Frank N. Martin

7.7k total citations
119 papers, 4.9k citations indexed

About

Frank N. Martin is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Frank N. Martin has authored 119 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Plant Science, 71 papers in Cell Biology and 37 papers in Molecular Biology. Recurrent topics in Frank N. Martin's work include Plant Pathogens and Resistance (81 papers), Plant Pathogens and Fungal Diseases (71 papers) and Plant Disease Resistance and Genetics (48 papers). Frank N. Martin is often cited by papers focused on Plant Pathogens and Resistance (81 papers), Plant Pathogens and Fungal Diseases (71 papers) and Plant Disease Resistance and Genetics (48 papers). Frank N. Martin collaborates with scholars based in United States, Ireland and Canada. Frank N. Martin's co-authors include Paul W. Tooley, Michael D. Coffey, S. T. Koike, Guillaume J. Bilodeau, Joyce E. Loper, Timothy D. Miles, C. L. Blomquist, Jaime E. Blair, Kelly Ivors and Krishna V. Subbarao and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Frank N. Martin

114 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank N. Martin United States 39 4.6k 2.9k 1.6k 246 181 119 4.9k
C. André Lévesque Canada 39 4.9k 1.1× 3.1k 1.1× 1.8k 1.1× 389 1.6× 454 2.5× 115 5.8k
A. Drenth Australia 35 4.7k 1.0× 3.1k 1.1× 1.7k 1.1× 54 0.2× 264 1.5× 175 5.1k
Arthur W. A. M. de Cock Netherlands 28 2.9k 0.6× 2.2k 0.8× 1.3k 0.8× 620 2.5× 265 1.5× 56 3.6k
Lisa A. Castlebury United States 39 4.4k 1.0× 4.0k 1.4× 2.0k 1.2× 56 0.2× 328 1.8× 148 5.4k
G.J.M. Verkley Netherlands 27 3.2k 0.7× 3.1k 1.1× 1.3k 0.8× 73 0.3× 238 1.3× 77 3.8k
David E. L. Cooke United Kingdom 42 5.5k 1.2× 3.8k 1.3× 2.6k 1.6× 47 0.2× 361 2.0× 133 5.9k
Jack D. Rogers United States 33 3.5k 0.8× 3.7k 1.3× 1.5k 1.0× 105 0.4× 271 1.5× 229 4.5k
Gerald L. Benny United States 21 2.1k 0.5× 1.4k 0.5× 661 0.4× 191 0.8× 200 1.1× 87 2.8k
TJ White United States 6 1.9k 0.4× 1.3k 0.5× 972 0.6× 63 0.3× 302 1.7× 7 2.9k
H. H. Geiger Germany 40 4.6k 1.0× 1.3k 0.5× 874 0.6× 37 0.2× 144 0.8× 136 5.3k

Countries citing papers authored by Frank N. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Frank N. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank N. Martin. 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 Frank N. Martin. The network helps show where Frank N. Martin may publish in the future.

Co-authorship network of co-authors of Frank N. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Frank N. Martin. A scholar is included among the top collaborators of Frank N. Martin 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 Frank N. Martin. Frank N. Martin 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.
Magney, Troy S., et al.. (2025). Strawberry fruit yield forecasting using image-based time-series plant phenological stages sequences. Computers and Electronics in Agriculture. 237. 110516–110516.
2.
Martin, Frank N., Özgur Batuman, Douglas G. Luster, et al.. (2025). How Controls Improve Diagnostic Assay Performance: Hitchhiker's Guide to Diagnostic Assay Controls. SHILAP Revista de lepidopterología. 5(2). 127–137.
3.
Neugebauer, Kerri A., Carrie L. Harmon, J. M. Byrne, et al.. (2025). Validation of a Rapid, High-Throughput Isothermal Recombinase Polymerase Amplification Screening Assay for Phytophthora ramorum. PhytoFrontiers™. 5(2). 220–228.
4.
Richardson, Kelley L., Alexander I. Putman, Nicholas LeBlanc, et al.. (2024). Detection of novel pathogenic variants of Fusarium oxysporum f. sp. lactucae in California. Plant Pathology. 74(2). 295–307. 1 indexed citations
5.
Turini, Thomas A., et al.. (2024). First Report of Fusarium falciforme Causing Root and Stem Rot in Cowpea (syn. Black-Eyed Pea; Vigna unguiculata) in California. Plant Disease. 108(12). 3651–3651. 1 indexed citations
7.
Foster, Zachary, Felipe E. Albornoz, Valerie J. Fieland, et al.. (2022). A New Oomycete Metabarcoding Method Using the rps10 Gene. Phytobiomes Journal. 6(3). 214–226. 17 indexed citations
8.
Martin, Frank N., et al.. (2022). A Reference Genome Sequence Resource for the Sugar Beet Root Rot Pathogen Aphanomyces cochlioides. Molecular Plant-Microbe Interactions. 35(8). 706–710. 1 indexed citations
9.
10.
Crandall, Sharifa G., Alyssa Burkhardt, Nanci Adair, et al.. (2021). A Multiplex TaqMan qPCR Assay for Detection and Quantification of Clade 1 and Clade 2 Isolates of Pseudoperonospora cubensis and Pseudoperonospora humuli. Plant Disease. 105(10). 3154–3161. 12 indexed citations
11.
Martin, Frank N., et al.. (2020). RPA-PCR Couple: an Approach to Expedite Plant Diagnostics and Overcome PCR Inhibitors. BioTechniques. 69(4). 270–280. 19 indexed citations
12.
Miles, Timothy D., et al.. (2020). Validation of a Preformulated, Field Deployable, Recombinase Polymerase Amplification Assay for Phytophthora Species. Plants. 9(4). 466–466. 19 indexed citations
13.
Martin, Frank N., et al.. (2020). Development and evaluation of a recombinase polymerase amplification assay for rapid detection of strawberry red stele pathogen. Phytopathology Research. 2(1). 6 indexed citations
14.
Burkhardt, Alyssa, et al.. (2019). Assembly, annotation, and comparison of Macrophomina phaseolina isolates from strawberry and other hosts. BMC Genomics. 20(1). 802–802. 19 indexed citations
15.
Martin, Frank N., Felipe E. Albornoz, Zachary Foster, et al.. (2019). The rps10 gene as a new barcode locus for oomycetes and its utility in metagenomics studies of environmental samples. Murdoch Research Repository (Murdoch University). 1 indexed citations
16.
Burkhardt, Alyssa, Peter M. Henry, S. T. Koike, Thomas R. Gordon, & Frank N. Martin. (2018). Detection ofFusarium oxysporumf. sp.fragariaefrom Infected Strawberry Plants. Plant Disease. 103(5). 1006–1013. 35 indexed citations
17.
Burkhardt, Alyssa, et al.. (2018). Development of Molecular Methods to Detect Macrophomina phaseolina from Strawberry Plants and Soil. Phytopathology. 108(12). 1386–1394. 28 indexed citations
18.
Fennimore, Steven A., J. M. Duniway, Greg T. Browne, et al.. (2008). Methyl bromide alternatives evaluated. California Agriculture. 62(2). 3 indexed citations
19.
Martin, Frank N., Douda Bensasson, Brett M. Tyler, & Jeffrey L. Boore. (2007). Mitochondrial genome sequences and comparative genomics of Phytophthora ramorum and P. \nsojae. University of North Texas Digital Library (University of North Texas). 39 indexed citations
20.
Martin, Frank N., Dominique Vairelles, & Bénédicte Henrion. (1993). Automated Ribosomal DNA Fingerprinting by Capillary Electrophoresis of PCR Products. Analytical Biochemistry. 214(1). 182–189. 19 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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