Mara de Sain

679 total citations
11 papers, 497 citations indexed

About

Mara de Sain is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Mara de Sain has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Mara de Sain's work include Plant-Microbe Interactions and Immunity (8 papers), Plant Pathogens and Fungal Diseases (6 papers) and CRISPR and Genetic Engineering (3 papers). Mara de Sain is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Plant Pathogens and Fungal Diseases (6 papers) and CRISPR and Genetic Engineering (3 papers). Mara de Sain collaborates with scholars based in Netherlands, Iran and Australia. Mara de Sain's co-authors include Martijn Rep, R. Weide, Francine Govers, Klaas Bouwmeester, A. Gouget, Hervé Canut, Sofieke Klamer, Louise F. Thatcher, David A. Jones and Peter van Dam and has published in prestigious journals such as Applied and Environmental Microbiology, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Mara de Sain

11 papers receiving 493 citations

Peers

Mara de Sain

PS

CB

MB

PHYSI

IS

Ooi-Kock Teh Japan

Yuting Sheng China

Monika Kalde United Kingdom

Isabell Küfner Germany

Saeko Kitakura Japan

Nick C. Snelders Netherlands

Jidong Cao China

Mehdi Doumane France

Pin‐Yao Huang Taiwan

Yachun Lin China

Ooi-Kock Teh Japan

Mara de Sain

394 ×0.9

PS

162 ×0.8

CB

355 ×3.7

MB

22 ×1.2

PHYSI

4 ×0.3

IS

Citations per year, relative to Mara de Sain Mara de Sain (= 1×) peers Ooi-Kock Teh

Countries citing papers authored by Mara de Sain

Since Specialization

Citations

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

Fields of papers citing papers by Mara de Sain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mara de Sain. 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 Mara de Sain. The network helps show where Mara de Sain may publish in the future.

Co-authorship network of co-authors of Mara de Sain

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

All Works

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11 of 11 papers shown

1.

Sain, Mara de, Fleur Gawehns, Lukas Dekker, et al.. (2023). Specific members of the TOPLESS family are susceptibility genes for Fusarium wilt in tomato and Arabidopsis. Plant Biotechnology Journal. 22(1). 248–261. 9 indexed citations

2.

Banihashemi, Z., et al.. (2022). Genome sequences of 38 Fusarium oxysporum strains. BMC Research Notes. 15(1). 229–229. 5 indexed citations

3.

Constantin, Maria E., Like Fokkens, Mara de Sain, Frank L. W. Takken, & Martijn Rep. (2021). Number of Candidate Effector Genes in Accessory Genomes Differentiates Pathogenic From Endophytic Fusarium oxysporum Strains. Frontiers in Plant Science. 12. 761740–761740. 24 indexed citations

4.

Sain, Mara de, et al.. (2020). Comparative genomics of Fusarium oxysporum f. sp. melonis strains reveals nine lineages and a new sequence type of AvrFom2. Environmental Microbiology. 23(4). 2035–2053. 5 indexed citations

5.

Tark‐Dame, Mariliis, et al.. (2018). Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector. Journal of Visualized Experiments. 2 indexed citations

6.

Tark‐Dame, Mariliis, et al.. (2018). Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector. Journal of Visualized Experiments. 2 indexed citations

7.

Dam, Peter van, et al.. (2017). Use of Comparative Genomics-Based Markers for Discrimination of Host Specificity in Fusarium oxysporum. Applied and Environmental Microbiology. 84(1). 64 indexed citations

8.

Tark‐Dame, Mariliis, et al.. (2016). BIBAC-GW-based vectors for generating reporter lines for site-specific genome editing in planta. Plasmid. 89. 27–36. 2 indexed citations

9.

Catanzariti, Ann‐Maree, et al.. (2016). The tomato I gene for Fusarium wilt resistance encodes an atypical leucine‐rich repeat receptor‐like protein whose function is nevertheless dependent on SOBIR1 and SERK3/BAK1. The Plant Journal. 89(6). 1195–1209. 90 indexed citations

10.

Sain, Mara de & Martijn Rep. (2015). The Role of Pathogen-Secreted Proteins in Fungal Vascular Wilt Diseases. International Journal of Molecular Sciences. 16(10). 23970–23993. 107 indexed citations

11.

Bouwmeester, Klaas, Mara de Sain, R. Weide, et al.. (2011). The Lectin Receptor Kinase LecRK-I.9 Is a Novel Phytophthora Resistance Component and a Potential Host Target for a RXLR Effector. PLoS Pathogens. 7(3). e1001327–e1001327. 187 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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