Sarah E. Morgan

2.7k total citations
98 papers, 2.1k citations indexed

About

Sarah E. Morgan is a scholar working on Polymers and Plastics, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Sarah E. Morgan has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Polymers and Plastics, 27 papers in Materials Chemistry and 20 papers in Organic Chemistry. Recurrent topics in Sarah E. Morgan's work include Silicone and Siloxane Chemistry (16 papers), Polymer Nanocomposites and Properties (12 papers) and Alzheimer's disease research and treatments (11 papers). Sarah E. Morgan is often cited by papers focused on Silicone and Siloxane Chemistry (16 papers), Polymer Nanocomposites and Properties (12 papers) and Alzheimer's disease research and treatments (11 papers). Sarah E. Morgan collaborates with scholars based in United States, United Kingdom and India. Sarah E. Morgan's co-authors include Charles L. McCormick, Rahul Misra, Christopher M. Sahagun, Bruce X. Fu, Jeffrey S. Wiggins, Vijayaraghavan Rangachari, Katrina M. Knauer, Xiaodan Gu, Roger D. Hester and Robert D. Cook and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Sarah E. Morgan

92 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Morgan United States 28 779 625 392 329 326 98 2.1k
Katsuhiro Yamamoto Japan 28 685 0.9× 739 1.2× 632 1.6× 229 0.7× 136 0.4× 174 2.5k
Noboru Ohta Japan 27 486 0.6× 585 0.9× 509 1.3× 231 0.7× 79 0.2× 125 2.3k
Antoni Sánchez‐Ferrer Switzerland 35 589 0.8× 816 1.3× 521 1.3× 183 0.6× 1.1k 3.3× 110 3.3k
Martin Dulle Germany 25 224 0.3× 774 1.2× 465 1.2× 179 0.5× 289 0.9× 78 2.1k
Xiaohua Zhang China 29 328 0.4× 1.3k 2.1× 259 0.7× 968 2.9× 526 1.6× 160 2.7k
Tomoyuki Koga Japan 21 265 0.3× 237 0.4× 444 1.1× 316 1.0× 120 0.4× 95 1.6k
Gustavo S. Luengo France 27 306 0.4× 404 0.6× 540 1.4× 144 0.4× 272 0.8× 84 2.3k
Hongxia Guo China 32 272 0.3× 1.9k 3.0× 233 0.6× 939 2.9× 738 2.3× 160 4.1k
Santanu Kundu United States 23 305 0.4× 336 0.5× 234 0.6× 87 0.3× 272 0.8× 86 1.6k

Countries citing papers authored by Sarah E. Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah E. Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Morgan. A scholar is included among the top collaborators of Sarah E. Morgan 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 Sarah E. Morgan. Sarah E. Morgan 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
1.
Clemons, Tristan D., et al.. (2025). De Novo Amyloid Peptide–Polymer Blends with Enhanced Mechanical and Biological Properties. ACS Applied Polymer Materials. 7(6). 3739–3751.
2.
Centellas, Polette J., Liping Huang, Sarah E. Morgan, et al.. (2024). Mechanochemically responsive polymer enables shockwave visualization. Nature Communications. 15(1). 8596–8596. 12 indexed citations
3.
Griffin, Anthony, Mark Robertson, Guorong Ma, et al.. (2024). A general strategy to prepare macro-/mesoporous materials from thermoplastic elastomer blends. Journal of Materials Chemistry A. 12(22). 13139–13152. 6 indexed citations
4.
Green, Kevin A., et al.. (2024). Biocompatible Glycopolymer-PLA Amphiphilic Hybrid Block Copolymers with Unique Self-Assembly, Uptake, and Degradation Properties. Biomacromolecules. 25(10). 6681–6692. 2 indexed citations
5.
Zagho, Moustafa M., et al.. (2024). Enhanced thermal conductivity of photopolymerizable rubbery and glassy thiol-ene composites filled with hexagonal boron nitride. International Journal of Heat and Mass Transfer. 237. 126431–126431.
6.
Wang, Xianjun, et al.. (2023). Sugar distributions on gangliosides guide the formation and stability of amyloid-β oligomers. Biophysical Chemistry. 300. 107073–107073. 4 indexed citations
7.
Ma, Guorong, et al.. (2023). Influence of side chain lengths in mechanophore‐containing polyisobutylene‐graft‐polystyrene. Journal of Polymer Science. 61(22). 2851–2865. 2 indexed citations
8.
Walker, W. D., et al.. (2022). Diketoenamine‐Based Vitrimers via Thiol‐ene Photopolymerization. Macromolecular Rapid Communications. 43(24). e2200249–e2200249. 14 indexed citations
9.
Rohde, Brian J., Shuhui Kang, Robson F. Storey, et al.. (2021). Long-Chain Branched Polypentenamer Rubber: Topological Impact on Tensile Properties, Chain Dynamics, and Strain-Induced Crystallization. ACS Applied Polymer Materials. 3(5). 2498–2506. 5 indexed citations
10.
Davis, Ashley N., et al.. (2021). Cationic Glycopolyelectrolytes for RNA Interference in Tick Cells. Biomacromolecules. 23(1). 34–46. 4 indexed citations
11.
Kozlovskaya, Veronika, et al.. (2020). Architecture of Hydrated Multilayer Poly(methacrylic acid) Hydrogels: The Effect of Solution pH. ACS Applied Polymer Materials. 2(6). 2260–2273. 7 indexed citations
12.
Dean, Dexter N., Pradipta Das, Pratip Rana, et al.. (2017). Strain-specific Fibril Propagation by an Aβ Dodecamer. Scientific Reports. 7(1). 40787–40787. 33 indexed citations
13.
Dean, Dexter N., Pradipta Das, Pratip Rana, et al.. (2017). Strain-Specific Propagation by an Amyloid-Beta Dodecamer. Biophysical Journal. 112(3). 362a–362a. 1 indexed citations
14.
Chao, Chien‐Chung, et al.. (2016). Structural characterization of tick cement cones collected from in vivo and artificial membrane blood-fed Lone Star ticks (Amblyomma americanum). Ticks and Tick-borne Diseases. 7(5). 880–892. 40 indexed citations
15.
16.
Savin, Daniel A., et al.. (2013). Kinetics and Control of Self-Assembly of ABH1 Hydrophobin from the Edible White Button Mushroom. Biomacromolecules. 14(7). 2283–2293. 13 indexed citations
17.
Kumar, Amit, et al.. (2012). Specific Soluble Oligomers of Amyloid-β Peptide Undergo Replication and Form Non-fibrillar Aggregates in Interfacial Environments. Journal of Biological Chemistry. 287(25). 21253–21264. 35 indexed citations
18.
Cook, Robert D., Yuhong Wei, Rahul Misra, & Sarah E. Morgan. (2010). DETERMINATION OF POLYHEDRAL OLIGOMERIC SILSESQUIOXANE (POSS) AND NYLON SOLUBILITY PARAMETERS FOR PREDICTING DISPERSION IN POLYMER COMPOSITES. Abstracts of papers - American Chemical Society. 240. 1 indexed citations
19.
Morgan, Sarah E., et al.. (2010). Therapeutic collaborations: Informing the development of therapeutic nanotechnologies through creative practice. RMIT Research Repository (RMIT University Library). 2(1). 198–220. 1 indexed citations
20.
Snaar, J.E.M., Richard Bowtell, Colin D. Melia, et al.. (1998). Self-diffusion and molecular mobility in PVA-based dissolution-controlled systems for drug delivery. Magnetic Resonance Imaging. 16(5-6). 691–694. 17 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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