Mitali Banik

663 total citations
21 papers, 472 citations indexed

About

Mitali Banik is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Mitali Banik has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Mitali Banik's work include Wheat and Barley Genetics and Pathology (4 papers), Plant Disease Resistance and Genetics (4 papers) and Mycotoxins in Agriculture and Food (4 papers). Mitali Banik is often cited by papers focused on Wheat and Barley Genetics and Pathology (4 papers), Plant Disease Resistance and Genetics (4 papers) and Mycotoxins in Agriculture and Food (4 papers). Mitali Banik collaborates with scholars based in Canada, Australia and Iran. Mitali Banik's co-authors include J. Derek Bewley, Geoffrey B. Fincher, Sylvie Cloutier, J. Allan Feurtado, Scott Duguid, Thomas Garrett, Peter Langridge, Richard Bourgault, G. G. Rowland and Elsa Reimer and has published in prestigious journals such as Journal of Experimental Botany, Theoretical and Applied Genetics and International Journal of Biological Macromolecules.

In The Last Decade

Mitali Banik

21 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitali Banik Canada 13 391 124 76 69 68 21 472
Ardashir Kharabian Masouleh Australia 11 375 1.0× 182 1.5× 79 1.0× 36 0.5× 24 0.4× 41 475
Michael N. Steine United States 6 859 2.2× 582 4.7× 127 1.7× 45 0.7× 22 0.3× 6 995
Maxime Chantreau France 6 273 0.7× 205 1.7× 19 0.3× 81 1.2× 38 0.6× 9 387
Yazhong Jin China 14 415 1.1× 280 2.3× 10 0.1× 36 0.5× 22 0.3× 19 518
Kenichiro Matsushima Japan 12 169 0.4× 194 1.6× 21 0.3× 23 0.3× 41 0.6× 13 318
Sabiha Parween Philippines 13 568 1.5× 122 1.0× 176 2.3× 39 0.6× 17 0.3× 23 665
Rohan Singh Australia 11 680 1.7× 369 3.0× 73 1.0× 92 1.3× 66 1.0× 18 782
Anne Medhurst United Kingdom 6 668 1.7× 313 2.5× 90 1.2× 117 1.7× 38 0.6× 8 760
Chuandeng Yi China 16 871 2.2× 326 2.6× 88 1.2× 47 0.7× 16 0.2× 38 972

Countries citing papers authored by Mitali Banik

Since Specialization
Citations

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

Fields of papers citing papers by Mitali Banik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitali Banik

This figure shows the co-authorship network connecting the top 25 collaborators of Mitali Banik. A scholar is included among the top collaborators of Mitali Banik 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 Mitali Banik. Mitali Banik 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.
Islam, Nazrul, Mitali Banik, Srinivas Sura, James R. Tucker, & Xiben Wang. (2022). Implications of Crop Rotation and Fungicide on Fusarium and Mycotoxin Spectra in Manitoba Barley, 2017–2019. Toxins. 14(7). 463–463. 8 indexed citations
2.
Islam, Nazrul, Mitali Banik, Fouad Daayf, et al.. (2021). Naturally Occurring Fusarium Species and Mycotoxins in Oat Grains from Manitoba, Canada. Toxins. 13(9). 670–670. 20 indexed citations
3.
Legge, W. G., Ana Badea, James R. Tucker, et al.. (2018). AAC Goldman barley. Canadian Journal of Plant Science. 98(5). 1203–1211. 7 indexed citations
4.
Banik, Mitali, Daniel L. Lindner, Jennifer Juzwik, & Jessie A. Glaeser. (2013). Use of DNA sequencing to detect pathogenic, saprotrophic, and stain fungi in sapwood of declining red pine (Pinus resinosa) in the Upper Midwest. 101–110. 2 indexed citations
5.
Cloutier, Sylvie, Scott Duguid, Khalid T. Rashid, et al.. (2013). Mapping Quantitative Trait Loci for Powdery Mildew Resistance in Flax (Linum usitatissimum L.). Crop Science. 53(6). 2462–2472. 28 indexed citations
6.
Wang, Zining, Mitali Banik, & Sylvie Cloutier. (2013). Divergent evolutionary mechanisms of co-locatedTak/LrkandGlu-D3loci revealed by comparative analysis of grass genomes. Genome. 56(4). 195–204. 1 indexed citations
7.
Cloutier, Sylvie, Raja Ragupathy, Elsa Reimer, et al.. (2012). Integrated consensus genetic and physical maps of flax (Linum usitatissimum L.). Theoretical and Applied Genetics. 125(8). 1783–1795. 61 indexed citations
8.
Cerkauskas, R.F., G. Ferguson, & Mitali Banik. (2011). Powdery mildew (Leveillula taurica) on greenhouse and field peppers in Ontario – host range, cultivar response and disease management strategies. Canadian Journal of Plant Pathology. 33(4). 485–498. 13 indexed citations
9.
10.
Liu, Shuyu, Kangfu Yu, S. J. Park, et al.. (2010). Construction of a BAC library and a physical map of a major QTL for CBB resistance of common bean (Phaseolus vulgaris L.). Genetica. 138(7). 709–716. 6 indexed citations
11.
Liu, Shuyu, Mitali Banik, Kangfu Yu, et al.. (2007). Marker-Assisted Selection (MAS) in Major Cereal and Legume Crop Breeding: Current Progress and Future Directions. 7 indexed citations
12.
Legge, W. G., James R. Tucker, Mitali Banik, et al.. (2004). Progress in breeding for resistance to fusarium head blight in barley. Canadian Journal of Plant Pathology. 26(4). 436–442. 28 indexed citations
13.
Banik, Mitali, Richard Bourgault, & J. Derek Bewley. (2001). Endo‐β‐mannanase is present in an inactive form in ripening tomato fruits of the cultivar Walter. Journal of Experimental Botany. 52(354). 105–111. 2 indexed citations
14.
Feurtado, J. Allan, Mitali Banik, & J. Derek Bewley. (2001). The cloning and characterization of α‐galactosidase present during and following germination of tomato (Lycopersicon esculentum Mill.) seed. Journal of Experimental Botany. 52(359). 1239–1249. 20 indexed citations
15.
Feurtado, J. Allan, Mitali Banik, & J. Derek Bewley. (2001). The cloning and characterization of α‐galactosidase present during and following germination of tomato ( Lycopersicon esculentum Mill.) seed. Journal of Experimental Botany. 52(359). 1239–1249. 52 indexed citations
16.
Banik, Mitali, Richard Bourgault, & J. Derek Bewley. (2001). Endo‐β‐mannanase is present in an inactive form in ripening tomato fruits of the cultivar Walter. Journal of Experimental Botany. 52(354). 105–111. 24 indexed citations
17.
Banik, Mitali, et al.. (1997). Structure, hormonal regulation, and chromosomal location of genes encoding barley (1å4)-β-xylan endohydrolases. Molecular and General Genetics MGG. 253(5). 599–608. 42 indexed citations
18.
Hrmová, Mária, Mitali Banik, Andrew J. Harvey, et al.. (1997). Polysaccharide hydrolases in germinated barley and their role in the depolymerization of plant and fungal cell walls. International Journal of Biological Macromolecules. 21(1-2). 67–72. 37 indexed citations
19.
Banik, Mitali, Thomas Garrett, & Geoffrey B. Fincher. (1996). Molecular cloning of cDNAs encoding (1?4)-?-xylan endohydrolases from the aleurone layer of germinated barley (Hordeum vulgare). Plant Molecular Biology. 31(6). 1163–1172. 39 indexed citations
20.

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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