Jennifer Pardieck

19 total papers · 461 total citations
12 papers, 342 citations indexed

About

Jennifer Pardieck is a scholar working on Molecular Biology, Developmental Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jennifer Pardieck has authored 12 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jennifer Pardieck's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Jennifer Pardieck is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Jennifer Pardieck collaborates with scholars based in United States, Canada and Hungary. Jennifer Pardieck's co-authors include Shelly E. Sakiyama‐Elbert, Jennifer C. Sullivan, Jennifer S. Pollock, Kelly A. Hyndman, Thomas S. Wilems, Nisha Iyer, Russell E. Thompson, Molly S. Shoichet, Laura J. Smith and Shannon McKinney‐Freeman and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Biomaterials.

In The Last Decade

Jennifer Pardieck

11 papers receiving 340 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 Pardieck 129 90 71 56 44 12 342
Roberta Ramella 187 1.4× 83 0.9× 93 1.3× 38 0.7× 66 1.5× 13 371
Haibo Gu 82 0.6× 46 0.5× 65 0.9× 61 1.1× 61 1.4× 11 321
Judy King Man Ng 182 1.4× 85 0.9× 114 1.6× 43 0.8× 56 1.3× 14 400
Talib Saafir 134 1.0× 38 0.4× 45 0.6× 28 0.5× 35 0.8× 11 330
Maria Wågberg 154 1.2× 70 0.8× 27 0.4× 12 0.2× 49 1.1× 16 338
Laura Novensà 157 1.2× 19 0.2× 105 1.5× 25 0.4× 59 1.3× 10 373
Ismael Sánchez-Gomar 214 1.7× 36 0.4× 18 0.3× 26 0.5× 38 0.9× 22 383
Yongli Xuan 133 1.0× 62 0.7× 176 2.5× 31 0.6× 67 1.5× 21 382
Maria Luiza C. Albuquerque 176 1.4× 74 0.8× 36 0.5× 16 0.3× 34 0.8× 16 396
Thomas A. Blair 171 1.3× 68 0.8× 133 1.9× 16 0.3× 18 0.4× 11 329

Countries citing papers authored by Jennifer Pardieck

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Pardieck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Pardieck

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Pardieck. A scholar is included among the top collaborators of Jennifer Pardieck 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 Pardieck. Jennifer Pardieck 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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2026