Matthew Metz

1.3k total citations · 1 hit paper
15 papers, 960 citations indexed

About

Matthew Metz is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Matthew Metz has authored 15 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Infectious Diseases. Recurrent topics in Matthew Metz's work include CRISPR and Genetic Engineering (5 papers), Genetically Modified Organisms Research (5 papers) and Insect Resistance and Genetics (3 papers). Matthew Metz is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Genetically Modified Organisms Research (5 papers) and Insect Resistance and Genetics (3 papers). Matthew Metz collaborates with scholars based in United States, Switzerland and United Kingdom. Matthew Metz's co-authors include Brian J. Staskawicz, Michael J. Daniels, Jane E. Parker, Eric B. Holub, Anne M. Thomson, Johannes Fütterer, Linda S. Thomashow, Milton P. Gordon, Bassem Al‐Sady and Douglas Dahlbeck and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

Matthew Metz

14 papers receiving 911 citations

Hit Papers

Different requirements for EDS1 and NDR1 by disease resis... 1998 2026 2007 2016 1998 200 400 600

Peers

Matthew Metz
Comparison fields: 5 of 81
  • Plant Science 790
  • Molecular Biology 295
  • Insect Science 63
  • Cell Biology 49
  • Biotechnology 42
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F Waliyar India
Belinda Clarke United Kingdom
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Citations per field, relative to Matthew Metz
Matthew Metz · 1×
Citations per year, relative to Matthew Metz
Matthew Metz · 1×

Countries citing papers authored by Matthew Metz

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Metz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Metz

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 20
3 2
4 4
5 70
6
Research Opportunities in Food and Agriculture Microbiology
4
7
Bacillus thuringiensis: A Cornerstone of Modern Agriculture
11
8 29
9 47
10 1
11
100 Years of Bacillus thuringiensis: A Critical Scientific Assessment
62
12 2
13 3
14
Different requirements for EDS1 and NDR1 by disease resistance genes define at least two R gene-mediated signaling pathways in Arabidopsis breakdown →
626
15
Implications of economic policy for food security: A training manual
79

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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