Sharon C. Presnell

2.4k total citations · 1 hit paper
45 papers, 1.9k citations indexed

About

Sharon C. Presnell is a scholar working on Molecular Biology, Hepatology and Biomedical Engineering. According to data from OpenAlex, Sharon C. Presnell has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Hepatology and 16 papers in Biomedical Engineering. Recurrent topics in Sharon C. Presnell's work include Liver physiology and pathology (17 papers), 3D Printing in Biomedical Research (16 papers) and Renal and related cancers (8 papers). Sharon C. Presnell is often cited by papers focused on Liver physiology and pathology (17 papers), 3D Printing in Biomedical Research (16 papers) and Renal and related cancers (8 papers). Sharon C. Presnell collaborates with scholars based in United States, Australia and United Kingdom. Sharon C. Presnell's co-authors include Deborah G. Nguyen, Justin B. Robbins, Candace Crogan‐Grundy, Adrian Roth, Thomas P. Singer, Juergen Funk, David A. Gerber, Shelby M. King, Benjamin R. Shepherd and J. William Higgins and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sharon C. Presnell

42 papers receiving 1.8k citations

Hit Papers

Cellular extrusion bioprinting improves kidney organoid r... 2020 2026 2022 2024 2020 100 200 300

Peers

Sharon C. Presnell
Steven D. Forsythe United States
Yang Woo Kwon South Korea
Eliane Wauthier United States
Huanhuan Joyce Chen United States
Jenny Yao United States
Steven D. Forsythe United States
Sharon C. Presnell
Citations per year, relative to Sharon C. Presnell Sharon C. Presnell (= 1×) peers Steven D. Forsythe

Countries citing papers authored by Sharon C. Presnell

Since Specialization
Citations

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

Fields of papers citing papers by Sharon C. Presnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon C. Presnell. 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 Sharon C. Presnell. The network helps show where Sharon C. Presnell may publish in the future.

Co-authorship network of co-authors of Sharon C. Presnell

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon C. Presnell. A scholar is included among the top collaborators of Sharon C. Presnell 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 Sharon C. Presnell. Sharon C. Presnell 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.
Anderson, Sharon M., Trevor W. Stone, Jing Chen, et al.. (2024). Characterization of a human thyroid microtissue model for testing thyroid disrupting chemicals. SHILAP Revista de lepidopterología. 6. 1408808–1408808. 1 indexed citations
2.
Anderson, Sharon M., et al.. (2024). Characterization of diseased primary human hepatocytes in an all-human cell-based triculture system. Scientific Reports. 14(1). 6772–6772. 2 indexed citations
3.
Gianulis, Elena C., et al.. (2023). An All-Human Hepatic Culture System for Drug Development Applications. Journal of Visualized Experiments. 4 indexed citations
4.
Lawlor, Kynan T., Jessica M. Vanslambrouck, J. William Higgins, et al.. (2020). Cellular extrusion bioprinting improves kidney organoid reproducibility and conformation. Nature Materials. 20(2). 260–271. 310 indexed citations breakdown →
5.
Nguyen, Deborah G., et al.. (2019). Bioprinted liver provides early insight into the role of Kupffer cells in TGF-β1 and methotrexate-induced fibrogenesis. PLoS ONE. 14(1). e0208958–e0208958. 65 indexed citations
6.
Langer, Ellen M., Brittany L. Allen-Petersen, Shelby M. King, et al.. (2019). Modeling Tumor Phenotypes In Vitro with Three-Dimensional Bioprinting. Cell Reports. 26(3). 608–623.e6. 192 indexed citations
7.
Hoffman, Ann F., John P. Nolan, David F. Gebhard, et al.. (2018). Society of Biomolecular Imaging and Informatics High-Content Screening/High-Content Analysis Emerging Technologies in Biological Models, When and Why?. Assay and Drug Development Technologies. 16(1). 1–6. 3 indexed citations
8.
Retting, Kelsey N., Candace Crogan‐Grundy, Chirag Khatiwala, et al.. (2018). Modeling Liver Biology and the Tissue Response to Injury in Bioprinted Human Liver Tissues. 4(3). 288–303. 13 indexed citations
9.
King, Shelby M., et al.. (2017). 3D Proximal Tubule Tissues Recapitulate Key Aspects of Renal Physiology to Enable Nephrotoxicity Testing. Frontiers in Physiology. 8. 123–123. 93 indexed citations
10.
Nguyen, Deborah G., et al.. (2016). Editor’s Highlight: Modeling Compound-Induced FibrogenesisIn VitroUsing Three-Dimensional Bioprinted Human Liver Tissues. Toxicological Sciences. 154(2). 354–367. 118 indexed citations
11.
l’Hortet, Alexandra Collin de, Kazuki Takeishi, Jorge Guzman‐Lepe, et al.. (2015). Liver-Regenerative Transplantation: Regrow and Reset. American Journal of Transplantation. 16(6). 1688–1696. 32 indexed citations
12.
Presnell, Sharon C., Andrew T. Bruce, Sumana Choudhury, et al.. (2010). Isolation, Characterization, and Expansion Methods for Defined Primary Renal Cell Populations from Rodent, Canine, and Human Normal and Diseased Kidneys. Tissue Engineering Part C Methods. 17(3). 261–273. 23 indexed citations
13.
Ilagan, Roger M., Christopher W. Genheimer, Sarah Quinlan, et al.. (2010). Smooth muscle phenotypic diversity is mediated through alterations in Myocardin gene splicing. Journal of Cellular Physiology. 226(10). 2702–2711. 11 indexed citations
14.
Presnell, Sharon C., Bryon E. Petersen, & Mohammad A. Heidaran. (2002). Stem cells in adult tissues. Seminars in Cell and Developmental Biology. 13(5). 369–376. 47 indexed citations
15.
Gregory, Christopher W., et al.. (2001). Androgen Receptor Regulation of G1 Cyclin and Cyclin‐Dependent Kinase Function in the CWR22 Human Prostate Cancer Xenograft. Journal of Andrology. 22(4). 537–548. 61 indexed citations
16.
Golubovskaya, Vita, et al.. (1999). Telomere shortening, telomerase expression, and chromosome instability in rat hepatic epithelial stem-like cells. Molecular Carcinogenesis. 24(3). 209–217. 24 indexed citations
17.
Zhang, Zhiping, Maria Eriksson, Gunnar Falk, et al.. (1998). Failure to Achieve Gene Conversion with Chimeric Circular Oligonucleotides: Potentially Misleading PCR Artifacts Observed. Antisense and Nucleic Acid Drug Development. 8(6). 531–536. 34 indexed citations
18.
Presnell, Sharon C., et al.. (1998). Establishment of A Functional Hgf/C– Met Autocrine Loop in Spontaneous Transformants of Wb–F344 Rat Liver Stem–Like Cells. Hepatology. 28(5). 1253–1259. 14 indexed citations
19.
Golubovskaya, Vita, Sharon C. Presnell, Michelle J. Hooth, Gary J. Smith, & William K. Kaufmann. (1997). Expression of telomerase in normal and malignant rat hepatic epithelia. Oncogene. 15(10). 1233–1240. 17 indexed citations
20.
Presnell, Sharon C., Melissa Thompson, & Stephen C. Strom. (1995). Investigation of the cooperative effects of transforming growth factor α and c‐myc overexpression in rat liver epithelial cells. Molecular Carcinogenesis. 13(4). 233–244. 11 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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