Ian J. Tetlow

4.9k total citations · 1 hit paper
58 papers, 3.7k citations indexed

About

Ian J. Tetlow is a scholar working on Nutrition and Dietetics, Plant Science and Biotechnology. According to data from OpenAlex, Ian J. Tetlow has authored 58 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Nutrition and Dietetics, 44 papers in Plant Science and 14 papers in Biotechnology. Recurrent topics in Ian J. Tetlow's work include Food composition and properties (42 papers), Phytase and its Applications (28 papers) and Microbial Metabolites in Food Biotechnology (27 papers). Ian J. Tetlow is often cited by papers focused on Food composition and properties (42 papers), Phytase and its Applications (28 papers) and Microbial Metabolites in Food Biotechnology (27 papers). Ian J. Tetlow collaborates with scholars based in Canada, United Kingdom and United States. Ian J. Tetlow's co-authors include Michael J. Emes, Matthew K. Morell, Fushan Liu, Caroline Bowsher, Robin Wait, Eric Bertoft, Jenelle A. Patterson, Amina Makhmoudova, Mark A.A. Minow and J. F. FARRAR and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and The Journal of Physical Chemistry B.

In The Last Decade

Ian J. Tetlow

58 papers receiving 3.6k citations

Hit Papers

Starch as a source, starch as a sink: the bifunctional ro... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian J. Tetlow Canada 32 2.4k 2.3k 674 612 598 58 3.7k
Simona Eicke Switzerland 23 1.3k 0.5× 814 0.4× 226 0.3× 299 0.5× 649 1.1× 33 2.0k
David Seung United Kingdom 20 1.1k 0.5× 771 0.3× 239 0.4× 235 0.4× 451 0.8× 46 1.7k
Gerhard Ritte Germany 20 1.6k 0.6× 1.1k 0.5× 233 0.3× 482 0.8× 673 1.1× 26 2.4k
Stanley H. Duke United States 28 1.6k 0.6× 684 0.3× 149 0.2× 674 1.1× 386 0.6× 84 2.1k
Christopher M. Hylton United Kingdom 18 1.3k 0.5× 967 0.4× 230 0.3× 373 0.6× 575 1.0× 21 1.9k
Jack C. Shannon United States 26 1.7k 0.7× 789 0.3× 338 0.5× 210 0.3× 693 1.2× 61 2.1k
Christophe d’Hulst France 33 1.5k 0.6× 1.7k 0.7× 485 0.7× 734 1.2× 885 1.5× 60 3.0k
Cynthia A. Henson United States 24 1.3k 0.5× 929 0.4× 204 0.3× 720 1.2× 308 0.5× 72 1.9k
Bernd Müller‐Röber Germany 31 2.9k 1.2× 427 0.2× 131 0.2× 238 0.4× 1.5k 2.6× 46 3.6k
John V. Jacobsen Australia 43 5.1k 2.1× 442 0.2× 213 0.3× 1.2k 1.9× 3.0k 5.0× 77 5.9k

Countries citing papers authored by Ian J. Tetlow

Since Specialization
Citations

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

Fields of papers citing papers by Ian J. Tetlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian J. Tetlow. 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 Ian J. Tetlow. The network helps show where Ian J. Tetlow may publish in the future.

Co-authorship network of co-authors of Ian J. Tetlow

This figure shows the co-authorship network connecting the top 25 collaborators of Ian J. Tetlow. A scholar is included among the top collaborators of Ian J. Tetlow 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 Ian J. Tetlow. Ian J. Tetlow 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.
Butler, Victoria, et al.. (2025). Covalently linked phosphate monoesters on alpha-polyglucans reduce substrate affinity of branching enzymes. Carbohydrate Polymers. 359. 123561–123561. 1 indexed citations
3.
Wang, Liping, et al.. (2021). CRISPR–Cas9-mediated editing of starch branching enzymes results in altered starch structure in Brassica napus. PLANT PHYSIOLOGY. 188(4). 1866–1886. 15 indexed citations
4.
Patterson, Jenelle A., Ian J. Tetlow, & Michael J. Emes. (2018). Bioinformatic and in vitro Analyses of Arabidopsis Starch Synthase 2 Reveal Post-translational Regulatory Mechanisms. Frontiers in Plant Science. 9. 1338–1338. 9 indexed citations
5.
Tetlow, Ian J. & Michael J. Emes. (2017). Starch Biosynthesis in the Developing Endosperms of Grasses and Cereals. Agronomy. 7(4). 81–81. 75 indexed citations
6.
Minow, Mark A.A., et al.. (2017). Starch as a source, starch as a sink: the bifunctional role of starch in carbon allocation. Journal of Experimental Botany. 68(16). 4433–4453. 273 indexed citations breakdown →
7.
Courseaux, Adeline, Christine Lancelon‐Pin, Jean‐Luc Putaux, et al.. (2015). Expression of Escherichia coli glycogen branching enzyme in an Arabidopsis mutant devoid of endogenous starch branching enzymes induces the synthesis of starch‐like polyglucans. Plant Cell & Environment. 39(7). 1432–1447. 16 indexed citations
8.
Crofts, Naoko, Natsuko Abe, Naoko F. Oitome, et al.. (2015). Amylopectin biosynthetic enzymes from developing rice seed form enzymatically active protein complexes. Journal of Experimental Botany. 66(15). 4469–4482. 117 indexed citations
9.
Liu, Fushan, Qianru Zhao, Zaheer Ahmed, et al.. (2015). Modification of starch metabolism in transgenic Arabidopsis thaliana increases plant biomass and triples oilseed production. Plant Biotechnology Journal. 14(3). 976–985. 18 indexed citations
10.
Bertoft, Eric, et al.. (2014). Evolution of amylopectin structure in developing wheat endosperm starch. Carbohydrate Polymers. 112. 316–324. 22 indexed citations
11.
Makhmoudova, Amina, Declan Williams, Dyanne Brewer, et al.. (2014). Identification of Multiple Phosphorylation Sites on Maize Endosperm Starch Branching Enzyme IIb, a Key Enzyme in Amylopectin Biosynthesis. Journal of Biological Chemistry. 289(13). 9233–9246. 39 indexed citations
12.
Cisek, Richard, Danielle Tokarz, Serguei Krouglov, et al.. (2014). Second Harmonic Generation Mediated by Aligned Water in Starch Granules. The Journal of Physical Chemistry B. 118(51). 1840687821–1840687821. 18 indexed citations
14.
Burrell, Michael M., et al.. (2009). Characterization of plastidial starch phosphorylase in Triticum aestivum L. endosperm. Journal of Plant Physiology. 166(14). 1465–1478. 47 indexed citations
15.
Bowsher, Caroline, et al.. (2007). Characterization of ADP-glucose transport across the cereal endosperm amyloplast envelope. Journal of Experimental Botany. 58(6). 1321–1332. 43 indexed citations
16.
Tetlow, Ian J., et al.. (2003). The Synthesis and Transport of ADPglucose in Cereal Endosperms. Journal of Applied Glycoscience. 50(2). 231–236. 6 indexed citations
17.
Tetlow, Ian J.. (2003). Subcellular localization of ADPglucose pyrophosphorylase in developing wheat endosperm and analysis of the properties of a plastidial isoform. Journal of Experimental Botany. 54(383). 715–725. 72 indexed citations
18.
Emes, Michael J., et al.. (2002). Starch synthesis and carbon partitioning in developing endosperm. Journal of Experimental Botany. 54(382). 569–575. 120 indexed citations
19.
Tetlow, Ian J. & J. F. FARRAR. (1993). Apoplastic Sugar Concentration and pH in Barley Leaves Infected with Brown Rust. Journal of Experimental Botany. 44(5). 929–936. 74 indexed citations
20.
Tetlow, Ian J. & J. F. FARRAR. (1992). Sucrose‐metabolizing enzymes from leaves of barley infected with brown rust (Puccinia hordei Otth.). New Phytologist. 120(4). 475–480. 17 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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