John I. Husnik

563 total citations
9 papers, 322 citations indexed

About

John I. Husnik is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, John I. Husnik has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 6 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in John I. Husnik's work include Fermentation and Sensory Analysis (9 papers), Horticultural and Viticultural Research (6 papers) and Fungal and yeast genetics research (5 papers). John I. Husnik is often cited by papers focused on Fermentation and Sensory Analysis (9 papers), Horticultural and Viticultural Research (6 papers) and Fungal and yeast genetics research (5 papers). John I. Husnik collaborates with scholars based in Canada, South Africa and Australia. John I. Husnik's co-authors include Hennie J.J. van Vuuren, H. J. J. van Vuuren, Heinrich Volschenk, Matthew S. Dahabieh, George van der Merwe, Didier Colavizza, Zongli Luo, Jürgen Bauer, R. E. Subden and Aline Lonvaud‐Funel and has published in prestigious journals such as Applied and Environmental Microbiology, Food Research International and Journal of Applied Microbiology.

In The Last Decade

John I. Husnik

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John I. Husnik Canada	9	280	177	142	40	25	9	322
Rosana Chiva Spain	13	297 1.1×	207 1.2×	153 1.1×	43 1.1×	19 0.8×	15	369
C. Fiore Italy	7	245 0.9×	140 0.8×	128 0.9×	32 0.8×	37 1.5×	12	304
Sara S. González Spain	6	321 1.1×	221 1.2×	225 1.6×	42 1.1×	19 0.8×	6	357
George van der Merwe Canada	10	163 0.6×	204 1.2×	102 0.7×	26 0.7×	18 0.7×	16	307
Carmen Millán Spain	11	329 1.2×	152 0.9×	215 1.5×	47 1.2×	85 3.4×	16	379
Jan Clair Nielsen Denmark	7	331 1.2×	109 0.6×	179 1.3×	92 2.3×	35 1.4×	8	380
Beatriz González Spain	11	193 0.7×	154 0.9×	113 0.8×	31 0.8×	48 1.9×	15	333
Vincent Gerbaux France	8	238 0.8×	100 0.6×	113 0.8×	76 1.9×	41 1.6×	15	308
J. M. Sablayrolles France	9	387 1.4×	175 1.0×	254 1.8×	48 1.2×	39 1.6×	12	419
J.R. Verde-Calvo Mexico	11	181 0.6×	87 0.5×	171 1.2×	25 0.6×	50 2.0×	21	332

Countries citing papers authored by John I. Husnik

Since Specialization

Citations

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

Fields of papers citing papers by John I. Husnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John I. Husnik. 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 John I. Husnik. The network helps show where John I. Husnik may publish in the future.

Co-authorship network of co-authors of John I. Husnik

This figure shows the co-authorship network connecting the top 25 collaborators of John I. Husnik. A scholar is included among the top collaborators of John I. Husnik 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 John I. Husnik. John I. Husnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Sierocinski, Thomas, et al.. (2020). Industrially Applicable De Novo Lager Yeast Hybrids with a Unique Genomic Architecture: Creation and Characterization. Applied and Environmental Microbiology. 87(3). 17 indexed citations

Dahabieh, Matthew S., John I. Husnik, & H. J. J. van Vuuren. (2010). Functional enhancement of Sake yeast strains to minimize the production of ethyl carbamate in Sake wine. Journal of Applied Microbiology. 109(3). 963–973. 36 indexed citations

Dahabieh, Matthew S., John I. Husnik, & Hennie J.J. van Vuuren. (2009). Functional Expression of theDUR3Gene in a Wine Yeast Strain to Minimize Ethyl Carbamate in Chardonnay Wine. American Journal of Enology and Viticulture. 60(4). 537–541. 12 indexed citations

Husnik, John I., Pascal Delaquis, Margaret A. Cliff, & Hennie J.J. van Vuuren. (2007). Functional Analyses of the Malolactic Wine Yeast ML01. American Journal of Enology and Viticulture. 58(1). 42–52. 25 indexed citations

Husnik, John I., Heinrich Volschenk, Jürgen Bauer, et al.. (2006). Metabolic engineering of malolactic wine yeast. Metabolic Engineering. 8(4). 315–323. 91 indexed citations

Coulon, Joana, John I. Husnik, Debra Inglis, et al.. (2006). Metabolic Engineering ofSaccharomyces cerevisiaeto Minimize the Production of Ethyl Carbamate in Wine. American Journal of Enology and Viticulture. 57(2). 113–124. 74 indexed citations

Volschenk, Heinrich, et al.. (2004). Genetic Engineering of an Industrial Strain of Saccharomyces cerevisiae for L-Malic Acid Degradation via an Efficient Malo-Ethanolic Pathway. South African Journal of Enology and Viticulture. 25(2). 19 indexed citations

Subden, R. E., et al.. (2003). Autochthonous microbial population in a Niagara Peninsula icewine must. Food Research International. 36(7). 747–751. 25 indexed citations

Husnik, John I., et al.. (1997). Freeze—desiccation survival in wild yeasts in the bloom of icewine grapes. Food Research International. 30(6). 435–439. 23 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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