Gail M. Preston

7.4k total citations
110 papers, 4.8k citations indexed

About

Gail M. Preston is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Gail M. Preston has authored 110 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 27 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Gail M. Preston's work include Plant-Microbe Interactions and Immunity (50 papers), Plant Pathogenic Bacteria Studies (40 papers) and Legume Nitrogen Fixing Symbiosis (35 papers). Gail M. Preston is often cited by papers focused on Plant-Microbe Interactions and Immunity (50 papers), Plant Pathogenic Bacteria Studies (40 papers) and Legume Nitrogen Fixing Symbiosis (35 papers). Gail M. Preston collaborates with scholars based in United Kingdom, United States and Germany. Gail M. Preston's co-authors include Helen N. Fones, Arantza Rico, Paul B. Rainey, Alan Collmer, Jaime Carrasco, Johan H. J. Leveau, Andrew J.M. Howden, Wei E. Huang, Renier A. L. van der Hoorn and Ian P. Thompson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gail M. Preston

107 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gail M. Preston United Kingdom 43 3.2k 1.4k 392 355 337 110 4.8k
Elizabeth A. Pierson United States 38 2.9k 0.9× 1.5k 1.1× 487 1.2× 363 1.0× 275 0.8× 93 4.6k
Menno van der Voort Netherlands 21 1.8k 0.6× 1.4k 1.0× 599 1.5× 339 1.0× 344 1.0× 36 3.5k
Jesús V. Jorrín–Novo Spain 42 3.5k 1.1× 2.3k 1.6× 184 0.5× 507 1.4× 161 0.5× 175 5.2k
Jianping Han China 29 1.3k 0.4× 2.4k 1.7× 535 1.4× 351 1.0× 331 1.0× 70 4.0k
Axel Schmidt Germany 38 1.7k 0.5× 2.1k 1.5× 567 1.4× 393 1.1× 488 1.4× 131 5.1k
Shennan Lu United States 11 2.1k 0.7× 3.8k 2.7× 825 2.1× 253 0.7× 253 0.8× 13 6.2k
Aurélien Luciani United Kingdom 4 1.7k 0.5× 3.2k 2.3× 706 1.8× 206 0.6× 188 0.6× 4 4.8k
Renata C. Geer United States 10 1.9k 0.6× 3.9k 2.8× 828 2.1× 280 0.8× 249 0.7× 12 6.4k
Chris G. de Koster Netherlands 47 2.1k 0.6× 3.1k 2.2× 255 0.7× 1.0k 2.9× 181 0.5× 149 6.7k

Countries citing papers authored by Gail M. Preston

Since Specialization
Citations

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

Fields of papers citing papers by Gail M. Preston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail M. Preston. 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 Gail M. Preston. The network helps show where Gail M. Preston may publish in the future.

Co-authorship network of co-authors of Gail M. Preston

This figure shows the co-authorship network connecting the top 25 collaborators of Gail M. Preston. A scholar is included among the top collaborators of Gail M. Preston 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 Gail M. Preston. Gail M. Preston 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.
Hawkins, Nichola J., Elena Baraldi, Alan G. Buddie, et al.. (2025). Learning from fungicide resistance: Evolutionary insights to guide RNAi-based control of fungal crop pathogens. Fungal Biology Reviews. 53. 100443–100443. 1 indexed citations
2.
Sanguankiattichai, Nattapong, Balakumaran Chandrasekar, Yuewen Sheng, et al.. (2025). Bacterial pathogen deploys the iminosugar glycosyrin to manipulate plant glycobiology. Science. 388(6744). 297–303. 1 indexed citations
3.
Rossi, Franco R., et al.. (2025). The influence of the polyamine synthesis pathways on Pseudomonas syringae virulence and plant interaction. Microbiology. 171(6). 1 indexed citations
4.
Bentley, Michael A., Christian A. Yates, Jotun Hein, Gail M. Preston, & Kevin R. Foster. (2022). Pleiotropic constraints promote the evolution of cooperation in cellular groups. PLoS Biology. 20(6). e3001626–e3001626. 6 indexed citations
5.
Schuster, Mariana, et al.. (2021). AgroLux: bioluminescent Agrobacterium to improve molecular pharming and study plant immunity. The Plant Journal. 108(2). 600–612. 9 indexed citations
6.
Fusi, Marco, et al.. (2021). The effect of plant domestication on host control of the microbiota. Communications Biology. 4(1). 936–936. 48 indexed citations
7.
Bach‐Pages, Marcel, Felix Homma, Jiorgos Kourelis, et al.. (2020). Discovering the RNA-Binding Proteome of Plant Leaves with an Improved RNA Interactome Capture Method. Biomolecules. 10(4). 661–661. 67 indexed citations
8.
Jackson, Robert W., et al.. (2018). Supercoiling of an excised genomic island represses effector gene expression to prevent activation of host resistance. Molecular Microbiology. 110(3). 444–454. 8 indexed citations
9.
Rampley, Cordelia P. N., Paul A. Davison, Qian Pu, et al.. (2017). Development of SimCells as a novel chassis for functional biosensors. Scientific Reports. 7(1). 7261–7261. 23 indexed citations
10.
Bach‐Pages, Marcel & Gail M. Preston. (2017). Methods to Quantify Biotic-Induced Stress in Plants. Methods in molecular biology. 1734. 241–255. 32 indexed citations
11.
Qi, Qin, Macarena Toll‐Riera, Karl Heilbron, Gail M. Preston, & R. Craig MacLean. (2016). The genomic basis of adaptation to the fitness cost of rifampicin resistance inPseudomonas aeruginosa. Proceedings of the Royal Society B Biological Sciences. 283(1822). 20152452–20152452. 21 indexed citations
12.
O’Leary, Brendan M., et al.. (2014). The Infiltration-centrifugation Technique for Extraction of Apoplastic Fluid from Plant Leaves Using <em>Phaseolus vulgaris</em> as an Example. Journal of Visualized Experiments. 6 indexed citations
13.
O’Leary, Brendan M., et al.. (2014). The Infiltration-centrifugation Technique for Extraction of Apoplastic Fluid from Plant Leaves Using <em>Phaseolus vulgaris</em> as an Example. Journal of Visualized Experiments. 73 indexed citations
14.
Fones, Helen N. & Gail M. Preston. (2012). The impact of transition metals on bacterial plant disease. FEMS Microbiology Reviews. 37(4). 495–519. 98 indexed citations
15.
Fones, Helen N., et al.. (2010). Metal Hyperaccumulation Armors Plants against Disease. PLoS Pathogens. 6(9). e1001093–e1001093. 100 indexed citations
16.
Howden, Andrew J.M., et al.. (2009). Pseudomonas syringae pv. syringae B728a hydrolyses indole‐3‐acetonitrile to the plant hormone indole‐3‐acetic acid. Molecular Plant Pathology. 10(6). 857–865. 26 indexed citations
17.
Song, Yizhi, Tae‐Wook Hahn, Ian P. Thompson, et al.. (2007). Ultrasound-mediated DNA transfer for bacteria. Nucleic Acids Research. 35(19). e129–e129. 62 indexed citations
18.
Charkowski, Amy O., et al.. (1998). Pseudomonas syringae pv.tomatoのHrpW蛋白質は,ハルピンとペクチン酸リアーゼに類似のドメインを持ち,植物の過敏感反応の誘導能とペクチン酸との結合能を持つ. Journal of Bacteriology. 180(19). 5211–5217. 1 indexed citations
19.
Preston, Gail M., Hsiou-Chen Huang, & Alan Collmer. (1995). The HrpZ proteins of Pseudomonas syringae pvs syringae, glycinea and tomato are encoded by operons containing Yersinia YSC homologs and exhibit similar elicitor activity. Phytopathology. 85(10). 1159. 2 indexed citations
20.
Preston, Gail M., et al.. (1954). The cross-sections and angular distributions of the D—D reactions between 150 and 450 keV. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 226(1165). 206–216. 26 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026