John A. Morgan

4.9k total citations
71 papers, 3.7k citations indexed

About

John A. Morgan is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, John A. Morgan has authored 71 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 19 papers in Plant Science and 13 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in John A. Morgan's work include Microbial Metabolic Engineering and Bioproduction (26 papers), Plant biochemistry and biosynthesis (20 papers) and Photosynthetic Processes and Mechanisms (16 papers). John A. Morgan is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (26 papers), Plant biochemistry and biosynthesis (20 papers) and Photosynthetic Processes and Mechanisms (16 papers). John A. Morgan collaborates with scholars based in United States, Germany and Belgium. John A. Morgan's co-authors include Nanette Boyle, Natalia Dudareva, Jamey D. Young, Hanxiao Jiang, David Rhodes, Gregory Stephanopoulos, Joseph H. Lynch, Joshua R. Widhalm, Rohit Jaini and John Patrick O’Grady and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

John A. Morgan

68 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Morgan United States 33 2.8k 893 867 502 371 71 3.7k
Jörg Schwender United States 36 4.2k 1.5× 1.9k 2.1× 623 0.7× 516 1.0× 225 0.6× 58 5.5k
Benoı̂t Schoefs France 40 2.2k 0.8× 1.8k 2.0× 1.7k 2.0× 211 0.4× 313 0.8× 121 4.8k
Christian Triantaphylidès France 35 3.8k 1.4× 3.2k 3.6× 842 1.0× 304 0.6× 309 0.8× 60 6.2k
Dirk Steinhauser Germany 28 3.5k 1.3× 2.5k 2.8× 269 0.3× 291 0.6× 188 0.5× 36 5.2k
Fred Beisson France 37 4.4k 1.6× 4.1k 4.6× 1.6k 1.8× 480 1.0× 202 0.5× 64 7.5k
Joseph Hirschberg Israel 43 5.5k 2.0× 2.2k 2.5× 1.1k 1.3× 118 0.2× 301 0.8× 112 7.4k
Andrew J. Simkin United Kingdom 33 3.0k 1.1× 3.0k 3.3× 331 0.4× 112 0.2× 590 1.6× 63 5.0k
Akira Oikawa Japan 39 2.0k 0.7× 2.1k 2.4× 274 0.3× 123 0.2× 170 0.5× 104 3.6k
Laurent Picot France 34 1.2k 0.4× 341 0.4× 788 0.9× 121 0.2× 123 0.3× 109 3.3k
Miguel G. Guerrero Spain 34 1.9k 0.7× 930 1.0× 2.7k 3.1× 292 0.6× 558 1.5× 95 4.5k

Countries citing papers authored by John A. Morgan

Since Specialization
Citations

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

Fields of papers citing papers by John A. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Morgan. 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 John A. Morgan. The network helps show where John A. Morgan may publish in the future.

Co-authorship network of co-authors of John A. Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Morgan. A scholar is included among the top collaborators of John A. Morgan 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 John A. Morgan. John A. Morgan 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.
Hong, Youngjoon, et al.. (2024). Deep Neural Network for Solving Differential Equations Motivated by Legendre-Galerkin Approximation. 21(5). 652–673. 1 indexed citations
2.
Liao, Pan, Itay Maoz, Ji Hee Lee, et al.. (2023). Emission of floral volatiles is facilitated by cell-wall non-specific lipid transfer proteins. Nature Communications. 14(1). 330–330. 24 indexed citations
3.
Wang, Peng, Longyun Guo, John A. Morgan, Natalia Dudareva, & Clint Chapple. (2022). Transcript and metabolite network perturbations in lignin biosynthetic mutants of Arabidopsis. PLANT PHYSIOLOGY. 190(4). 2828–2846. 16 indexed citations
4.
Widhalm, Joshua R., et al.. (2022). Two-way communication: Volatile emission and uptake occur through the same barriers. Molecular Plant. 16(1). 1–3. 13 indexed citations
5.
Yoo, Heejin, Joseph H. Lynch, Xingqi Huang, et al.. (2021). Overexpression of arogenate dehydratase reveals an upstream point of metabolic control in phenylalanine biosynthesis. The Plant Journal. 108(3). 737–751. 20 indexed citations
6.
Lynch, Joseph H., Yichun Qian, Longyun Guo, et al.. (2020). Modulation of auxin formation by the cytosolic phenylalanine biosynthetic pathway. Nature Chemical Biology. 16(8). 850–856. 37 indexed citations
7.
Guo, Longyun, Peng Wang, Rohit Jaini, et al.. (2018). Dynamic modeling of subcellular phenylpropanoid metabolism in Arabidopsis lignifying cells. Metabolic Engineering. 49. 36–46. 19 indexed citations
8.
Wang, Peng, Longyun Guo, Rohit Jaini, et al.. (2018). A 13C isotope labeling method for the measurement of lignin metabolic flux in Arabidopsis stems. Plant Methods. 14(1). 51–51. 24 indexed citations
9.
Widhalm, Joshua R., Benoît Boachon, François Lefèvre, et al.. (2017). Emission of volatile organic compounds from petunia flowers is facilitated by an ABC transporter. Science. 356(6345). 1386–1388. 206 indexed citations
10.
Boyle, Nanette, et al.. (2017). Metabolic flux analysis of heterotrophic growth in Chlamydomonas reinhardtii. PLoS ONE. 12(5). e0177292–e0177292. 41 indexed citations
11.
Tissier, Alain, John A. Morgan, & Natalia Dudareva. (2017). Plant Volatiles: Going ‘In’ but not ‘Out’ of Trichome Cavities. Trends in Plant Science. 22(11). 930–938. 100 indexed citations
12.
Widhalm, Joshua R., Rohit Jaini, John A. Morgan, & Natalia Dudareva. (2015). Rethinking how volatiles are released from plant cells. Trends in Plant Science. 20(9). 545–550. 153 indexed citations
13.
Wang, Peng, Natalia Dudareva, John A. Morgan, & Clint Chapple. (2015). Genetic manipulation of lignocellulosic biomass for bioenergy. Current Opinion in Chemical Biology. 29. 32–39. 47 indexed citations
14.
O’Grady, John Patrick, et al.. (2013). Isotopically Nonstationary MFA (INST-MFA) of Autotrophic Metabolism. Methods in molecular biology. 1090. 181–210. 31 indexed citations
15.
Marshall‐Colón, Amy, et al.. (2010). A kinetic model describes metabolic response to perturbations and distribution of flux control in the benzenoid network ofPetunia hybrida. The Plant Journal. 62(1). 64–76. 42 indexed citations
16.
Morgan, John A., et al.. (2010). Metabolic flux analysis of CHO cell metabolism in the late non‐growth phase. Biotechnology and Bioengineering. 108(1). 82–92. 102 indexed citations
17.
Young, Jamey D., et al.. (2008). Integrating cybernetic modeling with pathway analysis provides a dynamic, systems‐level description of metabolic control. Biotechnology and Bioengineering. 100(3). 542–559. 49 indexed citations
18.
Morgan, John A. & Douglas S. Clark. (2003). Salt‐activation of nonhydrolase enzymes for use in organic solvents. Biotechnology and Bioengineering. 85(4). 456–459. 15 indexed citations
19.
Morgan, John A., et al.. (2003). Production of C35 isoprenoids depends on H2 availability during cultivation of the hyperthermophile Methanococcus jannaschii. Extremophiles. 8(1). 13–21. 13 indexed citations
20.
Morgan, John A., et al.. (1981). Adjustment of Meteosat-1 radiometer response by ground processing. 5(4). 305–320. 8 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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