Timothy Starosta

663 total citations
9 papers, 466 citations indexed

About

Timothy Starosta is a scholar working on Surgery, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Timothy Starosta has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Timothy Starosta's work include Tissue Engineering and Regenerative Medicine (4 papers), Mesenchymal stem cell research (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Timothy Starosta is often cited by papers focused on Tissue Engineering and Regenerative Medicine (4 papers), Mesenchymal stem cell research (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Timothy Starosta collaborates with scholars based in United States, China and France. Timothy Starosta's co-authors include Steven R. Houser, Thomas E. Sharp, Remus M. Berretta, Hajime Kubo, Jason M. Duran, Catherine A. Makarewich, Polina Gross, Sadia Mohsin, Nicholas E. Hoffman and Muniswamy Madesh and has published in prestigious journals such as Circulation Research, Scientific Reports and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Timothy Starosta

9 papers receiving 462 citations

Peers

Timothy Starosta

MB

SURGE

CCM

GENET

RHEUM

Amanda Finan United States

Nancy F. Tojais United States

Inga Duignan United States

Mandy Stubbendorff Germany

Joshua M. Boucher United States

Annick Daniëls Belgium

Lilong Tang United States

Haiwei He China

Elisa Gambini Italy

Katharina S. Volz United States

Amanda Finan United States

Timothy Starosta

285 ×1.1

MB

228 ×1.4

SURGE

176 ×1.2

CCM

199 ×1.7

GENET

30 ×0.4

RHEUM

Citations per year, relative to Timothy Starosta Timothy Starosta (= 1×) peers Amanda Finan

Countries citing papers authored by Timothy Starosta

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Starosta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Starosta

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

All Works

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9 of 9 papers shown

1.

Sharp, Thomas E., Hajime Kubo, Remus M. Berretta, et al.. (2017). Protein Kinase C Inhibition With Ruboxistaurin Increases Contractility and Reduces Heart Size in a Swine Model of Heart Failure With Reduced Ejection Fraction. JACC Basic to Translational Science. 2(6). 669–683. 9 indexed citations

2.

Sharp, Thomas E., Timothy Starosta, Remus M. Berretta, et al.. (2017). Cortical Bone Stem Cell Therapy Preserves Cardiac Structure and Function After Myocardial Infarction. Circulation Research. 121(11). 1263–1278. 38 indexed citations

3.

Gross, Polina, Nicolas Honnorat, Erdem Varol, et al.. (2016). Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images. Scientific Reports. 6(1). 23431–23431. 13 indexed citations

4.

Gross, Polina, Xiaoxiao Zhang, Tao Wang, et al.. (2016). Abstract 296: Loss of Trpc6 Function in Cardiomyocytes Improves Survival and Attenuates Progression of Cardiac Dysfunction After Mi. Circulation Research. 119(suppl_1). 1 indexed citations

5.

Mohsin, Sadia, Constantine D. Troupes, Timothy Starosta, et al.. (2015). Unique Features of Cortical Bone Stem Cells Associated With Repair of the Injured Heart. Circulation Research. 117(12). 1024–1033. 32 indexed citations

6.

Zhang, Xiaoxiao, Xiaoying Zhang, Polina Gross, et al.. (2015). GDF11 Does Not Rescue Aging-Related Pathological Hypertrophy. Circulation Research. 117(11). 926–932. 153 indexed citations

7.

Duran, Jason M., Catherine A. Makarewich, Danielle M. Trappanese, et al.. (2014). Sorafenib Cardiotoxicity Increases Mortality After Myocardial Infarction. Circulation Research. 114(11). 1700–1712. 67 indexed citations

8.

Wang, Fang, Hui Gao, Hajime Kubo, et al.. (2013). T-type Ca2+ channels regulate the exit of cardiac myocytes from the cell cycle after birth. Journal of Molecular and Cellular Cardiology. 62. 122–130. 14 indexed citations

9.

Duran, Jason M., Catherine A. Makarewich, Thomas E. Sharp, et al.. (2013). Bone-Derived Stem Cells Repair the Heart After Myocardial Infarction Through Transdifferentiation and Paracrine Signaling Mechanisms. Circulation Research. 113(5). 539–552. 139 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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