Daryl Waggott

5.2k total citations
18 papers, 1.0k citations indexed

About

Daryl Waggott is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daryl Waggott has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Daryl Waggott's work include Genomics and Rare Diseases (4 papers), RNA modifications and cancer (4 papers) and Genomics and Phylogenetic Studies (3 papers). Daryl Waggott is often cited by papers focused on Genomics and Rare Diseases (4 papers), RNA modifications and cancer (4 papers) and Genomics and Phylogenetic Studies (3 papers). Daryl Waggott collaborates with scholars based in United States, Canada and Sweden. Daryl Waggott's co-authors include Paul C. Boutros, Euan A. Ashley, Fei‐Fei Liu, Kenneth C. Chu, Bradly G. Wouters, Matthew T. Wheeler, Megan E. Grove, Anna Shcherbina, Justin M. Zook and Marc Salit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Daryl Waggott

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daryl Waggott United States 14 500 342 327 96 85 18 1.0k
Cornelia Di Gaetano Italy 19 499 1.0× 321 0.9× 333 1.0× 117 1.2× 65 0.8× 47 1.0k
Аndrey S. Glotov Russia 20 615 1.2× 272 0.8× 302 0.9× 58 0.6× 61 0.7× 131 1.2k
Brian Rhees United States 12 716 1.4× 249 0.7× 569 1.7× 136 1.4× 44 0.5× 26 1.3k
Lifeng Tian United States 15 474 0.9× 366 1.1× 146 0.4× 45 0.5× 87 1.0× 47 900
Geoff Macintyre Australia 15 671 1.3× 229 0.7× 313 1.0× 117 1.2× 45 0.5× 38 1.0k
Julie Dutil Puerto Rico 20 393 0.8× 546 1.6× 150 0.5× 157 1.6× 169 2.0× 64 1.1k
Zoë May Pendlington United Kingdom 2 715 1.4× 706 2.1× 142 0.4× 44 0.5× 113 1.3× 2 1.3k
Weihua Zhang China 17 677 1.4× 262 0.8× 109 0.3× 56 0.6× 75 0.9× 55 1.1k
Zhaoming Wang United States 19 497 1.0× 207 0.6× 213 0.7× 241 2.5× 84 1.0× 74 1.3k
Lisa Shah United States 15 260 0.5× 198 0.6× 146 0.4× 195 2.0× 74 0.9× 45 899

Countries citing papers authored by Daryl Waggott

Since Specialization
Citations

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

Fields of papers citing papers by Daryl Waggott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daryl Waggott

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

All Works

18 of 18 papers shown
1.
Kumar, Akash, Diane B. Zastrow, Elijah Kravets, et al.. (2019). Extracutaneous manifestations in phacomatosis cesioflammea and cesiomarmorata: Case series and literature review. American Journal of Medical Genetics Part A. 179(6). 966–977. 16 indexed citations
2.
Hershman, Steven G., Brian M. Bot, Anna Shcherbina, et al.. (2019). Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Scientific Data. 6(1). 24–24. 48 indexed citations
3.
Shcherbina, Anna, Steven G. Hershman, Laura C. Lazzeroni, et al.. (2019). The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study. The Lancet Digital Health. 1(7). e344–e352. 49 indexed citations
4.
Haider, Syed, Daryl Waggott, & Paul C. Boutros. (2019). Genomic Region Processing using Tools Such as 'BEDTools', 'BEDOPS' and 'Tabix' [R package bedr version 1.0.7]. 2 indexed citations
5.
Tikkanen, Emmi, Stefan Gustafsson, David Amar, et al.. (2018). Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank. Scientific Reports. 8(1). 6451–6451. 67 indexed citations
6.
Merker, Jason D., Aaron M. Wenger, Tam P. Sneddon, et al.. (2017). Long-read genome sequencing identifies causal structural variation in a Mendelian disease. Genetics in Medicine. 20(1). 159–163. 158 indexed citations
7.
Zastrow, Diane B., Patricia A. Zornio, Annika M. Dries, et al.. (2016). Exome sequencing identifies de novo pathogenic variants in FBN1 and TRPS1 in a patient with a complex connective tissue phenotype. Molecular Case Studies. 3(1). a001388–a001388. 4 indexed citations
8.
Haider, Syed, Daryl Waggott, Emilie Lalonde, et al.. (2016). A bedr way of genomic interval processing. PubMed. 11(1). 14–14. 16 indexed citations
9.
Goldfeder, Rachel L., James R. Priest, Justin M. Zook, et al.. (2016). Medical implications of technical accuracy in genome sequencing. Genome Medicine. 8(1). 24–24. 94 indexed citations
10.
Mattsson, C. Mikael, Matthew T. Wheeler, Daryl Waggott, Colleen Caleshu, & Euan A. Ashley. (2016). Sports genetics moving forward: lessons learned from medical research. Physiological Genomics. 48(3). 175–182. 23 indexed citations
11.
Dewey, Frederick E., Megan E. Grove, James R. Priest, et al.. (2015). Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data. PLoS Genetics. 11(10). e1005496–e1005496. 13 indexed citations
12.
Bruce, Jeff, Angela B. Hui, Wei Shi, et al.. (2015). Identification of a microRNA signature associated with risk of distant metastasis in nasopharyngeal carcinoma. Oncotarget. 6(6). 4537–4550. 50 indexed citations
13.
Ewing, Adam D., Kathleen E. Houlahan, Yin Hu, et al.. (2015). Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. Nature Methods. 12(7). 623–630. 182 indexed citations
14.
How, Christine, Melania Pintilie, Jeff Bruce, et al.. (2015). Developing a Prognostic Micro-RNA Signature for Human Cervical Carcinoma. PLoS ONE. 10(4). e0123946–e0123946. 27 indexed citations
15.
Sepiashvili, Lusia, Daryl Waggott, Angela Bik‐Yu Hui, et al.. (2014). Integrated Omic Analysis of Oropharyngeal Carcinomas Reveals Human Papillomavirus (HPV)–dependent Regulation of the Activator Protein 1 (AP-1) Pathway. Molecular & Cellular Proteomics. 13(12). 3572–3584. 18 indexed citations
16.
Nichols, Anthony C., Michelle Chan‐Seng‐Yue, John Yoo, et al.. (2013). A Case Report and Genetic Characterization of a Massive Acinic Cell Carcinoma of the Parotid with Delayed Distant Metastases. SHILAP Revista de lepidopterología. 2013. 1–7. 5 indexed citations
17.
Prokopec, Stephenie D., John D. Watson, Daryl Waggott, et al.. (2012). Systematic evaluation of medium-throughput mRNA abundance platforms. RNA. 19(1). 51–62. 70 indexed citations
18.
Waggott, Daryl, et al.. (2012). NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data. Bioinformatics. 28(11). 1546–1548. 178 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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