Anthony Shafer

21.1k total citations
9 papers, 872 citations indexed

About

Anthony Shafer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Anthony Shafer has authored 9 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Genetics. Recurrent topics in Anthony Shafer's work include Genomics and Chromatin Dynamics (7 papers), Cancer-related gene regulation (4 papers) and Epigenetics and DNA Methylation (4 papers). Anthony Shafer is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Cancer-related gene regulation (4 papers) and Epigenetics and DNA Methylation (4 papers). Anthony Shafer collaborates with scholars based in United States and United Kingdom. Anthony Shafer's co-authors include J Stamatoyannopoulos, Matthew T. Maurano, Eric Haugen, Richard Sandstrom, Kristen Lee, Hao Wang, Sam John, Theresa K. Canfield, Peter J. Sabo and Jeff Vierstra and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Anthony Shafer

9 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony Shafer United States	6	775	235	80	71	49	9	872
David Dickerson United States	7	615 0.8×	231 1.0×	73 0.9×	60 0.8×	29 0.6×	8	694
Mee J. Kim United States	9	773 1.0×	229 1.0×	67 0.8×	54 0.8×	32 0.7×	12	905
Sandra S. de Vries Netherlands	7	612 0.8×	209 0.9×	96 1.2×	101 1.4×	36 0.7×	7	773
E. Christopher Partridge United States	11	619 0.8×	278 1.2×	115 1.4×	130 1.8×	46 0.9×	20	835
H. Shuen Lo United States	6	522 0.7×	191 0.8×	61 0.8×	61 0.9×	32 0.7×	7	647
Anason Halees United States	9	458 0.6×	196 0.8×	37 0.5×	96 1.4×	60 1.2×	14	644
Sowmya Iyer United States	3	619 0.8×	106 0.5×	60 0.8×	77 1.1×	41 0.8×	3	711
Sophie Chantalat France	8	459 0.6×	165 0.7×	44 0.6×	124 1.7×	29 0.6×	9	538
Maxim Barenboim Germany	10	536 0.7×	116 0.5×	99 1.2×	107 1.5×	39 0.8×	12	645
Elisabeth Simboeck Austria	9	775 1.0×	102 0.4×	143 1.8×	69 1.0×	39 0.8×	11	872

Countries citing papers authored by Anthony Shafer

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Shafer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Shafer

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Maurano, Matthew T., Eric Haugen, Richard Sandstrom, et al.. (2015). Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo. Nature Genetics. 47(12). 1393–1401. 139 indexed citations

Maurano, Matthew T., Hao Wang, Sam John, et al.. (2015). Role of DNA Methylation in Modulating Transcription Factor Occupancy. Cell Reports. 12(7). 1184–1195. 200 indexed citations

Stergachis, Andrew B., Eric Haugen, Anthony Shafer, et al.. (2013). Exonic Transcription Factor Binding Directs Codon Choice and Affects Protein Evolution. Science. 342(6164). 1367–1372. 203 indexed citations

Maurano, Matthew T., Hao Wang, Anthony Shafer, Sam John, & J Stamatoyannopoulos. (2013). DNA methylation alone does not cause most cell-type selective transcription factor binding. Epigenetics & Chromatin. 6(S1). 3 indexed citations

Lazarovici, Allan, Tianyin Zhou, Anthony Shafer, et al.. (2013). Probing DNA shape and methylation state on a genomic scale with DNase I. Proceedings of the National Academy of Sciences. 110(16). 6376–6381. 119 indexed citations

Lazarovici, Allan, Tianyin Zhou, Anthony Shafer, et al.. (2013). 103 Probing DNA shape and methylation state on a genomic scale with DNase I. Journal of Biomolecular Structure and Dynamics. 31(sup1). 65–65. 1 indexed citations

Deeb, S S, et al.. (2004). Novel Regulatory Regions of the Human L/M Photopigment Gene Locus.. Investigative Ophthalmology & Visual Science. 45(13). 654–654. 1 indexed citations

Dorschner, Michael O., Michael Hawrylycz, Richard Humbert, et al.. (2004). High-throughput localization of functional elements by quantitative chromatin profiling. Nature Methods. 1(3). 219–225. 102 indexed citations

Sabo, Peter J., Michael Hawrylycz, James C. Wallace, et al.. (2004). Discovery of functional noncoding elements by digital analysis of chromatin structure. Proceedings of the National Academy of Sciences. 101(48). 16837–16842. 104 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.

Explore authors with similar magnitude of impact