Michael J. Emes

5.6k total citations · 2 hit papers
80 papers, 4.2k citations indexed

About

Michael J. Emes is a scholar working on Plant Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Michael J. Emes has authored 80 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 31 papers in Nutrition and Dietetics and 27 papers in Molecular Biology. Recurrent topics in Michael J. Emes's work include Food composition and properties (30 papers), Plant nutrient uptake and metabolism (25 papers) and Phytase and its Applications (20 papers). Michael J. Emes is often cited by papers focused on Food composition and properties (30 papers), Plant nutrient uptake and metabolism (25 papers) and Phytase and its Applications (20 papers). Michael J. Emes collaborates with scholars based in United Kingdom, Canada and Australia. Michael J. Emes's co-authors include Ian J. Tetlow, H. Ekkehard Neuhaus, Caroline Bowsher, Fushan Liu, Matthew K. Morell, Michael Fowler, Robin Wait, D. P. Hucklesby, Phillip Debnam and Jenelle A. Patterson 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

Michael J. Emes

80 papers receiving 4.1k citations

Hit Papers

NONPHOTOSYNTHETICMETABOLISM INPLASTIDS 2000 2026 2008 2017 2000 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Emes United Kingdom 35 2.7k 1.7k 1.5k 508 503 80 4.2k
Leszek A. Kleczkowski Sweden 41 3.3k 1.2× 671 0.4× 2.4k 1.6× 735 1.4× 332 0.7× 117 4.8k
Ian J. Tetlow Canada 32 2.4k 0.9× 2.3k 1.4× 598 0.4× 612 1.2× 674 1.3× 58 3.7k
B. J. Miflin United Kingdom 39 4.5k 1.6× 666 0.4× 2.1k 1.4× 377 0.7× 143 0.3× 120 5.7k
Axel Tiessen Mexico 30 2.5k 0.9× 607 0.4× 1.4k 1.0× 230 0.5× 223 0.4× 60 3.5k
Arnd G. Heyer Germany 39 4.0k 1.5× 845 0.5× 2.3k 1.5× 216 0.4× 127 0.3× 80 5.2k
Takashi Akazawa Japan 34 1.8k 0.6× 604 0.4× 2.0k 1.4× 608 1.2× 204 0.4× 131 3.6k
Kazuhiko Nishitani Japan 42 5.1k 1.9× 698 0.4× 2.4k 1.6× 534 1.1× 989 2.0× 105 5.7k
Jong‐Seong Jeon South Korea 53 7.7k 2.8× 701 0.4× 4.4k 2.9× 382 0.8× 352 0.7× 191 8.9k
Bernd Müller‐Röber Germany 31 2.9k 1.1× 427 0.3× 1.5k 1.0× 238 0.5× 131 0.3× 46 3.6k
Benjamin J. Miflin United States 35 2.6k 0.9× 499 0.3× 1.5k 1.0× 231 0.5× 68 0.1× 54 3.5k

Countries citing papers authored by Michael J. Emes

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Emes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Emes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Emes. A scholar is included among the top collaborators of Michael J. Emes 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 Michael J. Emes. Michael J. Emes 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
2.
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
3.
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 →
4.
Klingel, Shannon L., et al.. (2016). Resistant Starch Bagels Reduce Fasting and Postprandial Insulin in Adults at Risk of Type 2 Diabetes. Journal of Nutrition. 146(11). 2252–2259. 66 indexed citations
5.
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
6.
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
7.
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
8.
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
9.
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
10.
Zhu, Fan, et al.. (2014). Structure of Arabidopsis leaf starch is markedly altered following nocturnal degradation. Carbohydrate Polymers. 117. 1002–1013. 10 indexed citations
11.
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
12.
Liu, Fushan, Amina Makhmoudova, E. A. Lee, et al.. (2009). The amylose extender mutant of maize conditions novel protein-protein interactions between starch biosynthetic enzymes in amyloplasts. Journal of Experimental Botany. 60(15). 4423–4440. 124 indexed citations
13.
Bowsher, Caroline, et al.. (2007). The effect of Glc6P uptake and its subsequent oxidation within pea root plastids on nitrite reduction and glutamate synthesis. Journal of Experimental Botany. 58(5). 1109–1118. 46 indexed citations
14.
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.
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.
Bowsher, Caroline, B. Dunbar, & Michael J. Emes. (1993). The Purification and Properties of Ferredoxin-NADP+-Oxidoreductase from Roots of Pisum sativum L.. Protein Expression and Purification. 4(6). 512–518. 13 indexed citations
20.
Emes, Michael J. & Michael Fowler. (1979). The intracellular location of the enzymes of nitrate assimilation in the apices of seedling pea roots. Planta. 144(3). 249–253. 62 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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