Sarah C. Ferrante

908 total citations
8 papers, 742 citations indexed

About

Sarah C. Ferrante is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Sarah C. Ferrante has authored 8 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cancer Research. Recurrent topics in Sarah C. Ferrante's work include Extracellular vesicles in disease (3 papers), Cardiovascular Disease and Adiposity (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Sarah C. Ferrante is often cited by papers focused on Extracellular vesicles in disease (3 papers), Cardiovascular Disease and Adiposity (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Sarah C. Ferrante collaborates with scholars based in United States and Canada. Sarah C. Ferrante's co-authors include Robert J. Freishtat, Evan P. Nadler, Monica J. Hubal, Emily Koeck, Samantha Sevilla, Dinesh K. Pillai, Jason S. Snyder, Heather A. Cameron, Zuyi Wang and Heather Gordish‐Dressman and has published in prestigious journals such as PLoS ONE, Obesity and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Sarah C. Ferrante

8 papers receiving 736 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 C. Ferrante United States 6 492 303 206 152 142 8 742
Ravi Goyal United States 12 278 0.6× 223 0.7× 39 0.2× 93 0.6× 53 0.4× 18 567
Honey B. Golden United States 9 260 0.5× 125 0.4× 92 0.4× 35 0.2× 19 0.1× 11 434
Julian Geiger Denmark 8 328 0.7× 292 1.0× 20 0.1× 53 0.3× 75 0.5× 10 560
Amal Y. Kentab Saudi Arabia 13 443 0.9× 27 0.1× 63 0.3× 92 0.6× 34 0.2× 44 780
Karin Hultman Sweden 13 153 0.3× 75 0.2× 52 0.3× 69 0.5× 181 1.3× 19 584
Yaping Yang United States 16 322 0.7× 51 0.2× 73 0.4× 37 0.2× 47 0.3× 37 654
Ke Ma China 15 322 0.7× 57 0.2× 52 0.3× 113 0.7× 38 0.3× 33 977
Zhongjing Wang China 14 208 0.4× 63 0.2× 55 0.3× 40 0.3× 66 0.5× 35 469
Seung Hun Oh South Korea 12 218 0.4× 169 0.6× 35 0.2× 58 0.4× 23 0.2× 33 472
Guoqiang Yang China 14 202 0.4× 82 0.3× 56 0.3× 47 0.3× 41 0.3× 43 524

Countries citing papers authored by Sarah C. Ferrante

Since Specialization
Citations

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

Fields of papers citing papers by Sarah C. Ferrante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah C. Ferrante

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

All Works

8 of 8 papers shown
1.
Barberio, Matthew D., Lora J. Kasselman, Martin P. Playford, et al.. (2019). Cholesterol efflux alterations in adolescent obesity: role of adipose-derived extracellular vesical microRNAs. Journal of Translational Medicine. 17(1). 232–232. 38 indexed citations
2.
Hackett, Tillie‐Louise, Sarah C. Ferrante, John F. Engelhardt, et al.. (2016). A Heterotopic Xenograft Model of Human Airways for Investigating Fibrosis in Asthma. American Journal of Respiratory Cell and Molecular Biology. 56(3). 291–299. 3 indexed citations
3.
Ferrante, Sarah C., et al.. (2016). Obese Adipocyte-Derived Exosomal Mirnas Targeting TGF-β Signaling are Associated with poor Asthma Control. Journal of Investigative Medicine. 64(3). 813–814. 1 indexed citations
4.
Gutiérrez, María J., José L. Gómez, Geovanny F. Pérez, et al.. (2016). Airway Secretory microRNAome Changes during Rhinovirus Infection in Early Childhood. PLoS ONE. 11(9). e0162244–e0162244. 50 indexed citations
5.
Hubal, Monica J., Evan P. Nadler, Sarah C. Ferrante, et al.. (2016). Circulating adipocyte‐derived exosomal MicroRNAs associated with decreased insulin resistance after gastric bypass. Obesity. 25(1). 102–110. 154 indexed citations
6.
Koeck, Emily, Samantha Sevilla, Sarah C. Ferrante, et al.. (2014). Adipocyte exosomes induce transforming growth factor beta pathway dysregulation in hepatocytes: a novel paradigm for obesity-related liver disease. Journal of Surgical Research. 192(2). 268–275. 165 indexed citations
7.
Ferrante, Sarah C., Evan P. Nadler, Dinesh K. Pillai, et al.. (2014). Adipocyte-derived exosomal miRNAs: a novel mechanism for obesity-related disease. Pediatric Research. 77(3). 447–454. 252 indexed citations
8.
Snyder, Jason S., Sarah C. Ferrante, & Heather A. Cameron. (2012). Late Maturation of Adult-Born Neurons in the Temporal Dentate Gyrus. PLoS ONE. 7(11). e48757–e48757. 79 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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