Sara Pettaway

744 total citations · 1 hit paper
9 papers, 633 citations indexed

About

Sara Pettaway is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Sara Pettaway has authored 9 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pharmacology. Recurrent topics in Sara Pettaway's work include Cardiac Fibrosis and Remodeling (2 papers), Peptidase Inhibition and Analysis (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Sara Pettaway is often cited by papers focused on Cardiac Fibrosis and Remodeling (2 papers), Peptidase Inhibition and Analysis (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Sara Pettaway collaborates with scholars based in United States, India and Pakistan. Sara Pettaway's co-authors include Jason A. Burdick, Francis G. Spinale, Kia N. Zellars, J. Shuman, Robert C. Gorman, Brendan P. Purcell, Christina B. Logdon, Heather Doviak, David C. Lobb and Parker D. Freels and has published in prestigious journals such as Nature Materials, Journal of Pharmacology and Experimental Therapeutics and Science Translational Medicine.

In The Last Decade

Sara Pettaway

9 papers receiving 630 citations

Hit Papers

Injectable and biorespons... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Pettaway United States 8 267 176 155 152 120 9 633
Thi Yen Loan Le Australia 14 153 0.6× 201 1.1× 264 1.7× 238 1.6× 51 0.4× 22 793
Kemal Baysal Türkiye 14 176 0.7× 138 0.8× 123 0.8× 305 2.0× 80 0.7× 33 853
Chunhu Gu China 12 298 1.1× 162 0.9× 67 0.4× 189 1.2× 82 0.7× 22 579
Yutong He China 19 387 1.4× 443 2.5× 384 2.5× 200 1.3× 47 0.4× 33 1.2k
Evangelia Bellas United States 15 161 0.6× 146 0.8× 259 1.7× 127 0.8× 104 0.9× 18 906
Rui Bao China 16 446 1.7× 529 3.0× 328 2.1× 186 1.2× 114 0.9× 27 1.1k
Chengjun Song China 12 240 0.9× 210 1.2× 83 0.5× 186 1.2× 131 1.1× 40 693
Xuan Wu China 11 228 0.9× 184 1.0× 88 0.6× 315 2.1× 69 0.6× 35 1.2k
Zhila Izadi Iran 16 148 0.6× 178 1.0× 65 0.4× 146 1.0× 42 0.3× 40 610

Countries citing papers authored by Sara Pettaway

Since Specialization
Citations

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

Fields of papers citing papers by Sara Pettaway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Pettaway. 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 Sara Pettaway. The network helps show where Sara Pettaway may publish in the future.

Co-authorship network of co-authors of Sara Pettaway

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

All Works

9 of 9 papers shown
1.
Pandey, Pankaj, Kuldeep K. Roy, Haining Liu, et al.. (2018). Structure-Based Identification of Potent Natural Product Chemotypes as Cannabinoid Receptor 1 Inverse Agonists. Molecules. 23(10). 2630–2630. 11 indexed citations
2.
Adelli, Goutham R., Prakash Bhagav, Pranjal Taskar, et al.. (2017). Development of a Δ 9 -Tetrahydrocannabinol Amino Acid-Dicarboxylate Prodrug With Improved Ocular Bioavailability. Investigative Ophthalmology & Visual Science. 58(4). 2167–2167. 45 indexed citations
3.
Kumarihamy, Mallika, Francisco León, Sara Pettaway, et al.. (2015). In vitro opioid receptor affinity and in vivo behavioral studies of Nelumbo nucifera flower. Journal of Ethnopharmacology. 174. 57–65. 20 indexed citations
4.
Taráwneh, Amer H., Francisco León, Sara Pettaway, et al.. (2015). Flavonoids fromPerovskia atriplicifoliaand Their in Vitro Displacement of the Respective Radioligands for Human Opioid and Cannabinoid Receptors. Journal of Natural Products. 78(6). 1461–1465. 23 indexed citations
5.
Purcell, Brendan P., David C. Lobb, Manoj B. Charati, et al.. (2014). Injectable and bioresponsive hydrogels for on-demand matrix metalloproteinase inhibition. Nature Materials. 13(6). 653–661. 409 indexed citations breakdown →
6.
McGarvey, Jeremy R., Sara Pettaway, J. Shuman, et al.. (2014). Targeted Injection of a Biocomposite Material Alters Macrophage and Fibroblast Phenotype and Function following Myocardial Infarction: Relation to Left Ventricular Remodeling. Journal of Pharmacology and Experimental Therapeutics. 350(3). 701–709. 19 indexed citations
8.
Eckhouse, Shaina R., Brendan P. Purcell, Jeremy R. McGarvey, et al.. (2014). Local Hydrogel Release of Recombinant TIMP-3 Attenuates Adverse Left Ventricular Remodeling After Experimental Myocardial Infarction. Science Translational Medicine. 6(223). 223ra21–223ra21. 88 indexed citations
9.
Taráwneh, Amer H., Francisco León, Mohamed A. Ibrahim, et al.. (2013). Flavanones from Miconia prasina. Phytochemistry Letters. 7. 130–132. 16 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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