Allison D. Skinkle

736 total citations
9 papers, 506 citations indexed

About

Allison D. Skinkle is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Allison D. Skinkle has authored 9 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Biomedical Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Allison D. Skinkle's work include Lipid Membrane Structure and Behavior (8 papers), Nanopore and Nanochannel Transport Studies (6 papers) and RNA Interference and Gene Delivery (3 papers). Allison D. Skinkle is often cited by papers focused on Lipid Membrane Structure and Behavior (8 papers), Nanopore and Nanochannel Transport Studies (6 papers) and RNA Interference and Gene Delivery (3 papers). Allison D. Skinkle collaborates with scholars based in United States. Allison D. Skinkle's co-authors include Ilya Levental, Joseph H. Lorent, M. Neal Waxham, Michał A. Surma, Kandice R. Levental, Frederick A. Heberle, Haden L. Scott, Alemayehu A. Gorfe, Xubo Lin and Milka Doktorova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry B and Biophysical Journal.

In The Last Decade

Allison D. Skinkle

8 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison D. Skinkle United States 7 426 99 79 64 53 9 506
Jessica L. Symons United States 7 327 0.8× 66 0.7× 43 0.5× 49 0.8× 47 0.9× 14 526
Thais A. Enoki United States 12 436 1.0× 121 1.2× 109 1.4× 93 1.5× 44 0.8× 19 514
Jan Peychl Germany 9 264 0.6× 82 0.8× 17 0.2× 57 0.9× 43 0.8× 15 504
Naomi L. Pollock United Kingdom 13 408 1.0× 52 0.5× 24 0.3× 18 0.3× 8 0.2× 21 520
Remo Bottega Canada 9 583 1.4× 23 0.2× 30 0.4× 31 0.5× 26 0.5× 9 636
Jesper Levring United States 8 328 0.8× 47 0.5× 41 0.5× 83 1.3× 200 3.8× 8 613
Christian Le Grimellec France 8 263 0.6× 90 0.9× 217 2.7× 80 1.3× 21 0.4× 11 461
Sung Chang Lee United States 10 517 1.2× 45 0.5× 12 0.2× 19 0.3× 22 0.4× 11 727
Flaviyan Jerome Irudayanathan United States 11 272 0.6× 33 0.3× 16 0.2× 53 0.8× 32 0.6× 14 395
Sheeja V. Vasudevan India 9 391 0.9× 50 0.5× 104 1.3× 25 0.4× 49 0.9× 12 447

Countries citing papers authored by Allison D. Skinkle

Since Specialization
Citations

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

Fields of papers citing papers by Allison D. Skinkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison D. Skinkle. 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 Allison D. Skinkle. The network helps show where Allison D. Skinkle may publish in the future.

Co-authorship network of co-authors of Allison D. Skinkle

This figure shows the co-authorship network connecting the top 25 collaborators of Allison D. Skinkle. A scholar is included among the top collaborators of Allison D. Skinkle 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 Allison D. Skinkle. Allison D. Skinkle 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.
Heberle, Frederick A., Milka Doktorova, Haden L. Scott, et al.. (2020). Direct label-free imaging of nanodomains in biomimetic and biological membranes by cryogenic electron microscopy. Proceedings of the National Academy of Sciences. 117(33). 19943–19952. 86 indexed citations
2.
Skinkle, Allison D., Kandice R. Levental, & Ilya Levental. (2020). Cell-Derived Plasma Membrane Vesicles Are Permeable to Hydrophilic Macromolecules. Biophysical Journal. 118(6). 1292–1300. 21 indexed citations
3.
4.
Scott, Haden L., Allison D. Skinkle, Elizabeth G. Kelley, et al.. (2019). On the Mechanism of Bilayer Separation by Extrusion, or Why Your LUVs Are Not Really Unilamellar. Biophysical Journal. 117(8). 1381–1386. 84 indexed citations
5.
Cornell, Caitlin E., et al.. (2018). Tuning Length Scales of Small Domains in Cell-Derived Membranes and Synthetic Model Membranes. Biophysical Journal. 115(4). 690–701. 21 indexed citations
6.
Cornell, Caitlin E., Allison D. Skinkle, Ilya Levental, Kandice R. Levental, & Sarah L. Keller. (2018). Manipulation of Length Scales in a Modulated Phase in Cell-Derived GPMVs and Synthetic Model GUVs. Biophysical Journal. 114(3). 450a–450a. 1 indexed citations
7.
Levental, Kandice R., Michał A. Surma, Allison D. Skinkle, et al.. (2017). ω-3 polyunsaturated fatty acids direct differentiation of the membrane phenotype in mesenchymal stem cells to potentiate osteogenesis. Science Advances. 3(11). eaao1193–eaao1193. 105 indexed citations
8.
Lorent, Joseph H., Xubo Lin, Allison D. Skinkle, et al.. (2016). Polyunsaturated Lipids Regulate Membrane Domain Stability by Tuning Membrane Order. Biophysical Journal. 110(8). 1800–1810. 140 indexed citations
9.
Lin, Xubo, Joseph H. Lorent, Allison D. Skinkle, et al.. (2016). Domain Stability in Biomimetic Membranes Driven by Lipid Polyunsaturation. The Journal of Physical Chemistry B. 120(46). 11930–11941. 48 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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