Robin K. Cameron

3.0k total citations · 1 hit paper
39 papers, 2.3k citations indexed

About

Robin K. Cameron is a scholar working on Plant Science, Molecular Biology and Nephrology. According to data from OpenAlex, Robin K. Cameron has authored 39 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 11 papers in Molecular Biology and 3 papers in Nephrology. Recurrent topics in Robin K. Cameron's work include Plant-Microbe Interactions and Immunity (29 papers), Plant Parasitism and Resistance (13 papers) and Plant Stress Responses and Tolerance (11 papers). Robin K. Cameron is often cited by papers focused on Plant-Microbe Interactions and Immunity (29 papers), Plant Parasitism and Resistance (13 papers) and Plant Stress Responses and Tolerance (11 papers). Robin K. Cameron collaborates with scholars based in Canada, United States and Germany. Robin K. Cameron's co-authors include Richard A. Dixon, Chris Lamb, Ana M. Maldonado‐Alconada, Peter Doerner, Philip Carella, Julianne V. Kus, Catharine Whiteside, Christopher J. Lamb, A. Corina Vlot and Marc J. Champigny and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Robin K. Cameron

38 papers receiving 2.2k citations

Hit Papers

A putative lipid transfer protein involved in systemic re... 2002 2026 2010 2018 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A putative lipid transfer protein involved in systemic resistance signalling in Arabidopsis
    2002 605 citations Ana M. Maldonado‐Alconada, Peter Doerner et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin K. Cameron Canada 24 1.8k 815 182 152 146 39 2.3k
David Secco Australia 23 2.1k 1.1× 823 1.0× 28 0.2× 18 0.1× 41 0.3× 31 2.5k
Yuanzhong Jiang China 24 1.2k 0.6× 1.1k 1.4× 7 0.0× 44 0.3× 45 0.3× 38 1.7k
Richard Shattock United Kingdom 24 1.7k 0.9× 683 0.8× 10 0.1× 66 0.4× 760 5.2× 74 2.1k
Mahmut Tör United Kingdom 25 3.9k 2.1× 1.8k 2.2× 6 0.0× 115 0.8× 347 2.4× 60 4.6k
Nông Văn Hải Vietnam 19 377 0.2× 515 0.6× 14 0.1× 17 0.1× 37 0.3× 79 973
María Isabel Puga Spain 12 3.4k 1.8× 1.7k 2.1× 5 0.0× 393 2.6× 85 0.6× 13 4.1k
Lifen Xie China 14 590 0.3× 703 0.9× 11 0.1× 11 0.1× 36 0.2× 23 1.0k
R. Harcourt Australia 17 780 0.4× 570 0.7× 5 0.0× 94 0.6× 36 0.2× 22 1.5k

Countries citing papers authored by Robin K. Cameron

Since Specialization
Citations

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

Fields of papers citing papers by Robin K. Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin K. Cameron. 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 Robin K. Cameron. The network helps show where Robin K. Cameron may publish in the future.

Co-authorship network of co-authors of Robin K. Cameron

This figure shows the co-authorship network connecting the top 25 collaborators of Robin K. Cameron. A scholar is included among the top collaborators of Robin K. Cameron 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 Robin K. Cameron. Robin K. Cameron 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.
Liu, Jun, et al.. (2025). Development of a rapid screen to identify formulations that enhance plant resistance to viral infection. Physiological and Molecular Plant Pathology. 139. 102783–102783.
2.
Halim, Abdul, et al.. (2023). Exploring Pseudomonas syringae pv. tomato biofilm‐like aggregate formation in susceptible and PTI‐responding Arabidopsis thaliana. Molecular Plant Pathology. 25(1). e13403–e13403. 1 indexed citations
3.
4.
Wenig, Marion, Andrea Ghirardo, Jennifer Sales, et al.. (2019). Systemic acquired resistance networks amplify airborne defense cues. Nature Communications. 10(1). 3813–3813. 100 indexed citations
5.
6.
7.
Carella, Philip, Juliane Merl‐Pham, Sanjukta Dey, et al.. (2016). Comparative Proteomics Analysis of Arabidopsis Phloem Exudates Collected During the Induction of Systemic Acquired Resistance. PLANT PHYSIOLOGY. 171(2). pp.00269.2016–pp.00269.2016. 53 indexed citations
8.
Cameron, Robin K., Philip Carella, Marc J. Champigny, et al.. (2016). Using DIR1 to investigate long-distance signal movement during Systemic Acquired Resistance. Canadian Journal of Plant Pathology. 38(1). 19–24. 8 indexed citations
9.
Carella, Philip, et al.. (2015). Some things get better with age: differences in salicylic acid accumulation and defense signaling in young and mature Arabidopsis. Frontiers in Plant Science. 5. 775–775. 43 indexed citations
10.
11.
Carella, Philip, et al.. (2014). Intercellular salicylic acid accumulation during compatible and incompatibleArabidopsis-Pseudomonas syringaeinteractions. Plant Signaling & Behavior. 9(8). e29362–e29362. 8 indexed citations
12.
Champigny, Marc J., et al.. (2013). Long distance movement of DIR1 and investigation of the role of DIR1-like during systemic acquired resistance in Arabidopsis. Frontiers in Plant Science. 4. 230–230. 90 indexed citations
13.
Champigny, Marc J., Heather L. Shearer, Roger Thilmony, et al.. (2011). Localization of DIR1 at the tissue, cellular and subcellular levels during Systemic Acquired Resistance in Arabidopsisusing DIR1:GUS and DIR1:EGFP reporters. BMC Plant Biology. 11(1). 125–125. 43 indexed citations
14.
Carviel, Jessie, et al.. (2009). Forward and reverse genetics to identify genes involved in the age‐related resistance response in Arabidopsis thaliana. Molecular Plant Pathology. 10(5). 621–634. 36 indexed citations
15.
Vlot, A. Corina, Po‐Pu Liu, Robin K. Cameron, et al.. (2008). Identification of likely orthologs of tobacco salicylic acid‐binding protein 2 and their role in systemic acquired resistance in Arabidopsis thaliana. The Plant Journal. 56(3). 445–456. 171 indexed citations
16.
Haffani, Yosr Z., Nancy F. Silva-Gagliardi, Zhiying Zhao, et al.. (2006). Altered Expression of PERK Receptor Kinases inArabidopsisLeads to Changes in Growth and Floral Organ Formation. Plant Signaling & Behavior. 1(5). 251–260. 26 indexed citations
17.
Maldonado‐Alconada, Ana M., Peter Doerner, Richard A. Dixon, Chris Lamb, & Robin K. Cameron. (2002). A putative lipid transfer protein involved in systemic resistance signalling in Arabidopsis. Nature. 419(6905). 399–403. 605 indexed citations breakdown →
18.
Cameron, Robin K., et al.. (1995). Mu transposase-stimulated illegitimate recombination of Tn3kan- and IS101-containing plasmids. Research in Microbiology. 146(8). 601–616. 1 indexed citations
19.
Whiteside, Catharine, et al.. (1993). Podocytic cytoskeletal disaggregation and basement-membrane detachment in puromycin aminonucleoside nephrosis.. PubMed. 142(5). 1641–53. 92 indexed citations
20.

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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