Jennifer E. Naugle

15 total papers · 797 total citations
7 papers, 647 citations indexed

About

Jennifer E. Naugle is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jennifer E. Naugle has authored 7 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Jennifer E. Naugle's work include Cardiac Fibrosis and Remodeling (5 papers), Peptidase Inhibition and Analysis (3 papers) and Signaling Pathways in Disease (3 papers). Jennifer E. Naugle is often cited by papers focused on Cardiac Fibrosis and Remodeling (5 papers), Peptidase Inhibition and Analysis (3 papers) and Signaling Pathways in Disease (3 papers). Jennifer E. Naugle collaborates with scholars based in United States. Jennifer E. Naugle's co-authors include J. Gary Meszaros, Erik R. Olson, Paul A. Insel, James S. Swaney, David M. Roth, Joshua A. Bomser, Xiaojin Zhang, Patricia E. Shamhart, Walter I. Horne and Xiaojin Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The FASEB Journal.

In The Last Decade

Jennifer E. Naugle

7 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer E. Naugle 335 309 127 112 49 7 647
Xianmin Xu 329 1.0× 335 1.1× 66 0.5× 83 0.7× 21 0.4× 8 783
Guangrong Lu 195 0.6× 498 1.6× 58 0.5× 104 0.9× 28 0.6× 7 673
Xiaowei Ma 222 0.7× 382 1.2× 116 0.9× 40 0.4× 73 1.5× 10 663
Rafael L Gomez-Amaro 326 1.0× 387 1.3× 182 1.4× 65 0.6× 69 1.4× 8 753
Shoko Sugiyama 205 0.6× 356 1.2× 123 1.0× 89 0.8× 79 1.6× 15 670
Tania Nevers 424 1.3× 302 1.0× 109 0.9× 97 0.9× 54 1.1× 10 712
Craig W. Younce 142 0.4× 310 1.0× 100 0.8× 90 0.8× 27 0.6× 7 718
Jennifer L. McLarty 424 1.3× 264 0.9× 103 0.8× 81 0.7× 62 1.3× 11 788
Florence Tortosa 327 1.0× 392 1.3× 113 0.9× 49 0.4× 43 0.9× 13 754
Darrian Bugg 273 0.8× 297 1.0× 119 0.9× 84 0.8× 43 0.9× 10 609

Countries citing papers authored by Jennifer E. Naugle

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Naugle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Naugle. 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 Jennifer E. Naugle. The network helps show where Jennifer E. Naugle may publish in the future.

Co-authorship network of co-authors of Jennifer E. Naugle

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Naugle. A scholar is included among the top collaborators of Jennifer E. Naugle 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 Jennifer E. Naugle. Jennifer E. Naugle 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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