Matthew D. Smith

5.3k total citations
63 papers, 2.1k citations indexed

About

Matthew D. Smith is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Matthew D. Smith has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Plant Science. Recurrent topics in Matthew D. Smith's work include Photosynthetic Processes and Mechanisms (23 papers), Mitochondrial Function and Pathology (20 papers) and Adipose Tissue and Metabolism (11 papers). Matthew D. Smith is often cited by papers focused on Photosynthetic Processes and Mechanisms (23 papers), Mitochondrial Function and Pathology (20 papers) and Adipose Tissue and Metabolism (11 papers). Matthew D. Smith collaborates with scholars based in Canada, United States and Switzerland. Matthew D. Smith's co-authors include Danny J. Schnell, Masoud Jelokhani‐Niaraki, John E. Thompson, Carol D. Froese, Yuwen Hong, Tuan Hoang, Lynda Fitzpatrick, Lynn G.L. Richardson, Michael D. Best and Andreas Hiltbrunner and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Matthew D. Smith

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew D. Smith Canada 25 1.7k 678 221 202 184 63 2.1k
Sabine Brugière France 24 2.0k 1.2× 648 1.0× 244 1.1× 566 2.8× 161 0.9× 49 2.6k
Elisabetta Bergantino Italy 25 1.2k 0.7× 385 0.6× 47 0.2× 208 1.0× 223 1.2× 59 2.0k
Paulette Decottignies France 37 2.9k 1.7× 643 0.9× 396 1.8× 361 1.8× 196 1.1× 80 3.4k
Mirko Zaffagnini Italy 36 2.9k 1.7× 1.2k 1.7× 419 1.9× 397 2.0× 145 0.8× 68 3.7k
Brigitte Ksas France 22 1.3k 0.8× 1.2k 1.8× 72 0.3× 169 0.8× 90 0.5× 41 2.0k
Birgitta Norling Sweden 26 2.3k 1.4× 212 0.3× 156 0.7× 861 4.3× 135 0.7× 60 2.7k
Shôzaburo Kitaoka Japan 23 1.2k 0.7× 360 0.5× 171 0.8× 529 2.6× 136 0.7× 156 1.9k
Roderich Brandsch Germany 26 1.4k 0.8× 157 0.2× 256 1.2× 128 0.6× 74 0.4× 79 1.9k
Thomas Nägele Germany 29 1.7k 1.0× 1.8k 2.6× 80 0.4× 67 0.3× 313 1.7× 74 3.1k
Satoshi Sano Japan 23 2.0k 1.2× 1.2k 1.8× 37 0.2× 187 0.9× 99 0.5× 60 3.0k

Countries citing papers authored by Matthew D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Smith. A scholar is included among the top collaborators of Matthew D. Smith 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 Matthew D. Smith. Matthew D. Smith 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.
2.
Smith, Matthew D., et al.. (2016). Insights into cellulase‐lignin non‐specific binding revealed by computational redesign of the surface of green fluorescent protein. Biotechnology and Bioengineering. 114(4). 740–750. 23 indexed citations
3.
Lung, Shiu‐Cheung, Matthew D. Smith, & Simon D. X. Chuong. (2015). Isolation of Chloroplasts from Plant Protoplasts. Cold Spring Harbor Protocols. 2015(10). pdb.prot074559–pdb.prot074559. 5 indexed citations
4.
Yan, J., James H. Campbell, Bernard R. Glick, Matthew D. Smith, & Yan Liang. (2014). Molecular Characterization and Expression Analysis of Chloroplast Protein Import Components in Tomato (Solanum lycopersicum). PLoS ONE. 9(4). e95088–e95088. 13 indexed citations
5.
Smith, Matthew D., et al.. (2014). Computational Design of Novel Enzymes Without Cofactors. Methods in molecular biology. 1216. 197–210. 4 indexed citations
6.
Richardson, Lynn G.L., et al.. (2014). Targeting and assembly of components of the TOC protein import complex at the chloroplast outer envelope membrane. Frontiers in Plant Science. 5. 269–269. 33 indexed citations
7.
Hoang, Tuan, Matthew D. Smith, & Masoud Jelokhani‐Niaraki. (2013). Expression, Folding, and Proton Transport Activity of Human Uncoupling Protein-1 (UCP1) in Lipid Membranes. Journal of Biological Chemistry. 288(51). 36244–36258. 37 indexed citations
8.
Althoff, Eric A., Ling Wang, Lin Jiang, et al.. (2012). Robust design and optimization of retroaldol enzymes. Protein Science. 21(5). 717–726. 137 indexed citations
9.
Smith, Matthew D. & Masoud Jelokhani‐Niaraki. (2012). pH-Induced Changes in Intrinsically Disordered Proteins. Methods in molecular biology. 896. 223–231. 6 indexed citations
10.
Hoang, Tuan, Matthew D. Smith, & Masoud Jelokhani‐Niaraki. (2011). Conformation and Ion Transport of Neuronal Uncoupling Proteins. Biophysical Journal. 100(3). 358a–358a.
11.
Eiben, Christopher B., John H. Carra, Ivan Huang, et al.. (2011). Improvement of a Potential Anthrax Therapeutic by Computational Protein Design. Journal of Biological Chemistry. 286(37). 32586–32592. 10 indexed citations
12.
Smith, Matthew D., et al.. (2011). Membrane labeling and immobilization viacopper-free click chemistry. Chemical Communications. 48(10). 1431–1433. 20 indexed citations
13.
Dhanoa, Preetinder K., Lynn G.L. Richardson, Matthew D. Smith, et al.. (2010). Distinct Pathways Mediate the Sorting of Tail-Anchored Proteins to the Plastid Outer Envelope. PLoS ONE. 5(4). e10098–e10098. 58 indexed citations
14.
Smith, Matthew D., et al.. (2009). Modular synthesis of biologically active phosphatidic acid probes using click chemistry. Molecular BioSystems. 5(9). 962–972. 22 indexed citations
15.
Held, Mark, et al.. (2008). The Pea Nodulation Mutant R50 (sym16) Displays Altered Activity and Expression Profiles for Cytokinin Dehydrogenase. Journal of Plant Growth Regulation. 27(2). 170–180. 11 indexed citations
16.
Hopkins, Marianne T, Tzann‐Wei Wang, Maisie Lo, et al.. (2007). Characterization of a Plastid Triacylglycerol Lipase from Arabidopsis. PLANT PHYSIOLOGY. 143(3). 1372–1384. 62 indexed citations
17.
Smith, Matthew D., et al.. (2004). Members of the Toc159 Import Receptor Family Represent Distinct Pathways for Protein Targeting to Plastids. Molecular Biology of the Cell. 15(7). 3379–3392. 165 indexed citations
18.
Smith, Matthew D. & Danny J. Schnell. (2001). Peroxisomal Protein Import. Cell. 105(3). 293–296. 28 indexed citations
19.
Christensen, P. R., J. L. Bandfield, R. N. Clark, et al.. (1999). The Composition of Martian Surface Materials: Mars Global Surveyor Thermal Emission Spectrometer Observations. LPI. 1461. 10 indexed citations
20.
Thompson, John E., et al.. (1998). Lipid metabolism during plant senescence. Progress in Lipid Research. 37(2-3). 119–141. 228 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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