Tim Langdon

3.9k total citations
51 papers, 2.7k citations indexed

About

Tim Langdon is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Tim Langdon has authored 51 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 23 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Tim Langdon's work include Wheat and Barley Genetics and Pathology (16 papers), Chromosomal and Genetic Variations (15 papers) and Plant Disease Resistance and Genetics (13 papers). Tim Langdon is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Chromosomal and Genetic Variations (15 papers) and Plant Disease Resistance and Genetics (13 papers). Tim Langdon collaborates with scholars based in United Kingdom, Poland and United States. Tim Langdon's co-authors include Herbert N. Arst, Mark X. Caddick, Robert Hasterok, Jiming Jiang, Zhukuan Cheng, Bernard Kudla, Phillip Morris, R. Wayne Davies, Nilce Maria Martinez-Rossi and Marcia M. de O. Buanafina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The Plant Cell.

In The Last Decade

Tim Langdon

49 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Langdon United Kingdom 27 1.8k 1.5k 475 227 198 51 2.7k
Weining Song China 31 1.9k 1.0× 1.2k 0.8× 448 0.9× 185 0.8× 87 0.4× 80 2.7k
Hiroshi Takatsuji Japan 40 5.1k 2.8× 3.1k 2.1× 381 0.8× 166 0.7× 117 0.6× 76 5.7k
Somvong Tragoonrung Thailand 26 1.7k 0.9× 991 0.7× 651 1.4× 176 0.8× 126 0.6× 59 2.4k
Vincent Pétiard France 24 1.6k 0.9× 959 0.6× 657 1.4× 107 0.5× 62 0.3× 52 2.3k
Yūichi Katayose Japan 29 4.3k 2.3× 2.1k 1.4× 1.3k 2.7× 153 0.7× 69 0.3× 72 4.9k
Trevor H. Yeats United States 23 2.8k 1.6× 1.6k 1.1× 193 0.4× 171 0.8× 160 0.8× 29 3.6k
Ron Sederoff United States 15 1.0k 0.6× 789 0.5× 182 0.4× 89 0.4× 233 1.2× 17 1.6k
Ralf T. Voegele Germany 33 2.7k 1.5× 1.4k 0.9× 189 0.4× 165 0.7× 166 0.8× 109 3.4k
Thomas F. C. Chin‐A‐Woeng Netherlands 18 1.5k 0.8× 996 0.7× 264 0.6× 101 0.4× 75 0.4× 25 2.2k

Countries citing papers authored by Tim Langdon

Since Specialization
Citations

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

Fields of papers citing papers by Tim Langdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Langdon

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Langdon. A scholar is included among the top collaborators of Tim Langdon 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 Tim Langdon. Tim Langdon 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.
Montilla‐Bascón, Gracia, Wubishet A. Bekele, Catherine Howarth, et al.. (2021). Population genomics of Mediterranean oat (A. sativa) reveals high genetic diversity and three loci for heading date. Theoretical and Applied Genetics. 134(7). 2063–2077. 19 indexed citations
2.
Maughan, Peter J., Robert J. Vickerstaff, Cory Brouwer, et al.. (2019). Genomic insights from the first chromosome-scale assemblies of oat (Avena spp.) diploid species. BMC Biology. 17(1). 92–92. 51 indexed citations
3.
Louveau, Thomas, Anastasia Orme, Michael J. Stephenson, et al.. (2018). Analysis of Two New Arabinosyltransferases Belonging to the Carbohydrate-Active Enzyme (CAZY) Glycosyl Transferase Family1 Provides Insights into Disease Resistance and Sugar Donor Specificity. The Plant Cell. 30(12). 3038–3057. 56 indexed citations
4.
Rispail, Nicolás, Gracia Montilla‐Bascón, Javier Sánchez‐Martín, et al.. (2018). Multi-Environmental Trials Reveal Genetic Plasticity of Oat Agronomic Traits Associated With Climate Variable Changes. Frontiers in Plant Science. 9. 1358–1358. 17 indexed citations
5.
Montilla‐Bascón, Gracia, Nicolás Rispail, Javier Sánchez‐Martín, et al.. (2015). Genome-wide association study for crown rust (Puccinia coronata f. sp. avenae) and powdery mildew (Blumeria graminis f. sp. avenae) resistance in an oat (Avena sativa) collection of commercial varieties and landraces. Frontiers in Plant Science. 6. 103–103. 42 indexed citations
6.
7.
Montilla‐Bascón, Gracia, Javier Sánchez‐Martín, Nicolás Rispail, et al.. (2013). Genetic Diversity and Population Structure Among Oat Cultivars and Landraces. Plant Molecular Biology Reporter. 31(6). 1305–1314. 56 indexed citations
8.
Catalán, Pilar, Jochen A. Müller, Robert Hasterok, et al.. (2012). Evolution and taxonomic split of the model grass Brachypodium distachyon. Annals of Botany. 109(2). 385–405. 130 indexed citations
9.
Buanafina, Marcia M. de O., Tim Langdon, S. J. Dalton, & Phillip Morris. (2012). Expression of a Trichoderma reesei β-1,4 endo-xylanase in tall fescue modifies cell wall structure and digestibility and elicits pathogen defence responses. Planta. 236(6). 1757–1774. 21 indexed citations
10.
Langdon, Tim, Ann Thomas, Lin Huang, et al.. (2009). Fragments of the key flowering gene GIGANTEA are associated with helitron-type sequences in the Pooideae grass Lolium perenne. BMC Plant Biology. 9(1). 70–70. 12 indexed citations
11.
Buanafina, Marcia M. de O., Tim Langdon, Barbara Hauck, S. J. Dalton, & Phillip Morris. (2006). Manipulating the Phenolic Acid Content and Digestibility of Italian Ryegrass (Lolium multiflorum) by Vacuolar-Targeted Expression of a Fungal Ferulic Acid Esterase. Humana Press eBooks. 129-132. 416–426. 45 indexed citations
12.
Langdon, Tim, Penelope Hayward, Keith Brennan, et al.. (2006). Notch receptor encodes two structurally separable functions in Drosophila: A genetic analysis. Developmental Dynamics. 235(4). 998–1013. 22 indexed citations
13.
Lee, Hyeran, Wenli Zhang, Tim Langdon, et al.. (2005). Chromatin immunoprecipitation cloning reveals rapid evolutionary patterns of centromeric DNA in Oryza species. Proceedings of the National Academy of Sciences. 102(33). 11793–11798. 143 indexed citations
14.
Jenkins, Gareth, et al.. (2005). Strategies for the study of meiosis in rye. Cytogenetic and Genome Research. 109(1-3). 221–227. 14 indexed citations
15.
Buanafina, Marcia M. de O., et al.. (2002). Targeted expression of a ferulic acid esterase from Aspergillus niger in leaves of forage grasses. 66–67. 1 indexed citations
16.
Lawrence, Nicola, Tim Langdon, Keith Brennan, & Alfonso Martínez Arias. (2001). Notch signaling targets the Wingless responsiveness of a Ubx visceral mesoderm enhancer in Drosophila. Current Biology. 11(6). 375–385. 36 indexed citations
17.
18.
Platt, Adam, et al.. (1996). Mutational analysis of the C-terminal region of AREA, the transcription factor mediating nitrogen metabolite repression inAspergillus nidulans. Molecular and General Genetics MGG. 250(1). 106–114. 30 indexed citations
19.
20.
Langdon, Tim. (1987). Preventing browning in freshly prepared potatoes without the use of sulfiting agents. Food technology. 41. 64–67. 80 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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