Christopher D. Todd

2.9k total citations · 1 hit paper
50 papers, 2.2k citations indexed

About

Christopher D. Todd is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Christopher D. Todd has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 19 papers in Molecular Biology and 4 papers in Endocrinology. Recurrent topics in Christopher D. Todd's work include Plant Stress Responses and Tolerance (18 papers), Plant Disease Resistance and Genetics (11 papers) and Plant nutrient uptake and metabolism (9 papers). Christopher D. Todd is often cited by papers focused on Plant Stress Responses and Tolerance (18 papers), Plant Disease Resistance and Genetics (11 papers) and Plant nutrient uptake and metabolism (9 papers). Christopher D. Todd collaborates with scholars based in Canada, United States and China. Christopher D. Todd's co-authors include Maurizio Trovato, Dietmar Funck, Giuseppe Forlani, Joe C. Polacco, Peta C. Bonham‐Smith, Yongping Yang, Yangdou Wei, David J. Gifford, Xiangyang Hu and Xuegui Bai and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Hazardous Materials.

In The Last Decade

Christopher D. Todd

49 papers receiving 2.1k citations

Hit Papers

Physiological implications of arginine metabolism in plants 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher D. Todd Canada 26 1.8k 853 89 75 72 50 2.2k
Juan Wang China 34 3.0k 1.7× 1.5k 1.8× 32 0.4× 50 0.7× 99 1.4× 98 3.4k
Xiaojuan Liu China 20 1.0k 0.6× 882 1.0× 34 0.4× 38 0.5× 48 0.7× 86 1.6k
Ludivine Taconnat France 28 3.3k 1.8× 2.4k 2.8× 69 0.8× 70 0.9× 101 1.4× 35 4.3k
Jennifer Ann Harikrishna Malaysia 25 1.1k 0.6× 1.0k 1.2× 79 0.9× 30 0.4× 67 0.9× 105 2.1k
Jun Tang China 27 1.8k 1.0× 1.3k 1.5× 26 0.3× 93 1.2× 59 0.8× 94 2.4k
Paula Duque Portugal 24 1.6k 0.9× 1.5k 1.7× 54 0.6× 33 0.4× 36 0.5× 43 2.5k
Tiziana Pandolfini Italy 26 1.7k 1.0× 1.1k 1.3× 27 0.3× 79 1.1× 95 1.3× 66 2.2k

Countries citing papers authored by Christopher D. Todd

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Todd. 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 Christopher D. Todd. The network helps show where Christopher D. Todd may publish in the future.

Co-authorship network of co-authors of Christopher D. Todd

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Todd. A scholar is included among the top collaborators of Christopher D. Todd 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 Christopher D. Todd. Christopher D. Todd 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.
Todd, Christopher D., Lingling Jin, & Ian McQuillan. (2025). SV-JIM, detailed pairwise structural variant calling using long-reads and genome assemblies. Methods. 234. 305–313.
2.
Todd, Christopher D., et al.. (2024). Plasmodiophora brassicae Effector PbPE23 Induces Necrotic Responses in Both Host and Nonhost Plants. Phytopathology. 115(1). 66–76. 1 indexed citations
3.
Todd, Christopher D., et al.. (2024). The Plasmodiophora brassicae Golgi-localized UPF0016 protein PbGDT1 mediates calcium but not manganese transport in yeast and Nicotiana benthamiana. Fungal Genetics and Biology. 172. 103896–103896. 1 indexed citations
4.
Dresler, Sławomir, Jozef Kováčik, Ireneusz Sowa, et al.. (2022). Allantoin overaccumulation enhances production of metabolites under excess of metals but is not tightly regulated by nitric oxide. Journal of Hazardous Materials. 436. 129138–129138. 7 indexed citations
6.
Todd, Christopher D., et al.. (2018). There is a direct link between allantoin concentration and cadmium tolerance in Arabidopsis. Plant Physiology and Biochemistry. 135. 441–449. 22 indexed citations
7.
Trost, Brett, J. C. Tu, Anthony Kusalik, et al.. (2018). Transcriptome analysis of response to Plasmodiophora brassicae infection in the Arabidopsis shoot and root. BMC Genomics. 19(1). 23–23. 73 indexed citations
8.
Gordon, Cameron, Nandhakishore Rajagopalan, Eddy Risseeuw, et al.. (2016). Characterization of Triticum aestivum Abscisic Acid Receptors and a Possible Role for These in Mediating Fusairum Head Blight Susceptibility in Wheat. PLoS ONE. 11(10). e0164996–e0164996. 37 indexed citations
9.
Daba, Ketema, Thomas D. Warkentin, Rosalind Bueckert, Christopher D. Todd, & Bunyamin Tar’an. (2016). Determination of Photoperiod-Sensitive Phase in Chickpea (Cicer arietinum L.). Frontiers in Plant Science. 7. 478–478. 19 indexed citations
10.
Todd, Christopher D., et al.. (2015). Arabidopsis AIR12 influences root development. Physiology and Molecular Biology of Plants. 21(4). 479–489. 21 indexed citations
11.
Todd, Christopher D., et al.. (2015). Combining RNA-seq and proteomic profiling to identify seminal fluid proteins in the migratory grasshopper Melanoplus sanguinipes (F). BMC Genomics. 16(1). 1096–1096. 17 indexed citations
12.
13.
Wang, Chuntao, Xiangxiang Kong, Lan Ma, et al.. (2013). A Series of TA-Based and Zero-Background Vectors for Plant Functional Genomics. PLoS ONE. 8(3). e59576–e59576. 18 indexed citations
14.
Gravot, Antoine, Carole Deleu, Christine Lariagon, et al.. (2012). Arginase Induction Represses Gall Development During Clubroot Infection in Arabidopsis. Plant and Cell Physiology. 53(5). 901–911. 44 indexed citations
15.
Todd, Christopher D., et al.. (2008). Analysis of Arabidopsis arginase gene transcription patterns indicates specific biological functions for recently diverged paralogs. Plant Molecular Biology. 67(4). 429–440. 42 indexed citations
16.
Palmieri, Luigi, Christopher D. Todd, Roberto Arrigoni, et al.. (2006). Arabidopsis mitochondria have two basic amino acid transporters with partially overlapping specificities and differential expression in seedling development. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1757(9-10). 1277–1283. 42 indexed citations
17.
Todd, Christopher D., Peter A. Tipton, Dale G. Blevins, et al.. (2005). Update on ureide degradation in legumes. Journal of Experimental Botany. 57(1). 5–12. 139 indexed citations
18.
Todd, Christopher D. & David J. Gifford. (2003). Loblolly pine arginase responds to arginine in vitro. Planta. 217(4). 610–615. 13 indexed citations
19.
Todd, Christopher D. & David J. Gifford. (2002). The role of the megagametophyte in maintaining loblolly pine ( Pinus taeda L.) seedling arginase gene expression in vitro. Planta. 215(1). 110–118. 22 indexed citations
20.
Todd, Christopher D., Janice E. K. Cooke, Robert T. Mullen, & David J. Gifford. (2001). Regulation of loblolly pine (Pinus taeda L.) arginase in developing seedling tissue during germination and post-germinative growth. Plant Molecular Biology. 45(5). 555–565. 40 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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