Dan E. Webster

3.0k total citations · 1 hit paper
24 papers, 2.2k citations indexed

About

Dan E. Webster is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Dan E. Webster has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Dan E. Webster's work include Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (6 papers) and Spondyloarthritis Studies and Treatments (3 papers). Dan E. Webster is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (6 papers) and Spondyloarthritis Studies and Treatments (3 papers). Dan E. Webster collaborates with scholars based in United States, Germany and Australia. Dan E. Webster's co-authors include Paul A. Khavari, Kun Qu, Markus Kretz, Ross J. Flockhart, Zurab Siprashvili, Howard Y. Chang, Grace X. Y. Zheng, Danielle Johnston, Carolyn Lee and Ashley Zehnder and has published in prestigious journals such as Nature, Nature Genetics and Genes & Development.

In The Last Decade

Dan E. Webster

23 papers receiving 2.2k citations

Hit Papers

Control of somatic tissue differentiation by the long non... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan E. Webster United States 14 1.7k 1.4k 176 159 147 24 2.2k
Danielle Johnston Canada 14 1.3k 0.8× 771 0.5× 86 0.5× 103 0.6× 79 0.5× 29 1.6k
Julia D. Ransohoff United States 11 1.1k 0.7× 816 0.6× 69 0.4× 101 0.6× 114 0.8× 17 1.5k
Tjasso Blokzijl Netherlands 25 2.0k 1.2× 1.2k 0.9× 165 0.9× 416 2.6× 492 3.3× 56 2.9k
Alexander Ungewickell United States 13 467 0.3× 165 0.1× 140 0.8× 211 1.3× 191 1.3× 17 977
Felix Kokocinski Germany 16 1.2k 0.7× 384 0.3× 92 0.5× 188 1.2× 84 0.6× 22 2.0k
Mehdi Farshchian United States 16 269 0.2× 174 0.1× 288 1.6× 173 1.1× 274 1.9× 49 924
Joost Kluiver Netherlands 27 2.0k 1.2× 1.9k 1.3× 101 0.6× 381 2.4× 541 3.7× 77 2.9k
Kun Du China 17 936 0.6× 617 0.4× 80 0.5× 43 0.3× 112 0.8× 53 1.4k
Iván Martínez United States 16 935 0.6× 760 0.5× 187 1.1× 152 1.0× 101 0.7× 29 1.3k
Nathan Wong United States 12 1.7k 1.0× 1.3k 1.0× 78 0.4× 206 1.3× 252 1.7× 18 2.2k

Countries citing papers authored by Dan E. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Webster. 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 Dan E. Webster. The network helps show where Dan E. Webster may publish in the future.

Co-authorship network of co-authors of Dan E. Webster

This figure shows the co-authorship network connecting the top 25 collaborators of Dan E. Webster. A scholar is included among the top collaborators of Dan E. Webster 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 Dan E. Webster. Dan E. Webster 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
2.
Zhong, Sheng, Samuel L. Aronson, Francisco M. Rausa, et al.. (2024). Deep Learning-Based Psoriasis Assessment: Harnessing Clinical Trial Imaging for Accurate Psoriasis Area Severity Index Prediction. SHILAP Revista de lepidopterología. 8(1). 13–21. 3 indexed citations
3.
Webster, Dan E., Michael Higgins, David Wing, et al.. (2021). Smartphone-Based VO2max Measurement With Heart Snapshot in Clinical and Real-world Settings With a Diverse Population: Validation Study. JMIR mhealth and uhealth. 9(6). e26006–e26006. 6 indexed citations
4.
Holko, Michelle, Francis Ratsimbazafy, Karthik Natarajan, et al.. (2020). Fitbit "Bring Your Own Device" data in the All of Us Research Program.. AMIA. 2 indexed citations
5.
Bell, Stacie, Joseph F. Merola, Dan E. Webster, et al.. (2020). Aiming for Cure and Preventive Initiatives in Psoriatic Disease: Building Synergy at NPF, GRAPPA, and PPACMAN. Current Rheumatology Reports. 22(11). 78–78. 11 indexed citations
6.
Haberman, Rebecca H., Lourdes M. Pérez-Chada, Evan Siegel, et al.. (2020). Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network Consortium (PPACMAN) 2018 Annual Meeting Summary. 5(2). 68–72. 2 indexed citations
7.
Lee, Carolyn, Angela Mah, Cody J. Aros, et al.. (2018). Cancer-Associated Long Noncoding RNA SMRT-2 Controls Epidermal Differentiation. Journal of Investigative Dermatology. 138(6). 1445–1449. 13 indexed citations
8.
Lopez-Pajares, Vanessa, Kun Qu, Jiajing Zhang, et al.. (2015). A LncRNA-MAF:MAFB Transcription Factor Network Regulates Epidermal Differentiation. Developmental Cell. 32(6). 693–706. 143 indexed citations
9.
Siprashvili, Zurab, Dan E. Webster, Danielle Johnston, et al.. (2015). The noncoding RNAs SNORD50A and SNORD50B bind K-Ras and are recurrently deleted in human cancer. Nature Genetics. 48(1). 53–58. 137 indexed citations
10.
Zheng, Grace X. Y., T. Brian, Dan E. Webster, Paul A. Khavari, & Howard Y. Chang. (2014). Dicer-microRNA-Myc circuit promotes transcription of hundreds of long noncoding RNAs. Nature Structural & Molecular Biology. 21(7). 585–590. 78 indexed citations
11.
Webster, Dan E., Brook C. Barajas, Poornima H. Neela, et al.. (2014). Enhancer-targeted genome editing selectively blocks innate resistance to oncokinase inhibition. Genome Research. 24(5). 751–760. 43 indexed citations
12.
Kretz, Markus, Zurab Siprashvili, Ci Chu, et al.. (2012). Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature. 493(7431). 231–235. 742 indexed citations breakdown →
13.
Zarnegar, Brian, Dan E. Webster, Vanessa Lopez-Pajares, et al.. (2012). Genomic Profiling of a Human Organotypic Model of AEC Syndrome Reveals ZNF750 as an Essential Downstream Target of Mutant TP63. The American Journal of Human Genetics. 91(3). 435–443. 38 indexed citations
14.
Sen, George L., Lisa D. Boxer, Dan E. Webster, et al.. (2012). ZNF750 Is a p63 Target Gene that Induces KLF4 to Drive Terminal Epidermal Differentiation. Developmental Cell. 22(3). 669–677. 174 indexed citations
15.
Kretz, Markus, Dan E. Webster, Ross J. Flockhart, et al.. (2012). Suppression of progenitor differentiation requires the long noncoding RNA ANCR. Genes & Development. 26(4). 338–343. 365 indexed citations
16.
Siprashvili, Zurab, Dan E. Webster, Markus Kretz, et al.. (2012). Identification of proteins binding coding and non-coding human RNAs using protein microarrays. BMC Genomics. 13(1). 633–633. 30 indexed citations
17.
Flockhart, Ross J., Dan E. Webster, Kun Qu, et al.. (2012). BRAFV600E remodels the melanocyte transcriptome and induces BANCR to regulate melanoma cell migration. Genome Research. 22(6). 1006–1014. 232 indexed citations
18.
Webster, Dan E.. (2007). Skeletal Characters and the Systematics of Estrildid Finches (Aves: Estrildidae). Proceedings of the Indiana Academy of Science. 116(1). 90–107. 1 indexed citations
19.
Delgado, David, et al.. (2007). KIR Incompatible NK Cells Effectively Lyse Osteosarcoma Cells.. Blood. 110(11). 4905–4905. 1 indexed citations
20.
Webster, Dan E., et al.. (2000). Morphological and biochemical evaluation of RAW 264.7 cells exposed to polychlorinated biphenyl.. PubMed. 36. 15–20. 1 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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