Scott Zuyderduyn

2.3k total citations
10 papers, 514 citations indexed

About

Scott Zuyderduyn is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Scott Zuyderduyn has authored 10 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Scott Zuyderduyn's work include Fungal Infections and Studies (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). Scott Zuyderduyn is often cited by papers focused on Fungal Infections and Studies (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). Scott Zuyderduyn collaborates with scholars based in Canada, United States and Hong Kong. Scott Zuyderduyn's co-authors include Steven J.M. Jones, Marco A. Marra, James W. Kronstad, Richard Varhol, Sharon M. Gorski, Jamie Freeman, Erin Pleasance, Shaun Coughlin, Carrie L. Anderson and Suganthi Chittaranjan and has published in prestigious journals such as Current Biology, Genome Research and CHEST Journal.

In The Last Decade

Scott Zuyderduyn

10 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Zuyderduyn Canada 8 290 213 155 136 85 10 514
Kristin A. Trott United States 8 283 1.0× 257 1.2× 91 0.6× 28 0.2× 82 1.0× 10 623
Roland Russnak Canada 15 159 0.5× 697 3.3× 108 0.7× 111 0.8× 50 0.6× 18 988
Susanne Warrenfeltz United States 9 126 0.4× 276 1.3× 87 0.6× 122 0.9× 17 0.2× 10 505
Haruo Matsumura Japan 14 199 0.7× 174 0.8× 92 0.6× 26 0.2× 170 2.0× 29 562
Yamini M. Ohol United States 5 130 0.4× 219 1.0× 120 0.8× 80 0.6× 69 0.8× 5 418
U. I. M. Wiehart South Africa 7 178 0.6× 183 0.9× 257 1.7× 27 0.2× 114 1.3× 9 566
Marı́a José Ruano Spain 12 214 0.7× 169 0.8× 213 1.4× 30 0.2× 34 0.4× 28 576
Binbin Ding China 10 303 1.0× 181 0.8× 124 0.8× 44 0.3× 88 1.0× 17 524
M Chamorro France 8 121 0.4× 128 0.6× 83 0.5× 134 1.0× 55 0.6× 8 485
Smarajit Polley India 13 152 0.5× 228 1.1× 76 0.5× 24 0.2× 180 2.1× 21 618

Countries citing papers authored by Scott Zuyderduyn

Since Specialization
Citations

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

Fields of papers citing papers by Scott Zuyderduyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Zuyderduyn

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

All Works

10 of 10 papers shown
1.
Zhang, Na, Yun‐Juan Bao, Scott Zuyderduyn, et al.. (2018). Whole transcriptome analysis reveals differential gene expression profile reflecting macrophage polarization in response to influenza A H5N1 virus infection. BMC Medical Genomics. 11(1). 20–20. 28 indexed citations
2.
Robertson, Neil, Scott Zuyderduyn, Richard Varhol, et al.. (2007). DiscoverySpace: an interactive data analysis application. Genome biology. 8(1). R6–R6. 37 indexed citations
3.
Zuyderduyn, Scott. (2007). Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model. BMC Bioinformatics. 8(1). 282–282. 10 indexed citations
4.
Lian, Tianshun, Cletus A. D’Souza, Scott Zuyderduyn, et al.. (2005). Iron‐regulated transcription and capsule formation in the fungal pathogen Cryptococcus neoformans. Molecular Microbiology. 55(5). 1452–1472. 88 indexed citations
5.
MacAulay, Calum, Bryan Chi, Scott Zuyderduyn, et al.. (2004). Serial Analysis of Gene Expression Profiles of Developmental Stages in Non-small Cell Lung Carcinoma. CHEST Journal. 125(5). 97S–97S. 1 indexed citations
6.
Baross, Ágnes, et al.. (2004). Effect of TERT and ATM on gene expression profiles in human fibroblasts. Genes Chromosomes and Cancer. 39(4). 298–310. 11 indexed citations
7.
Gorski, Sharon M., Suganthi Chittaranjan, Erin Pleasance, et al.. (2003). A SAGE Approach to Discovery of Genes Involved in Autophagic Cell Death. Current Biology. 13(4). 358–363. 169 indexed citations
8.
Zuyderduyn, Scott & Steven J.M. Jones. (2003). A knowledge discovery object model API for Java. BMC Bioinformatics. 4(1). 51–51. 1 indexed citations
9.
Zuyderduyn, Scott, Dena L. Toffaletti, Marco A. Marra, et al.. (2003). Cryptococcus neoformans Gene Expression during Experimental Cryptococcal Meningitis. Eukaryotic Cell. 2(6). 1336–1349. 97 indexed citations
10.
Zuyderduyn, Scott, et al.. (2002). Temperature-Regulated Transcription in the Pathogenic Fungus Cryptococcus neoformans. Genome Research. 12(9). 1386–1400. 72 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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2026