D. M. Mathews

449 total citations
24 papers, 364 citations indexed

About

D. M. Mathews is a scholar working on Plant Science, Endocrinology and Ecology. According to data from OpenAlex, D. M. Mathews has authored 24 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 9 papers in Endocrinology and 6 papers in Ecology. Recurrent topics in D. M. Mathews's work include Plant Virus Research Studies (21 papers), Plant and Fungal Interactions Research (9 papers) and Bacteriophages and microbial interactions (6 papers). D. M. Mathews is often cited by papers focused on Plant Virus Research Studies (21 papers), Plant and Fungal Interactions Research (9 papers) and Bacteriophages and microbial interactions (6 papers). D. M. Mathews collaborates with scholars based in United States, Ireland and Mexico. D. M. Mathews's co-authors include J. A. Dodds, T. Erik Mirkov, J. Allan Dodds, Zhong‐Nan Yang, Kelley Riley, Dion H. Du Plessis, Alexander A. Balandin, John A. Dodds, Theodore Gibbons and Khan A. Alim and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Biophysical Journal.

In The Last Decade

D. M. Mathews

24 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. M. Mathews United States 10 290 88 86 84 83 24 364
Takahiko Higashi Japan 8 279 1.0× 131 1.5× 81 0.9× 79 0.9× 42 0.5× 9 387
Shuhei Miyashita Japan 11 356 1.2× 75 0.9× 65 0.8× 58 0.7× 93 1.1× 38 445
Cherie Gambley Australia 14 427 1.5× 109 1.2× 42 0.5× 113 1.3× 69 0.8× 42 498
Zhenggang Li China 12 291 1.0× 99 1.1× 33 0.4× 41 0.5× 46 0.6× 32 360
Rosana Blawid Brazil 11 293 1.0× 92 1.0× 21 0.2× 59 0.7× 123 1.5× 36 381
Stanisław Flasiński United States 13 365 1.3× 230 2.6× 36 0.4× 191 2.3× 122 1.5× 22 526
Narayanaswamy Kirthi India 9 181 0.6× 180 2.0× 20 0.2× 45 0.5× 70 0.8× 10 336
Lada Rasochová United States 8 255 0.9× 91 1.0× 49 0.6× 79 0.9× 77 0.9× 12 340
Inmaculada Ferriol Spain 13 488 1.7× 75 0.9× 46 0.5× 110 1.3× 151 1.8× 28 511
Sudarsana Poojari Canada 13 475 1.6× 177 2.0× 23 0.3× 184 2.2× 307 3.7× 23 615

Countries citing papers authored by D. M. Mathews

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. M. Mathews

This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Mathews. A scholar is included among the top collaborators of D. M. Mathews 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 D. M. Mathews. D. M. Mathews 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.
Mathews, D. M., et al.. (2021). Detection of Avocado Sunblotch and Other Viroids Using RNA Filter Paper Capture and RT-PCR. Methods in molecular biology. 2316. 219–233. 1 indexed citations
2.
Oki, Lorence R., et al.. (2017). Elimination of Tobacco mosaic virus from irrigation runoff using slow sand filtration. Scientia Horticulturae. 217. 107–113. 6 indexed citations
3.
Mathews, D. M., et al.. (2016). Functional analysis of the N-terminal basic motif of a eukaryotic satellite RNA virus capsid protein in replication and packaging. Scientific Reports. 6(1). 26328–26328. 17 indexed citations
4.
Mathews, D. M., et al.. (2015). Properties of satellite tobacco mosaic virus phenotypes expressed in the presence and absence of helper virus. Virology. 483. 163–173. 4 indexed citations
5.
Schroeder, Susan J., et al.. (2011). Ensemble of Secondary Structures for Encapsidated Satellite Tobacco Mosaic Virus RNA Consistent with Chemical Probing and Crystallography Constraints. Biophysical Journal. 101(1). 167–175. 37 indexed citations
6.
Stanghellini, M. E., D. M. Mathews, & I. J. Misaghi. (2010). Pathogenicity and Management of Olpidium bornovanus, a Root Pathogen of Melons. Plant Disease. 94(2). 163–166. 14 indexed citations
7.
Mathews, D. M., et al.. (2009). Segregation of Distinct Variants from Citrus tristeza virus Isolate SY568 Using Aphid Transmission. Phytopathology. 99(10). 1168–1176. 11 indexed citations
8.
Mathews, D. M. & J. Allan Dodds. (2008). First Report of Angelonia flower break virus in Nemesia spp. and Other Ornamental Plants in California. Plant Disease. 92(4). 651–651. 5 indexed citations
9.
Mathews, D. M. & J. Allan Dodds. (2006). DETECTION OF MULTIPLE VIRUSES IN VERBENA, DIASCIA AND LOBELIA PLANTS. Acta Horticulturae. 219–228. 2 indexed citations
10.
Mathews, D. M., et al.. (2005). Characterization of Virus Isolates from a Field that Once Contained an Unusually Severe Strain of Citrus tristeza virus. International Organization of Citrus Virologists Conference Proceedings (1957-2010). 16(16). 2 indexed citations
11.
Alim, Khan A., et al.. (2005). Assembly and characterization of hybrid virus-inorganic nanotubes. Applied Physics Letters. 86(25). 33 indexed citations
12.
Bodaghi, Sohrab, D. M. Mathews, & J. Allan Dodds. (2004). Natural Incidence of Mixed Infections and Experimental Cross Protection Between Two Genotypes of Tobacco mild green mosaic virus. Phytopathology. 94(12). 1337–1341. 9 indexed citations
13.
Mathews, D. M., et al.. (2002). Segregation of Sweet Orange Stem Pitting Types and Stunting Factors in Subcultures from the Severe SY568 Strain of Citrus tristeza virus. International Organization of Citrus Virologists Conference Proceedings (1957-2010). 15(15). 5 indexed citations
14.
Roose, Mikeal L., et al.. (2002). RT-PCR DETECTION OF ASPARAGUS 2 ILARVIRUS. Acta Horticulturae. 357–363. 3 indexed citations
15.
Desjardins, Paul, et al.. (2000). Electron microscopy of satellite tobacco mosaic virus crystals: metal-coated, negatively stained and stereo pairs. Journal of Electron Microscopy. 49(3). 509–514. 1 indexed citations
16.
Yang, Zhong‐Nan, D. M. Mathews, J. A. Dodds, & T. Erik Mirkov. (1999). Molecular Characterization of an Isolate of Citrus Tristeza Virus that Causes Severe Symptoms in Sweet Orange. Virus Genes. 19(2). 131–142. 83 indexed citations
17.
Mathews, D. M. & J. A. Dodds. (1998). Naturally Occurring Variants of Satellite Tobacco Mosaic Virus. Phytopathology. 88(6). 514–519. 5 indexed citations
18.
19.
Mirkov, T. Erik, D. M. Mathews, Dion H. Du Plessis, & J. A. Dodds. (1989). Nucleotide sequence and translation of satellite tobacco mosaic virus RNA. Virology. 170(1). 139–146. 56 indexed citations
20.
Smith, Edgar D. & D. M. Mathews. (1977). Use of an Annular Teflon Spinning-Band Distillation Column to Determine Practical Liquid-Vapor Equilibrium Data for Close-Boiling Systems. 1. The Carbon Tetrachloride-Benzene System. Industrial & Engineering Chemistry Fundamentals. 16(2). 232–234. 1 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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