Amy E. Thurber

804 total citations · 1 hit paper
8 papers, 631 citations indexed

About

Amy E. Thurber is a scholar working on Molecular Biology, Biomaterials and Cell Biology. According to data from OpenAlex, Amy E. Thurber has authored 8 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Cell Biology. Recurrent topics in Amy E. Thurber's work include Silk-based biomaterials and applications (2 papers), melanin and skin pigmentation (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Amy E. Thurber is often cited by papers focused on Silk-based biomaterials and applications (2 papers), melanin and skin pigmentation (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Amy E. Thurber collaborates with scholars based in United States, Australia and Italy. Amy E. Thurber's co-authors include David L. Kaplan, Fiorenzo G. Omenetto, Darren J. Smit, Richard A. Sturm, J. Helen Leonard, Anthony L. Cook, Aaron G. Smith, Darren L. Brown, Jessica Wilks and Wei Chen and has published in prestigious journals such as Biomaterials, Oncogene and Journal of Investigative Dermatology.

In The Last Decade

Amy E. Thurber

8 papers receiving 625 citations

Hit Papers

In vivo bioresponses to silk proteins 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy E. Thurber United States 8 347 223 147 109 60 8 631
Piyush Koria United States 15 255 0.7× 222 1.0× 133 0.9× 92 0.8× 36 0.6× 24 695
Xuewen Gou United States 12 153 0.4× 222 1.0× 79 0.5× 130 1.2× 41 0.7× 12 639
Laura E. Dickinson United States 10 406 1.2× 159 0.7× 328 2.2× 100 0.9× 24 0.4× 13 880
Passant Atallah Germany 11 254 0.7× 154 0.7× 230 1.6× 156 1.4× 9 0.1× 17 755
Xanthe L. Strudwick Australia 14 178 0.5× 169 0.8× 96 0.7× 122 1.1× 65 1.1× 31 777
Lucas Schirmer Germany 10 283 0.8× 111 0.5× 301 2.0× 117 1.1× 9 0.1× 14 783
Yufeng Shou Singapore 13 146 0.4× 94 0.4× 223 1.5× 75 0.7× 46 0.8× 19 591
Elias Sideris United States 7 357 1.0× 146 0.7× 460 3.1× 83 0.8× 11 0.2× 7 904
Monika Holeiter Germany 8 256 0.7× 158 0.7× 254 1.7× 74 0.7× 59 1.0× 8 678
Blanca Duarte Spain 13 146 0.4× 506 2.3× 67 0.5× 186 1.7× 57 0.9× 20 924

Countries citing papers authored by Amy E. Thurber

Since Specialization
Citations

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

Fields of papers citing papers by Amy E. Thurber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy E. Thurber

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

All Works

8 of 8 papers shown
1.
Thurber, Amy E., Michaela Nelson, Crystal L. Frost, et al.. (2017). IK channel activation increases tumor growth and induces differential behavioral responses in two breast epithelial cell lines. Oncotarget. 8(26). 42382–42397. 11 indexed citations
2.
Thurber, Amy E., Fiorenzo G. Omenetto, & David L. Kaplan. (2015). In vivo bioresponses to silk proteins. Biomaterials. 71. 145–157. 368 indexed citations breakdown →
3.
Tang‐Schomer, Min D., et al.. (2013). Neural circuits with long-distance axon tracts for determining functional connectivity. Journal of Neuroscience Methods. 222. 82–90. 13 indexed citations
4.
Thurber, Amy E., Gillian Douglas, Ernest Sturm, et al.. (2011). Inverse expression states of the BRN2 and MITF transcription factors in melanoma spheres and tumour xenografts regulate the NOTCH pathway. Oncogene. 30(27). 3036–3048. 71 indexed citations
5.
Kluge, Jonathan A., Amy E. Thurber, Gary G. Leisk, David L. Kaplan, & Luis Dorfmann. (2010). A model for the stretch-mediated enzymatic degradation of silk fibers. Journal of the mechanical behavior of biomedical materials. 3(7). 538–547. 14 indexed citations
6.
Cook, Anthony L., Wei Chen, Amy E. Thurber, et al.. (2008). Analysis of Cultured Human Melanocytes Based on Polymorphisms within the SLC45A2/MATP, SLC24A5/NCKX5, and OCA2/P Loci. Journal of Investigative Dermatology. 129(2). 392–405. 85 indexed citations
7.
Smith, Aaron G., Kimberley A. Beaumont, Darren J. Smit, et al.. (2008). PPARγ agonists attenuate proliferation and modulate Wnt/β-catenin signalling in melanoma cells. The International Journal of Biochemistry & Cell Biology. 41(4). 844–852. 32 indexed citations
8.
Yohannes, Elizabeth, et al.. (2005). Polyamine stress at high pH in Escherichia coli K-12. BMC Microbiology. 5(1). 59–59. 37 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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