Rosalyn D. Abbott

1.7k total citations
37 papers, 1.3k citations indexed

About

Rosalyn D. Abbott is a scholar working on Biomaterials, Biomedical Engineering and Physiology. According to data from OpenAlex, Rosalyn D. Abbott has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomaterials, 13 papers in Biomedical Engineering and 9 papers in Physiology. Recurrent topics in Rosalyn D. Abbott's work include Silk-based biomaterials and applications (14 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and 3D Printing in Biomedical Research (10 papers). Rosalyn D. Abbott is often cited by papers focused on Silk-based biomaterials and applications (14 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and 3D Printing in Biomedical Research (10 papers). Rosalyn D. Abbott collaborates with scholars based in United States. Rosalyn D. Abbott's co-authors include David L. Kaplan, Megan K. DeBari, James C. Iatridis, Dana M. Cairns, Devina Purmessur, Erica P. Kimmerling, Rachel M. Schek, Karolyn Godburn, Bryan A. Ballif and Kacey G. Marra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Scientific Reports.

In The Last Decade

Rosalyn D. Abbott

35 papers receiving 1.3k citations

Peers

Rosalyn D. Abbott

BIOMA

SURGE

PHYSI

Jie Ding Canada

Eiva Bernotienė Lithuania

Tengfei Zhao China

Chi Ma China

Tianzhen Xu China

Michael Wöltje Germany

Zhiguang Qiao China

Jiankun Xu China

Casper Bindzus Foldager Denmark

Wenxue Tong Hong Kong

Jie Ding Canada

Rosalyn D. Abbott

385 ×0.9

497 ×1.2

BIOMA

423 ×1.5

499 ×1.9

SURGE

94 ×0.5

PHYSI

Citations per year, relative to Rosalyn D. Abbott Rosalyn D. Abbott (= 1×) peers Jie Ding

Countries citing papers authored by Rosalyn D. Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Rosalyn D. Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosalyn D. Abbott

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

All Works

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20 of 20 papers shown

Zhou, Fang, Alejandro Soto–Gutiérrez, C. Burcin Taner, et al.. (2025). Engineering a three-dimensional liver steatosis model. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(6). 167888–167888.

Abbott, Rosalyn D., et al.. (2025). Unilocular adipocyte and lipid tracer for immunofluorescent images. Scientific Reports. 15(1). 4643–4643.

Kokai, Lauren, et al.. (2024). Optimization and validation of a fat-on-a-chip model for non-invasive therapeutic drug discovery. Frontiers in Bioengineering and Biotechnology. 12. 1404327–1404327. 2 indexed citations

DeBari, Megan K., et al.. (2023). Development of a More Environmentally Friendly Silk Fibroin Scaffold for Soft Tissue Applications. Journal of Functional Biomaterials. 14(4). 230–230. 8 indexed citations

Abbott, Rosalyn D., et al.. (2023). Adipose Tissue Paracrine-, Autocrine-, and Matrix-Dependent Signaling during the Development and Progression of Obesity. Cells. 12(3). 407–407. 28 indexed citations

Abbott, Rosalyn D., et al.. (2022). Adipose Tissue Development Relies on Coordinated Extracellular Matrix Remodeling, Angiogenesis, and Adipogenesis. Biomedicines. 10(9). 2227–2227. 21 indexed citations

DeBari, Megan K., et al.. (2021). The Materiobiology of Silk: Exploring the Biophysical Influence of Silk Biomaterials on Directing Cellular Behaviors. Frontiers in Bioengineering and Biotechnology. 9. 697981–697981. 21 indexed citations

Williams, Christopher J., et al.. (2020). Fat-On-A-Chip Models for Research and Discovery in Obesity and Its Metabolic Comorbidities. Tissue Engineering Part B Reviews. 26(6). 586–595. 40 indexed citations

DeBari, Megan K., et al.. (2020). Mechanisms of action, chemical characteristics, and model systems of obesogens. SHILAP Revista de lepidopterología. 2(1). 6–6. 26 indexed citations

10.

DeBari, Megan K. & Rosalyn D. Abbott. (2020). Adipose Tissue Fibrosis: Mechanisms, Models, and Importance. International Journal of Molecular Sciences. 21(17). 6030–6030. 92 indexed citations

11.

Nguyen, Hanh T., et al.. (2018). 3D biomaterial matrix to support long term, full thickness, immuno-competent human skin equivalents with nervous system components. Biomaterials. 198. 194–203. 71 indexed citations

12.

Abbott, Rosalyn D., et al.. (2016). Development of a Three-Dimensional Adipose Tissue Model for Studying Embryonic Exposures to Obesogenic Chemicals. Annals of Biomedical Engineering. 45(7). 1807–1818. 23 indexed citations

13.

Abbott, Rosalyn D. & David L. Kaplan. (2015). Strategies for improving the physiological relevance of human engineered tissues. Trends in biotechnology. 33(7). 401–407. 71 indexed citations

14.

Abbott, Rosalyn D., Waseem Raja, Jordan A. Stinson, et al.. (2015). Long term perfusion system supporting adipogenesis. Methods. 84. 84–89. 37 indexed citations

15.

Abbott, Rosalyn D., et al.. (2012). Stress and matrix‐responsive cytoskeletal remodeling in fibroblasts. Journal of Cellular Physiology. 228(1). 50–57. 28 indexed citations

16.

Abbott, Rosalyn D., Alan K. Howe, Hélène M. Langevin, & James C. Iatridis. (2012). Live free or die: Stretch-induced apoptosis occurs when adaptive reorientation of annulus fibrosus cells is restricted. Biochemical and Biophysical Research Communications. 421(2). 361–366. 18 indexed citations

17.

Abbott, Rosalyn D., et al.. (2012). Degenerative Grade Affects the Responses of Human Nucleus Pulposus Cells to Link-N, CTGF, and TGFβ3. Journal of Spinal Disorders & Techniques. 26(3). E86–E94. 26 indexed citations

18.

Purmessur, Devina, Rachel M. Schek, Rosalyn D. Abbott, et al.. (2011). Notochordal conditioned media from tissue increases proteoglycan accumulation and promotes a healthy nucleus pulposus phenotype in human mesenchymal stem cells. Arthritis Research & Therapy. 13(3). R81–R81. 94 indexed citations

19.

Abbott, Rosalyn D., et al.. (2011). Regenerative potential of TGFβ3 + Dex and notochordal cell conditioned media on degenerated human intervertebral disc cells. Journal of Orthopaedic Research®. 30(3). 482–488. 54 indexed citations

20.

Barbir, Ana, Arthur J. Michalek, Rosalyn D. Abbott, & James C. Iatridis. (2010). Effects of enzymatic digestion on compressive properties of rat intervertebral discs. Journal of Biomechanics. 43(6). 1067–1073. 45 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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