Jonathan D. Monroe

1.2k total citations
25 papers, 809 citations indexed

About

Jonathan D. Monroe is a scholar working on Plant Science, Biotechnology and Nutrition and Dietetics. According to data from OpenAlex, Jonathan D. Monroe has authored 25 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Biotechnology and 7 papers in Nutrition and Dietetics. Recurrent topics in Jonathan D. Monroe's work include Enzyme Production and Characterization (14 papers), Phytase and its Applications (8 papers) and Food composition and properties (6 papers). Jonathan D. Monroe is often cited by papers focused on Enzyme Production and Characterization (14 papers), Phytase and its Applications (8 papers) and Food composition and properties (6 papers). Jonathan D. Monroe collaborates with scholars based in United States, Switzerland and United Kingdom. Jonathan D. Monroe's co-authors include Amanda R. Storm, Jack Preiss, Richard D. Sjölund, Samuel C. Zeeman, Christopher Berndsen, Elizabeth A. Doyle, Mary Beth Mudgett, Elizabeth M. Badley, Julien Boudet and Tina B. Schreier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and Biochemistry.

In The Last Decade

Jonathan D. Monroe

24 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan D. Monroe United States 12 620 247 237 226 85 25 809
André Decq France 10 372 0.6× 252 1.0× 289 1.2× 501 2.2× 153 1.8× 10 959
Michaela Stettler Switzerland 7 518 0.8× 107 0.4× 261 1.1× 234 1.0× 58 0.7× 7 704
Genichi Kakefuda United States 14 545 0.9× 178 0.7× 294 1.2× 214 0.9× 38 0.4× 14 776
Nora Eckermann Germany 12 641 1.0× 182 0.7× 273 1.2× 424 1.9× 82 1.0× 17 911
Nathalie Libessart United States 9 255 0.4× 204 0.8× 159 0.7× 322 1.4× 98 1.2× 11 576
Sylvain Dumez France 11 394 0.6× 101 0.4× 136 0.6× 268 1.2× 85 1.0× 15 626
Tine Hoff Denmark 12 402 0.6× 162 0.7× 304 1.3× 53 0.2× 110 1.3× 20 618
David Delvallé France 8 546 0.9× 199 0.8× 167 0.7× 568 2.5× 168 2.0× 11 834
María Teresa Sesma Spain 13 598 1.0× 58 0.2× 298 1.3× 110 0.5× 50 0.6× 18 794
Ángela María Sánchez‐López Spain 16 600 1.0× 35 0.1× 217 0.9× 126 0.6× 71 0.8× 30 766

Countries citing papers authored by Jonathan D. Monroe

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D. Monroe

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Monroe. A scholar is included among the top collaborators of Jonathan D. Monroe 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 Jonathan D. Monroe. Jonathan D. Monroe 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.
Berndsen, Christopher, et al.. (2025). The Pseudoenzyme β‐Amylase9 From Arabidopsis Activates α‐Amylase3: A Possible Mechanism to Promote Stress‐Induced Starch Degradation. Proteins Structure Function and Bioinformatics. 93(6). 1189–1201.
2.
Monroe, Jonathan D., et al.. (2024). Potassium cations expand the conformation ensemble of Arabidopsis thaliana β-amylase2 (BAM2). PubMed. 2024. 1 indexed citations
3.
Monroe, Jonathan D., et al.. (2022). The BAM7 gene in Zea mays encodes a protein with similar structural and catalytic properties to Arabidopsis BAM2. Acta Crystallographica Section D Structural Biology. 78(5). 560–570. 5 indexed citations
4.
Monroe, Jonathan D., et al.. (2020). Solution structure and assembly of β-amylase 2 fromArabidopsis thaliana. Acta Crystallographica Section D Structural Biology. 76(4). 357–365. 6 indexed citations
5.
Monroe, Jonathan D., et al.. (2020). A Continuous Fluorescent Assay for β‐Amylase Activity. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
6.
7.
Monroe, Jonathan D. & Amanda R. Storm. (2018). Review: The Arabidopsis β-amylase (BAM) gene family: Diversity of form and function. Plant Science. 276. 163–170. 72 indexed citations
8.
Monroe, Jonathan D., et al.. (2018). Quaternary Structure, Salt Sensitivity, and Allosteric Regulation of β-AMYLASE2 From Arabidopsis thaliana. Frontiers in Plant Science. 9. 1176–1176. 11 indexed citations
9.
Seung, David, Julien Boudet, Jonathan D. Monroe, et al.. (2017). Homologs of PROTEIN TARGETING TO STARCH Control Starch Granule Initiation in Arabidopsis Leaves. The Plant Cell. 29(7). 1657–1677. 103 indexed citations
10.
11.
Temple, Louise, Steven G. Cresawn, & Jonathan D. Monroe. (2010). Genomics and bioinformatics in undergraduate curricula: Contexts for hybrid laboratory/lecture courses for entering and advanced science students. Biochemistry and Molecular Biology Education. 38(1). 23–28. 9 indexed citations
12.
Doyle, Elizabeth A., et al.. (2007). An α‐amylase (At4g25000) in Arabidopsis leaves is secreted and induced by biotic and abiotic stress. Plant Cell & Environment. 30(4). 388–398. 64 indexed citations
13.
Monroe, Jonathan D., et al.. (2003). Antisense Arabidopsis plants indicate that an apoplastic α-xylosidase and α-glucosidase are encoded by the same gene. Plant Physiology and Biochemistry. 41(10). 877–885. 9 indexed citations
14.
Pike, Carl S., William S. Cohen, & Jonathan D. Monroe. (2002). Nitrate reductase: A model system for the investigation of enzyme induction in eukaryotes. Biochemistry and Molecular Biology Education. 30(2). 111–116. 7 indexed citations
15.
Monroe, Jonathan D., et al.. (1995). Identification and Characterization of a Phloem-Specific [beta]-Amylase. PLANT PHYSIOLOGY. 109(3). 743–750. 84 indexed citations
16.
Monroe, Jonathan D., et al.. (1991). Nucleotide Sequence of a cDNA Clone Encoding a β-Amylase from Arabidopsis thaliana. PLANT PHYSIOLOGY. 97(4). 1599–1601. 43 indexed citations
17.
Monroe, Jonathan D. & Jack Preiss. (1990). Purification of a β-Amylase that Accumulates in Arabidopsis thaliana Mutants Defective in Starch Metabolism. PLANT PHYSIOLOGY. 94(3). 1033–1039. 43 indexed citations
18.
Monroe, Jonathan D., Thomas G. Owens, & Thomas A. LaRue. (1989). Measurement of the Fractional Oxygenation of Leghemoglobin in Intact Detached Pea Nodules by Reflectance Spectroscopy. PLANT PHYSIOLOGY. 91(2). 598–602. 10 indexed citations
19.
Monroe, Jonathan D. & Thomas A. LaRue. (1989). Effects of Carbohydrate on the Internal Oxygen Concentration, Oxygen Uptake, and Nitrogenase Activity in Detached Pea Nodules. PLANT PHYSIOLOGY. 91(2). 603–609. 7 indexed citations
20.
Caspar, Timothy, Tsan‐Piao Lin, Jonathan D. Monroe, et al.. (1989). Altered regulation of β-amylase activity in mutants of Arabidopsis with lesions in starch metabolism. Proceedings of the National Academy of Sciences. 86(15). 5830–5833. 46 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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