cell & Environment. 32(8). 1015–1032. 114 indexed citations
17.
Ramon, Matthew & Filip Rolland. (2007). Plant development: introducing trehalose metabolism. Trends in Plant Science. 12(5). 185–188. 58 indexed citations
18.
Ramon, Matthew, Filip Rolland, Johan M. Thevelein, Patrick Van Dijck, & Barbara Leyman. (2006). ABI4 mediates the effects of exogenous trehalose on Arabidopsis growth and starch breakdown. Plant Molecular Biology. 63(2). 195–206. 92 indexed citations
19.
Leyman, Barbara, Nelson Avonce, Matthew Ramon, et al.. (2005). Trehalose-6-phosphate synthase as an intrinsic selection marker for plant transformation. Journal of Biotechnology. 121(3). 309–317. 21 indexed citations
20.
Leyman, Barbara, Nelson Avonce, Matthew Ramon, et al.. (2004). New Selection Marker for Plant Transformation. Humana Press eBooks. 267. 385–396. 6 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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