Jenna Schreier

8 total papers · 819 total citations
6 papers, 559 citations indexed

About

Jenna Schreier is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jenna Schreier has authored 6 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jenna Schreier's work include Congenital Heart Disease Studies (5 papers), Cardiac Valve Diseases and Treatments (2 papers) and Coronary Artery Anomalies (2 papers). Jenna Schreier is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Cardiac Valve Diseases and Treatments (2 papers) and Coronary Artery Anomalies (2 papers). Jenna Schreier collaborates with scholars based in United States, United Kingdom and Canada. Jenna Schreier's co-authors include Anne Marie Valente, Gabriele Egidy Assenza, Tal Geva, Rachel M. Wald, Zeliha Koyak, Kimberlee Gauvreau, Michael Α. Gatzoulis, Philip J. Kilner, Sonya V. Babu‐Narayan and Barbara J.M. Mulder and has published in prestigious journals such as Heart, Emotion and International Journal of Cardiology.

In The Last Decade

Jenna Schreier

6 papers receiving 538 citations

Hit Papers

Contemporary predictors o... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jenna Schreier 417 290 268 188 50 6 559
Joseph Kay 478 1.1× 406 1.4× 233 0.9× 205 1.1× 27 0.5× 19 673
David S. Chun 130 0.3× 150 0.5× 95 0.4× 71 0.4× 222 4.4× 11 573
Annette Silbert 216 0.5× 55 0.2× 114 0.4× 96 0.5× 15 0.3× 11 645
Richard P. Juster 136 0.3× 71 0.2× 135 0.5× 56 0.3× 56 1.1× 15 624
Heather L. Benson 71 0.2× 42 0.1× 99 0.4× 115 0.6× 31 0.6× 8 590
Leigh J. Passman 79 0.2× 110 0.4× 64 0.2× 46 0.2× 123 2.5× 16 672
J. D. Kabler 30 0.1× 173 0.6× 43 0.2× 176 0.9× 21 0.4× 9 503
Gabriele Born 72 0.2× 77 0.3× 45 0.2× 29 0.2× 10 0.2× 6 635
Molly Kodl 108 0.3× 45 0.2× 54 0.2× 65 0.3× 45 0.9× 10 503
Hwee-Bee Wong 177 0.4× 63 0.2× 102 0.4× 137 0.7× 8 0.2× 17 546

Countries citing papers authored by Jenna Schreier

Since Specialization
Citations

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

Fields of papers citing papers by Jenna Schreier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenna Schreier

This figure shows the co-authorship network connecting the top 25 collaborators of Jenna Schreier. A scholar is included among the top collaborators of Jenna Schreier 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 Jenna Schreier. Jenna Schreier 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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