Ana Badea

1.3k total citations
45 papers, 600 citations indexed

About

Ana Badea is a scholar working on Plant Science, Cell Biology and Genetics. According to data from OpenAlex, Ana Badea has authored 45 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 11 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in Ana Badea's work include Wheat and Barley Genetics and Pathology (24 papers), Mycotoxins in Agriculture and Food (15 papers) and Plant Pathogens and Fungal Diseases (11 papers). Ana Badea is often cited by papers focused on Wheat and Barley Genetics and Pathology (24 papers), Mycotoxins in Agriculture and Food (15 papers) and Plant Pathogens and Fungal Diseases (11 papers). Ana Badea collaborates with scholars based in Canada, United States and Austria. Ana Badea's co-authors include James R. Tucker, François Eudes, Nora A. Foroud, W. G. Dilantha Fernando, J. Adam Carter, André Laroche, Nehal Thakor, T. Yu. Gagkaeva, Danica Baines and Abbot Oghenekaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.

In The Last Decade

Ana Badea

43 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana Badea Canada 12 538 215 73 61 39 45 600
Jagdish Kumar India 10 577 1.1× 158 0.7× 101 1.4× 28 0.5× 23 0.6× 16 647
Antônio Félix da Costa Brazil 14 592 1.1× 101 0.5× 142 1.9× 40 0.7× 57 1.5× 101 719
Adam Dale Canada 16 781 1.5× 140 0.7× 181 2.5× 48 0.8× 35 0.9× 80 872
M. I. E. Arabi Syria 12 631 1.2× 168 0.8× 112 1.5× 56 0.9× 21 0.5× 105 679
Urszula Wachowska Poland 13 411 0.8× 188 0.9× 57 0.8× 13 0.2× 49 1.3× 58 485
R. S. Misra India 14 416 0.8× 169 0.8× 138 1.9× 31 0.5× 65 1.7× 49 525
S.R. Prabhukarthikeyan India 15 473 0.9× 131 0.6× 145 2.0× 35 0.6× 26 0.7× 49 564
Patrick P. Moore United States 13 595 1.1× 122 0.6× 221 3.0× 72 1.2× 65 1.7× 76 696
Piyada Alisha Tantasawat Thailand 14 680 1.3× 89 0.4× 229 3.1× 45 0.7× 32 0.8× 45 776
Guro Brodal Norway 14 567 1.1× 216 1.0× 65 0.9× 15 0.2× 56 1.4× 40 624

Countries citing papers authored by Ana Badea

Since Specialization
Citations

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

Fields of papers citing papers by Ana Badea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Badea

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Badea. A scholar is included among the top collaborators of Ana Badea 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 Ana Badea. Ana Badea 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.
Bakker, Matthew G., James R. Tucker, W. G. Dilantha Fernando, et al.. (2025). Comparison of Bacterial Endophytes in Barley Grains Infected and Non‐Infected With Fusarium Head Blight Using Metabarcoding. Plant Pathology. 74(8). 2241–2255.
2.
McCallum, Brent, Igor Kovalchuk, Christof Rampitsch, et al.. (2024). Foliar application of plant-derived peptides decreases the severity of leaf rust (Puccinia triticina) infection in bread wheat (Triticum aestivum L.). Journal of Genetic Engineering and Biotechnology. 22(1). 100357–100357. 6 indexed citations
3.
Bakker, Matthew G., et al.. (2024). Microbiome dynamics during malting of barley grains infested by Fusarium graminearum strains. Plant Pathology. 73(7). 1886–1900. 3 indexed citations
4.
Tucker, James R., et al.. (2024). Impacts of pathogen strain and barley cultivar on Fusarium head blight in barley and during malting. Plant Pathology. 73(7). 1874–1885. 5 indexed citations
5.
6.
Fu, Yong‐Bi, Gregory W. Peterson, Eviatar Nevo, & Ana Badea. (2024). Intensified Selection, Elevated Mutations, and Reduced Adaptation Potential in Wild Barley in Response to 28 Years of Global Warming. SHILAP Revista de lepidopterología. 6(1). 16–16.
7.
Abed, Amina, Jérôme Laroche, Aaron D. Beattie, et al.. (2024). Integrating targeted genetic markers to genotyping-by-sequencing for an ultimate genotyping tool. Theoretical and Applied Genetics. 137(10). 247–247. 1 indexed citations
8.
Tucker, James R., et al.. (2024). Genome‐wide association study of adult plant resistance to spot blotch in an elite Canadian two‐row barley germplasm collection. Plant Pathology. 73(6). 1446–1457. 2 indexed citations
9.
Hill, Robert D., Mohamed M. Mira, Abir U. Igamberdiev, et al.. (2023). Over-expression of the barley Phytoglobin 1 (HvPgb1) evokes leaf-specific transcriptional responses during root waterlogging. Journal of Plant Physiology. 283. 153944–153944. 4 indexed citations
10.
Badea, Ana, James R. Tucker, Ali S. Sabra, et al.. (2023). Endogenic Phenolic Compounds of Barley as Potential Biomarkers Related to Grain Mycotoxin Production and Cultivar Selection. Biology. 12(10). 1306–1306. 4 indexed citations
11.
Tabacu, Ştefan, et al.. (2023). Complex Analysis of an Auxetic Structure under Compressive Loads. Sustainability. 15(8). 6805–6805. 3 indexed citations
12.
Tuấn, Phạm Anh, et al.. (2023). Genome-wide association and targeted transcriptomic analyses reveal loci and candidate genes regulating preharvest sprouting in barley. Theoretical and Applied Genetics. 136(9). 202–202. 4 indexed citations
13.
14.
Tucker, James R., et al.. (2021). GPTransformer: A Transformer-Based Deep Learning Method for Predicting Fusarium Related Traits in Barley. Frontiers in Plant Science. 12. 761402–761402. 25 indexed citations
15.
Fernando, W. G. Dilantha, Abbot Oghenekaro, James R. Tucker, & Ana Badea. (2020). Building on a foundation: advances in epidemiology, resistance breeding, and forecasting research for reducing the impact of fusarium head blight in wheat and barley. Canadian Journal of Plant Pathology. 43(4). 495–526. 57 indexed citations
16.
Foroud, Nora A., Danica Baines, T. Yu. Gagkaeva, et al.. (2019). Trichothecenes in Cereal Grains – An Update. Toxins. 11(11). 634–634. 111 indexed citations
17.
Badea, Ana, et al.. (2018). Tocols and oil content in whole grain, brewer's spent grain, and pearling fractions of malting, feed, and food barley genotypes. Cereal Chemistry. 95(6). 779–789. 10 indexed citations
18.
Legge, W. G., Ana Badea, James R. Tucker, et al.. (2017). AAC Connect barley. BioOne Complete (BioOne). 3 indexed citations
19.
Badea, Ana, François Eudes, André Laroche, et al.. (2013). Antimicrobial peptides expressed in wheat reduce susceptibility to Fusarium head blight and powdery mildew. Canadian Journal of Plant Science. 93(2). 199–208. 6 indexed citations
20.
Badea, Ana, François Eudes, R. J. Graf, et al.. (2008). Phenotypic and marker-assisted evaluation of spring and winter wheat germplasm for resistance to fusarium head blight. Euphytica. 164(3). 803–819. 31 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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