Walter Dunn

1.3k total citations · 1 hit paper
14 papers, 930 citations indexed

About

Walter Dunn is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Walter Dunn has authored 14 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Walter Dunn's work include Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (4 papers) and RNA Interference and Gene Delivery (4 papers). Walter Dunn is often cited by papers focused on Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (4 papers) and RNA Interference and Gene Delivery (4 papers). Walter Dunn collaborates with scholars based in United States, Switzerland and Austria. Walter Dunn's co-authors include Fenyong Liu, Hua Zhu, Cassie Chou, Hong Li, Rong Hai, David A. Patterson, Viktor Štolc, Phong Trang, Edward Yang and Grayson DuRaine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Walter Dunn

13 papers receiving 918 citations

Hit Papers

Functional profiling of a human cytomegalovirus genome 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Functional profiling of a human cytomegalovirus genome
    2003 549 citations Walter Dunn, Cassie Chou et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Dunn United States 10 726 291 261 161 105 14 930
Laura Hertel United States 18 563 0.8× 302 1.0× 118 0.5× 58 0.4× 317 3.0× 42 944
Meaghan H. Hancock United States 18 541 0.7× 263 0.9× 117 0.4× 200 1.2× 199 1.9× 33 752
Ian J. Groves United Kingdom 18 715 1.0× 395 1.4× 123 0.5× 139 0.9× 248 2.4× 34 1.1k
Huamin Tang Japan 16 551 0.8× 220 0.8× 70 0.3× 79 0.5× 95 0.9× 44 862
Maciej T. Nogalski United States 14 671 0.9× 164 0.6× 181 0.7× 43 0.3× 301 2.9× 19 864
Donna Collins-McMillen United States 17 723 1.0× 119 0.4× 176 0.7× 40 0.2× 244 2.3× 24 854
Jacquelyn S. Slater United States 12 543 0.7× 153 0.5× 138 0.5× 32 0.2× 340 3.2× 18 762
Sanae Nakayama Japan 17 430 0.6× 285 1.0× 42 0.2× 69 0.4× 145 1.4× 22 775
Marina Babić Croatia 17 476 0.7× 197 0.7× 64 0.2× 138 0.9× 805 7.7× 21 1.2k
Selmir Avdic Australia 19 760 1.0× 158 0.5× 149 0.6× 20 0.1× 515 4.9× 34 1.1k

Countries citing papers authored by Walter Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Walter Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Dunn

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

All Works

14 of 14 papers shown
1.
Erkert, Lena, Sherezade Moñino‐Romero, Rina Wu, et al.. (2017). An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning. Journal of Allergy and Clinical Immunology. 141(4). 1354–1364.e9. 23 indexed citations
2.
Velazquez, Emmanuel Rios, Raphael Meier, Walter Dunn, et al.. (2015). TU-AB-BRA-11: Evaluation of Fully Automatic Volumetric GBM Segmentation in the TCGA-GBM Dataset: Prognosis and Correlation with VASARI Features. Medical Physics. 42(6Part31). 3589–3589. 2 indexed citations
3.
Velazquez, Emmanuel Rios, Vivek Narayan, Patrick Großmann, et al.. (2015). TU‐CD‐BRB‐04: Automated Radiomic Features Complement the Prognostic Value of VASARI in the TCGA‐GBM Dataset. Medical Physics. 42(6Part32). 3603–3603. 1 indexed citations
4.
Dunn, Walter, Grayson DuRaine, & A. Hari Reddi. (2009). Profiling microRNA expression in bovine articular cartilage and implications for mechanotransduction. Arthritis & Rheumatism. 60(8). 2333–2339. 71 indexed citations
5.
Rider, Paul J. F., et al.. (2008). Human Cytomegalovirus microRNAs. Current topics in microbiology and immunology. 21–39. 17 indexed citations
6.
Yang, Shaojun, Saleena Ghanny, Weijia Wang, et al.. (2005). Using DNA microarray to study human cytomegalovirus gene expression. Journal of Virological Methods. 131(2). 202–208. 9 indexed citations
7.
Dunn, Walter, Phong Trang, Qiu Zhong, et al.. (2005). Human cytomegalovirus expresses novel microRNAs during productive viral infection. Cellular Microbiology. 7(11). 1684–1695. 134 indexed citations
8.
Yang, Shaojun, Weijia Wang, Michael J. Cody, et al.. (2005). Two Gamma Interferon-Activated Site-Like Elements in the Human Cytomegalovirus Major Immediate-Early Promoter/Enhancer Are Important for Viral Replication. Journal of Virology. 79(8). 5035–5046. 37 indexed citations
9.
Dunn, Walter & Fenyong Liu. (2004). RNase P-Mediated Inhibition of Viral Growth by Exogenous Administration of Short Oligonucleotide External Guide Sequence. Humana Press eBooks. 425–436. 1 indexed citations
10.
Dunn, Walter, Cassie Chou, Hong Li, et al.. (2003). Functional profiling of a human cytomegalovirus genome. Proceedings of the National Academy of Sciences. 100(24). 14223–14228. 549 indexed citations breakdown →
11.
Zhou, Tianhong, et al.. (2002). In Vitro Selection of External Guide Sequences for Directing RNase P-mediated Inhibition of Viral Gene Expression. Journal of Biological Chemistry. 277(33). 30112–30120. 28 indexed citations
12.
Abenes, Gerardo, Xiaoyan Zhan, Walter Dunn, et al.. (2002). Genetic analyses of gene function and pathogenesis of murine cytomegalovirus by transposon-mediated mutagenesis. Journal of Clinical Virology. 25. 111–122. 10 indexed citations
13.
Dunn, Walter, et al.. (2001). RNase P-mediated inhibition of cytomegalovirus protease expression and viral DNA encapsidation by oligonucleotide external guide sequences. Proceedings of the National Academy of Sciences. 98(26). 14831–14836. 26 indexed citations
14.
Xiao, Jianqiao, et al.. (2000). Murine Cytomegalovirus Containing a Mutation at Open Reading Frame M37 Is Severely Attenuated in Growth and Virulence In Vivo. Journal of Virology. 74(23). 11099–11107. 22 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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