Devin R. Burrill

794 total citations
9 papers, 563 citations indexed

About

Devin R. Burrill is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Devin R. Burrill has authored 9 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Hematology. Recurrent topics in Devin R. Burrill's work include Gene Regulatory Network Analysis (4 papers), CRISPR and Genetic Engineering (3 papers) and Erythropoietin and Anemia Treatment (2 papers). Devin R. Burrill is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), CRISPR and Genetic Engineering (3 papers) and Erythropoietin and Anemia Treatment (2 papers). Devin R. Burrill collaborates with scholars based in United States, Austria and Canada. Devin R. Burrill's co-authors include Pamela A. Silver, Andyna Vernet, James J. Collins, Michael Lewandowski, Peter Q. Nguyen, Neel Joshi, Fern R. McSorley, Christopher N. Boddy, Shimyn Slomovic and Nina M. Donghia and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Devin R. Burrill

9 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devin R. Burrill United States 7 440 107 86 48 44 9 563
Brian Teague United States 8 586 1.3× 192 1.8× 128 1.5× 33 0.7× 25 0.6× 9 713
Michael Chavez United States 10 323 0.7× 49 0.5× 137 1.6× 29 0.6× 31 0.7× 12 529
Alexander S. Garruss United States 10 1.1k 2.6× 175 1.6× 58 0.7× 21 0.4× 16 0.4× 12 1.3k
Andrew H. Ng United States 11 690 1.6× 120 1.1× 74 0.9× 22 0.5× 25 0.6× 14 767
Michael Zheng United States 6 572 1.3× 88 0.8× 49 0.6× 21 0.4× 16 0.4× 9 761
Joseph B. Wall United States 5 480 1.1× 84 0.8× 44 0.5× 21 0.4× 16 0.4× 5 662
Masafumi Oshiro Japan 3 310 0.7× 116 1.1× 142 1.7× 54 1.1× 48 1.1× 5 456
Jacinth Abraham Canada 8 545 1.2× 110 1.0× 128 1.5× 18 0.4× 107 2.4× 8 746
Ji Hun Kim South Korea 14 546 1.2× 50 0.5× 42 0.5× 37 0.8× 10 0.2× 38 781
Lucia Le Roux United States 13 183 0.4× 73 0.7× 57 0.7× 10 0.2× 67 1.5× 24 422

Countries citing papers authored by Devin R. Burrill

Since Specialization
Citations

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

Fields of papers citing papers by Devin R. Burrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devin R. Burrill. 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 Devin R. Burrill. The network helps show where Devin R. Burrill may publish in the future.

Co-authorship network of co-authors of Devin R. Burrill

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

All Works

9 of 9 papers shown
1.
Way, Jeffrey C., Devin R. Burrill, & Pamela A. Silver. (2022). Bioinspired Design of Artificial Signaling Systems. Biochemistry. 62(2). 178–186. 2 indexed citations
2.
Vernet, Andyna, et al.. (2021). Rational engineering of an erythropoietin fusion protein to treat hypoxia. Protein Engineering Design and Selection. 34. 3 indexed citations
3.
Pardee, Keith, Shimyn Slomovic, Peter Q. Nguyen, et al.. (2016). Portable, On-Demand Biomolecular Manufacturing. Cell. 167(1). 248–259.e12. 270 indexed citations
4.
Burrill, Devin R., Andyna Vernet, James J. Collins, Pamela A. Silver, & Jeffrey C. Way. (2016). Targeted erythropoietin selectively stimulates red blood cell expansion in vivo. Proceedings of the National Academy of Sciences. 113(19). 5245–5250. 12 indexed citations
5.
Burrill, Devin R., Mara C. Inniss, Patrick M. Boyle, & Pamela A. Silver. (2012). Synthetic memory circuits for tracking human cell fate. Genes & Development. 26(13). 1486–1497. 59 indexed citations
6.
Burrill, Devin R., et al.. (2011). A New Approach to an Old Problem: Synthetic Biology Tools for Human Disease and Metabolism. Cold Spring Harbor Symposia on Quantitative Biology. 76(0). 145–154. 6 indexed citations
7.
Fackenthal, James D., Jing Zhang, Bifeng Zhang, et al.. (2011). High prevalence of BRCA1 and BRCA2 mutations in unselected Nigerian breast cancer patients. International Journal of Cancer. 131(5). 1114–1123. 67 indexed citations
8.
Burrill, Devin R. & Pamela A. Silver. (2011). Synthetic circuit identifies subpopulations with sustained memory of DNA damage. Genes & Development. 25(5). 434–439. 28 indexed citations
9.
Burrill, Devin R. & Pamela A. Silver. (2010). Making Cellular Memories. Cell. 140(1). 13–18. 116 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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