Clint Chapple

20.5k total citations · 6 hit papers
132 papers, 14.8k citations indexed

About

Clint Chapple is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Clint Chapple has authored 132 papers receiving a total of 14.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 46 papers in Plant Science and 37 papers in Biomedical Engineering. Recurrent topics in Clint Chapple's work include Plant Gene Expression Analysis (81 papers), Plant biochemistry and biosynthesis (36 papers) and Biochemical and biochemical processes (31 papers). Clint Chapple is often cited by papers focused on Plant Gene Expression Analysis (81 papers), Plant biochemistry and biosynthesis (36 papers) and Biochemical and biochemical processes (31 papers). Clint Chapple collaborates with scholars based in United States, Canada and Germany. Clint Chapple's co-authors include Jing‐Ke Weng, Nicholas D. Bonawitz, John M. Humphreys, Xu Li, Christopher M. Fraser, Max O. Ruegger, John Ralph, Knut Meyer, Matthew R. Hemm and Joanne C. Cusumano and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Clint Chapple

132 papers receiving 14.5k citations

Hit Papers

Formaldehyde stabilizatio... 1995 2026 2005 2015 2016 2011 2010 2010 1995 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Clint Chapple 9.4k 7.0k 5.5k 2.4k 954 132 14.8k
Catherine Lapierre 6.7k 0.7× 6.5k 0.9× 5.9k 1.1× 1.9k 0.8× 1.5k 1.5× 157 12.6k
Fachuang Lu 4.8k 0.5× 3.8k 0.5× 7.6k 1.4× 2.1k 0.9× 1.7k 1.8× 115 10.6k
Kris Morreel 5.3k 0.6× 4.5k 0.6× 3.6k 0.6× 1.3k 0.5× 888 0.9× 68 8.7k
Hoon Kim 4.7k 0.5× 4.0k 0.6× 7.7k 1.4× 2.3k 1.0× 1.5k 1.6× 115 10.9k
Henrik Vibe Scheller 9.1k 1.0× 9.6k 1.4× 3.8k 0.7× 1.0k 0.4× 1.2k 1.2× 255 16.2k
Ana Gutiérrez 3.2k 0.3× 5.9k 0.8× 7.2k 1.3× 3.0k 1.3× 1.7k 1.8× 233 12.3k
Stephen C. Fry 5.9k 0.6× 14.9k 2.1× 3.0k 0.5× 2.2k 0.9× 2.6k 2.7× 269 17.8k
Wout Boerjan 15.0k 1.6× 14.9k 2.1× 10.7k 1.9× 3.7k 1.6× 2.2k 2.3× 239 27.3k
Ruben Vanholme 4.2k 0.4× 3.8k 0.5× 4.4k 0.8× 1.3k 0.5× 781 0.8× 67 8.1k
Nicholas C. Carpita 5.0k 0.5× 11.6k 1.7× 2.7k 0.5× 1.1k 0.5× 2.5k 2.7× 155 14.7k

Countries citing papers authored by Clint Chapple

Since Specialization
Citations

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

Fields of papers citing papers by Clint Chapple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clint Chapple

This figure shows the co-authorship network connecting the top 25 collaborators of Clint Chapple. A scholar is included among the top collaborators of Clint Chapple 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 Clint Chapple. Clint Chapple 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.
Li, Qin‐Bao, K. W. Roy, Gilles J. Basset, et al.. (2025). The airborne herbivore‐induced plant volatile indole is converted to benzoxazinoid defense compounds in maize plants. New Phytologist. 246(2). 718–728. 1 indexed citations
2.
Pysh, Leonard D., Hoon Kim, John Ralph, et al.. (2023). Pinoresinol rescues developmental phenotypes of Arabidopsis phenylpropanoid mutants overexpressing FERULATE 5-HYDROXYLASE. Proceedings of the National Academy of Sciences. 120(31). e2216543120–e2216543120. 8 indexed citations
3.
Chen, Han‐Yi, Xin Li, Xin Li, et al.. (2023). UGT76F1 glycosylates an isomer of the C7‐necic acid component of pyrrolizidine alkaloids in Arabidopsis thaliana. The Plant Journal. 115(1). 97–107. 1 indexed citations
4.
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
5.
Kim, Hoon, et al.. (2022). H-lignin can be deposited independently of CINNAMYL ALCOHOL DEHYDROGENASE C and D in Arabidopsis. PLANT PHYSIOLOGY. 189(4). 2015–2028. 12 indexed citations
6.
7.
Xu, Lan, Xin Ma, Huaming Sheng, et al.. (2021). Fast Determination of the Lignin Monomer Compositions of Genetic Variants of Poplar via Fast Pyrolysis/Atmospheric Pressure Chemical Ionization Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 32(10). 2546–2551. 5 indexed citations
8.
Kim, Jeongim, et al.. (2021). Spatio-temporal control of phenylpropanoid biosynthesis by inducible complementation of a cinnamate 4-hydroxylase mutant. Journal of Experimental Botany. 72(8). 3061–3073. 42 indexed citations
10.
11.
Kim, Jeongim, Xuebin Zhang, Pete E. Pascuzzi, Chang‐Jun Liu, & Clint Chapple. (2019). Glucosinolate and phenylpropanoid biosynthesis are linked by proteasome‐dependent degradation of PAL. New Phytologist. 225(1). 154–168. 77 indexed citations
12.
Chapple, Clint, et al.. (2018). Transcriptome Analysis of Four Arabidopsis thaliana Mediator Tail Mutants Reveals Overlapping and Unique Functions in Gene Regulation. G3 Genes Genomes Genetics. 8(9). 3093–3108. 17 indexed citations
13.
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
14.
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
15.
Dilkes, Brian P., et al.. (2017). Mediator Complex Subunits MED2, MED5, MED16, and MED23 Genetically Interact in the Regulation of Phenylpropanoid Biosynthesis. The Plant Cell. 29(12). 3269–3285. 49 indexed citations
16.
Lee, Shin-Young, Huaping Mo, Jeongim Kim, & Clint Chapple. (2017). Genetic engineering of Arabidopsis to overproduce disinapoyl esters, potential lignin modification molecules. Biotechnology for Biofuels. 10(1). 40–40. 11 indexed citations
17.
Kim, Jeongim, et al.. (2015). Indole Glucosinolate Biosynthesis Limits Phenylpropanoid Accumulation in Arabidopsis thaliana. The Plant Cell. 27(5). 1529–1546. 93 indexed citations
18.
Weng, Jing‐Ke, Yi Li, Huaping Mo, & Clint Chapple. (2012). Assembly of an Evolutionarily New Pathway for α-Pyrone Biosynthesis in Arabidopsis. Science. 337(6097). 960–964. 76 indexed citations
19.
Hemm, Matthew R., Max O. Ruegger, & Clint Chapple. (2002). The Arabidopsis ref2 Mutant Is Defective in the Gene Encoding CYP83A1 and Shows Both Phenylpropanoid and Glucosinolate Phenotypes. The Plant Cell. 15(1). 179–194. 158 indexed citations
20.
Chapple, Clint, et al.. (1994). 36 Secondary Metabolism in Arabidopsis. Cold Spring Harbor Monograph Archive. 27. 989–1030. 14 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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