Elizabeth M. Leaf

2.3k total citations · 2 hit papers
25 papers, 1.7k citations indexed

About

Elizabeth M. Leaf is a scholar working on Nephrology, Molecular Biology and Rheumatology. According to data from OpenAlex, Elizabeth M. Leaf has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nephrology, 7 papers in Molecular Biology and 7 papers in Rheumatology. Recurrent topics in Elizabeth M. Leaf's work include Parathyroid Disorders and Treatments (10 papers), Bone and Dental Protein Studies (5 papers) and Magnesium in Health and Disease (4 papers). Elizabeth M. Leaf is often cited by papers focused on Parathyroid Disorders and Treatments (10 papers), Bone and Dental Protein Studies (5 papers) and Magnesium in Health and Disease (4 papers). Elizabeth M. Leaf collaborates with scholars based in United States, United Kingdom and Thailand. Elizabeth M. Leaf's co-authors include Cecilia M. Giachelli, Mei Y. Speer, Hsueh-Ying Yang, Mohga El‐Abbadi, Ashwini Pai, Wei-Ling Lin, Thea Brabb, David A. Dichek, Andrew D. Frutkin and Wei Ling Lau and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Elizabeth M. Leaf

24 papers receiving 1.7k citations

Hit Papers

Smooth Muscle Cells Give Rise to Osteochondrogenic Precur... 2009 2026 2014 2020 2009 2023 100 200 300 400

Peers

Elizabeth M. Leaf
Gabrielle Curinga United States
Nicoletta Bivi United States
Steve Ledbetter United States
Susan C. Hubchak United States
Nagako Akeno United States
John E. Skonier United States
Gabrielle Curinga United States
Elizabeth M. Leaf
Citations per year, relative to Elizabeth M. Leaf Elizabeth M. Leaf (= 1×) peers Gabrielle Curinga

Countries citing papers authored by Elizabeth M. Leaf

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth M. Leaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth M. Leaf. 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 Elizabeth M. Leaf. The network helps show where Elizabeth M. Leaf may publish in the future.

Co-authorship network of co-authors of Elizabeth M. Leaf

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth M. Leaf. A scholar is included among the top collaborators of Elizabeth M. Leaf 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 Elizabeth M. Leaf. Elizabeth M. Leaf 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.
Dosey, Annie, Joel D. Allen, Rebecca A. Gillespie, et al.. (2025). From sequence to scaffold: Computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks. Proceedings of the National Academy of Sciences. 122(45). e2409566122–e2409566122.
2.
Lee, Jimin, Cameron Stewart, Alexandra Schäfer, et al.. (2024). A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines. Nature Communications. 15(1). 5496–5496. 7 indexed citations
3.
Corti, Davide, Cameron Stewart, Young‐Jun Park, et al.. (2024). A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines. UNC Libraries. 1 indexed citations
4.
Wang, Shunzhi, Christoffer Norn, Alexis Courbet, et al.. (2023). Top-down design of protein architectures with reinforcement learning. Science. 380(6642). 266–273. 76 indexed citations breakdown →
5.
Lee, Jimin, Samantha K. Zepeda, Young‐Jun Park, et al.. (2023). Broad receptor tropism and immunogenicity of a clade 3 sarbecovirus. Cell Host & Microbe. 31(12). 1961–1973.e11. 11 indexed citations
6.
Speer, Mei Y., et al.. (2021). Role of Runx2 in Calcific Aortic Valve Disease in Mouse Models. Frontiers in Cardiovascular Medicine. 8. 687210–687210. 21 indexed citations
7.
Chavkin, Nicholas W., et al.. (2021). Adapter Protein RapGEF1 Is Required for ERK1/2 Signaling in Response to Elevated Phosphate in Vascular Smooth Muscle Cells. Journal of Vascular Research. 58(5). 277–285. 4 indexed citations
8.
Leaf, Elizabeth M., et al.. (2021). Engineered osteoclasts resorb necrotic alveolar bone in anti-RANKL antibody-treated mice. Bone. 153. 116144–116144. 7 indexed citations
9.
Scatena, Marta, Melissa F. Jackson, Mei Y. Speer, et al.. (2018). Increased Calcific Aortic Valve Disease in response to a diabetogenic, procalcific diet in the LDLr -/- ApoB 100/100 mouse model. Cardiovascular Pathology. 34. 28–37. 22 indexed citations
10.
Yamada, Shunsuke, Elizabeth M. Leaf, Jia Jun Chia, et al.. (2018). PiT-2, a type III sodium-dependent phosphate transporter, protects against vascular calcification in mice with chronic kidney disease fed a high-phosphate diet. Kidney International. 94(4). 716–727. 42 indexed citations
11.
Paloian, Neil J., Elizabeth M. Leaf, & Cecilia M. Giachelli. (2016). Osteopontin protects against high phosphate-induced nephrocalcinosis and vascular calcification. Kidney International. 89(5). 1027–1036. 68 indexed citations
13.
Leaf, Elizabeth M., et al.. (2015). Runx2 Expression in Smooth Muscle Cells Is Required for Arterial Medial Calcification in Mice. American Journal Of Pathology. 185(7). 1958–1969. 109 indexed citations
14.
Leaf, Elizabeth M., Jie Hu, Hsueh-Ying Yang, et al.. (2012). Sources of cells that contribute to atherosclerotic intimal calcification: an in vivo genetic fate mapping study. Cardiovascular Research. 94(3). 545–554. 116 indexed citations
15.
Lau, Wei Ling, Elizabeth M. Leaf, Ming Chang Hu, et al.. (2012). Vitamin D receptor agonists increase klotho and osteopontin while decreasing aortic calcification in mice with chronic kidney disease fed a high phosphate diet. Kidney International. 82(12). 1261–1270. 208 indexed citations
16.
Pai, Ashwini, Elizabeth M. Leaf, Mohga El‐Abbadi, & Cecilia M. Giachelli. (2011). Elastin Degradation and Vascular Smooth Muscle Cell Phenotype Change Precede Cell Loss and Arterial Medial Calcification in a Uremic Mouse Model of Chronic Kidney Disease. American Journal Of Pathology. 178(2). 764–773. 141 indexed citations
17.
El‐Abbadi, Mohga, Ashwini Pai, Elizabeth M. Leaf, et al.. (2009). Phosphate feeding induces arterial medial calcification in uremic mice: role of serum phosphorus, fibroblast growth factor-23, and osteopontin. Kidney International. 75(12). 1297–1307. 181 indexed citations
18.
Carmean, Nicole, et al.. (2007). Translocation of fibroblast growth factor‐10 and its receptor into nuclei of human urothelial cells. Journal of Cellular Biochemistry. 102(3). 769–785. 8 indexed citations
19.
Carmean, Nicole, et al.. (2007). Immortalization of human urothelial cells by human papillomavirus type 16 E6 and E7 genes in a defined serum‐free system. Cell Proliferation. 40(2). 166–184. 5 indexed citations
20.
Carmean, Nicole, et al.. (2007). The Motif of SPARC that Inhibits DNA Synthesis Is not a Nuclear Localization Signal. Journal of Molecular Biology. 371(4). 883–901. 7 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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