Todd J. Ward

33.9k total citations · 4 hit papers
112 papers, 20.5k citations indexed

About

Todd J. Ward is a scholar working on Plant Science, Cell Biology and Biotechnology. According to data from OpenAlex, Todd J. Ward has authored 112 papers receiving a total of 20.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Plant Science, 64 papers in Cell Biology and 25 papers in Biotechnology. Recurrent topics in Todd J. Ward's work include Plant Pathogens and Fungal Diseases (64 papers), Mycotoxins in Agriculture and Food (60 papers) and Plant Disease Resistance and Genetics (26 papers). Todd J. Ward is often cited by papers focused on Plant Pathogens and Fungal Diseases (64 papers), Mycotoxins in Agriculture and Food (60 papers) and Plant Disease Resistance and Genetics (26 papers). Todd J. Ward collaborates with scholars based in United States, Japan and Canada. Todd J. Ward's co-authors include Salim Roukos, Kishore Papineni, Wei-Jing Zhu, Kerry O’Donnell, Harold Kistler, David M. Geiser, Takayuki Aoki, Seogchan Kang, Alejandro P. Rooney and Liane Rosewich Gale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Todd J. Ward

110 papers receiving 18.9k citations

Hit Papers

BLEU 2001 2026 2009 2017 2001 2004 2004 2013 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd J. Ward United States 49 10.1k 6.7k 6.0k 4.0k 1.6k 112 20.5k
Sergey Nikolenko Russia 23 903 0.1× 3.7k 0.6× 1.1k 0.2× 244 0.1× 10.3k 6.4× 123 21.2k
Diane Kelly United Kingdom 54 1000 0.1× 1.2k 0.2× 624 0.1× 297 0.1× 2.3k 1.4× 241 9.2k
Richard F. Helm United States 39 7.3k 0.7× 1.2k 0.2× 106 0.0× 884 0.2× 2.0k 1.3× 173 17.9k
Michael C. Schatz United States 55 1.1k 0.1× 5.2k 0.8× 548 0.1× 157 0.0× 10.3k 6.4× 151 16.5k
George Coulouris United Kingdom 18 331 0.0× 4.8k 0.7× 987 0.2× 264 0.1× 10.8k 6.7× 48 21.7k
Dong Xu United States 72 821 0.1× 5.0k 0.8× 341 0.1× 408 0.1× 9.7k 6.0× 454 16.2k
Stefan Kurtz Germany 31 1.2k 0.1× 3.4k 0.5× 580 0.1× 129 0.0× 7.1k 4.4× 67 10.2k
Michael Lewis United States 47 1.1k 0.1× 325 0.0× 1.5k 0.3× 812 0.2× 3.3k 2.0× 343 8.9k
Siu‐Ming Yiu Hong Kong 32 1.6k 0.2× 1.7k 0.2× 129 0.0× 327 0.1× 5.0k 3.1× 191 9.3k
Justin Zobel Australia 47 5.0k 0.5× 560 0.1× 103 0.0× 1.4k 0.4× 2.3k 1.4× 241 10.9k

Countries citing papers authored by Todd J. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Todd J. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd J. Ward. 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 Todd J. Ward. The network helps show where Todd J. Ward may publish in the future.

Co-authorship network of co-authors of Todd J. Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Todd J. Ward. A scholar is included among the top collaborators of Todd J. Ward 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 Todd J. Ward. Todd J. Ward 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
3.
Ward, Todd J., Emerson M. Del Ponte, Gláucia M. Moreira, et al.. (2020). Five‐year survey uncovers extensive diversity and temporal fluctuations among fusarium head blight pathogens of wheat and barley in Brazil. Plant Pathology. 70(2). 426–435. 20 indexed citations
4.
Moreira, Gláucia M., et al.. (2019). First Report of the Fusarium tricinctum Species Complex Causing Fusarium Head Blight of Wheat in Brazil. Plant Disease. 104(2). 586–586. 12 indexed citations
5.
Ward, Todd J., Dauri José Tessmann, Emerson M. Del Ponte, et al.. (2018). Fusarium subtropicale, sp. nov., a novel nivalenol mycotoxin–producing species isolated from barley (Hordeum vulgare) in Brazil and sister to F. praegraminearum. Mycologia. 110(5). 860–871. 6 indexed citations
6.
O’Donnell, Kerry, Susan P. McCormick, Mark Busman, et al.. (2018). Marasas et al. 1984 “ToxigenicFusariumSpecies: Identity and Mycotoxicology” revisited. Mycologia. 110(6). 1058–1080. 91 indexed citations
7.
Bakker, Matthew G., Daren W. Brown, Amy C. Kelly, et al.. (2018). Fusariummycotoxins: a trans-disciplinary overview. Canadian Journal of Plant Pathology. 40(2). 161–171. 49 indexed citations
8.
Gräfenhan, Tom, Peter R. Johnston, Martha Vaughan, et al.. (2018). Fusarium praegraminearum sp. nov., a novel nivalenol mycotoxin-producing pathogen from New Zealand can induce head blight on wheat.. PubMed. 108(6). 1229–1239. 14 indexed citations
9.
Laraba, Imane, Houda Boureghda, F. Obanor, et al.. (2017). Population genetic structure and mycotoxin potential of the wheat crown rot and head blight pathogen Fusarium culmorum in Algeria. Fungal Genetics and Biology. 103. 34–41. 43 indexed citations
11.
Kuhnem, Paulo, et al.. (2015). Composition and toxigenic potential of the Fusarium graminearum species complex from maize ears, stalks and stubble in Brazil. Plant Pathology. 65(7). 1185–1191. 34 indexed citations
12.
Aoki, Takayuki, Martha Vaughan, Susan P. McCormick, et al.. (2015). Fusarium dactylidis sp. nov., a novel nivalenol toxin-producing species sister to F. pseudograminearum isolated from orchard grass ( Dactylis glomerata ) in Oregon and New Zealand. Mycologia. 107(2). 409–418. 25 indexed citations
13.
Villani, Alessandra, Robert H. Proctor, Daren W. Brown, et al.. (2015). Fusarium incarnatum-equiseti species complex from cereals: phylogeny and variability of trichothecene biosynthetic gene cluster. Journal of Plant Pathology. 1 indexed citations
14.
Gomes, Larissa Bitencourt, Todd J. Ward, Eliana Badiale–Furlong, & Emerson M. Del Ponte. (2014). Species composition, toxigenic potential and pathogenicity of F usarium graminearum species complex isolates from southern B razilian rice. Plant Pathology. 64(4). 980–987. 60 indexed citations
15.
16.
Suga, Haruhisa, Todd J. Ward, Liane Rosewich Gale, et al.. (2008). Molecular Characterization of the Fusarium graminearum Species Complex in Japan. Phytopathology. 98(2). 159–166. 146 indexed citations
17.
Clear, R. M., Susan K. Patrick, Don Gaba, et al.. (2006). Trichothecene and zearalenone production, in culture, by isolates of Fusarium pseudograminearum from western Canada. Canadian Journal of Plant Pathology. 28(1). 131–136. 15 indexed citations
18.
Rep, Martijn, Liane Rosewich Gale, Thomas Usgaard, et al.. (2006). The presence of GC-AG introns in Neurospora crassa and other euascomycetes determined from analyses of complete genomes: implications for automated gene prediction. Genomics. 87(3). 338–347. 27 indexed citations
19.
Pietra, S. Della, Mark Epstein, Salim Roukos, & Todd J. Ward. (1997). Fertility models for statistical natural language understanding. 168–173. 14 indexed citations
20.
Pietra, S. Della, Mark Epstein, Salim Roukos, & Todd J. Ward. (1997). Fertility models for statistical natural language understanding. 168–173. 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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