Sharon Cresci

116 total papers · 4.2k total citations
71 papers, 2.2k citations indexed

About

Sharon Cresci is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Sharon Cresci has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 26 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Sharon Cresci's work include Cardiovascular Function and Risk Factors (20 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Cardiomyopathy and Myosin Studies (12 papers). Sharon Cresci is often cited by papers focused on Cardiovascular Function and Risk Factors (20 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Cardiomyopathy and Myosin Studies (12 papers). Sharon Cresci collaborates with scholars based in United States, Germany and Brazil. Sharon Cresci's co-authors include Daniel P. Kelly, D D Moore, John A. Spertus, Gerald W. Dorn, Carmen C. Sucharov, David E. Lanfear, John J. Lehman, Smita Sihag, Sharon L. R. Kardia and Reagan Kelly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Sharon Cresci

67 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sharon Cresci	1.2k	876	585	231	226	71	2.2k
Yuning Huang	953 0.8×	655 0.7×	548 0.9×	407 1.8×	234 1.0×	42	2.5k
Hartmut Ruetten	998 0.8×	838 1.0×	957 1.6×	294 1.3×	288 1.3×	57	2.8k
Julia Blanco	855 0.7×	537 0.6×	221 0.4×	320 1.4×	292 1.3×	43	2.7k
Lei Zhao	1.1k 0.9×	576 0.7×	320 0.5×	243 1.1×	370 1.6×	103	2.9k
E. E. Muirhead	650 0.6×	508 0.6×	536 0.9×	427 1.8×	208 0.9×	117	2.4k
Andreas Gardemann	666 0.6×	779 0.9×	457 0.8×	505 2.2×	525 2.3×	74	2.7k
Luisa Lenti	947 0.8×	363 0.4×	438 0.7×	226 1.0×	384 1.7×	44	2.5k
Elisa Pagnin	1.1k 1.0×	541 0.6×	561 1.0×	528 2.3×	338 1.5×	92	2.9k
Carlos Martı́nez-Salgado	956 0.8×	320 0.4×	413 0.7×	146 0.6×	209 0.9×	95	2.6k
Chagriya Kitiyakara	541 0.5×	546 0.6×	486 0.8×	348 1.5×	220 1.0×	84	2.7k

Countries citing papers authored by Sharon Cresci

Since Specialization

Citations

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

Fields of papers citing papers by Sharon Cresci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon Cresci

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

All Works

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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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