Matthew Zane

890 total citations
12 papers, 250 citations indexed

About

Matthew Zane is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Matthew Zane has authored 12 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Surgery. Recurrent topics in Matthew Zane's work include Microbial Metabolic Engineering and Bioproduction (3 papers), Biofuel production and bioconversion (2 papers) and Bioenergy crop production and management (2 papers). Matthew Zane is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (3 papers), Biofuel production and bioconversion (2 papers) and Bioenergy crop production and management (2 papers). Matthew Zane collaborates with scholars based in United States, United Kingdom and France. Matthew Zane's co-authors include Claude T. Moorman, Thomas L. Wickiewicz, Christopher Daum, Stephen J. Cina, Russell F. Warren, Maria Kyriaki Kaseta, Alicia Clum, Jeremy Schmutz, Bill Andreopoulos and Kerrie Barry and has published in prestigious journals such as PLoS ONE, The Plant Journal and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Matthew Zane

11 papers receiving 248 citations

Peers

Matthew Zane
Thomas M. Charles United States
Eric Tong United States
Michael Giolai United Kingdom
Hui Kim South Korea
Matthew Zane
Citations per year, relative to Matthew Zane Matthew Zane (= 1×) peers María Sanz

Countries citing papers authored by Matthew Zane

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Zane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Zane

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Zane. A scholar is included among the top collaborators of Matthew Zane 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 Zane. Matthew Zane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Lovell, John T., Sujan Mamidi, Jeremy Schmutz, et al.. (2023). Genomic prediction of switchgrass winter survivorship across diverse lowland populations. G3 Genes Genomes Genetics. 13(3). 1 indexed citations
2.
Macaya‐Sanz, David, Ran Zhou, Kerrie Barry, et al.. (2022). High-resolution mapping reveals hotspots and sex-biased recombination in Populus trichocarpa. G3 Genes Genomes Genetics. 13(1). 1 indexed citations
3.
Ryu, Seunghyun, Sajeet Haridas, Hyunsoo Na, et al.. (2020). Draft Genome Assemblies of Ionic Liquid-Resistant Yarrowia lipolytica PO1f and Its Superior Evolved Strain, YlCW001. Microbiology Resource Announcements. 9(9). 6 indexed citations
4.
Fernández‐Pozo, Noé, Fabian B. Haas, Rabea Meyberg, et al.. (2019). PEATmoss (Physcomitrella Expression Atlas Tool): a unified gene expression atlas for the model plant Physcomitrella patens. The Plant Journal. 102(1). 165–177. 56 indexed citations
6.
Kim, Jay W., Susan H. Brawley, Simon Prochnik, et al.. (2016). Genome Analysis of Planctomycetes Inhabiting Blades of the Red Alga Porphyra umbilicalis. PLoS ONE. 11(3). e0151883–e0151883. 30 indexed citations
7.
Singer, Esther, Bill Andreopoulos, Robert M. Bowers, et al.. (2016). Next generation sequencing data of a defined microbial mock community. Scientific Data. 3(1). 160081–160081. 74 indexed citations
8.
Held, Michael, Megan E. Mignemi, Lynda O’Rear, et al.. (2015). Stuffed Animals in the Operating Room. Journal of Pediatric Orthopaedics. 35(8). e110–e112. 2 indexed citations
9.
Toome, Merje, Alan Kuo, Bernard Henrissat, et al.. (2014). Draft Genome Sequence of a Rare Smut Relative, Tilletiaria anomala UBC 951. Genome Announcements. 2(3). 8 indexed citations
10.
Brown, Steven D., Dawn M. Klingeman, Courtney M. Johnson, et al.. (2013). Genome Sequences of Industrially Relevant Saccharomyces cerevisiae Strain M3707, Isolated from a Sample of Distillers Yeast and Four Haploid Derivatives. Genome Announcements. 1(3). 6 indexed citations
11.
Daum, Chris, Nicole Shapiro, Matthew Zane, et al.. (2009). Optimization of the Roche/ 454 and Illumina Production Sequencing Pipelines at the DOE Joint Genome Institute. eScholarship (California Digital Library).
12.
Moorman, Claude T., Matthew Zane, Stephen J. Cina, et al.. (2007). Tibial Insertion of the Posterior Cruciate Ligament: A Sagittal Plane Analysis Using Gross, Histologic, and Radiographic Methods. Arthroscopy The Journal of Arthroscopic and Related Surgery. 24(3). 269–275. 56 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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