Jacqueline M. Cale

17 total papers · 1.0k total citations
15 papers, 829 citations indexed

About

Jacqueline M. Cale is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Jacqueline M. Cale has authored 15 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Physiology. Recurrent topics in Jacqueline M. Cale's work include Renin-Angiotensin System Studies (6 papers), Protease and Inhibitor Mechanisms (5 papers) and Nitric Oxide and Endothelin Effects (5 papers). Jacqueline M. Cale is often cited by papers focused on Renin-Angiotensin System Studies (6 papers), Protease and Inhibitor Mechanisms (5 papers) and Nitric Oxide and Endothelin Effects (5 papers). Jacqueline M. Cale collaborates with scholars based in United States, Sweden and Canada. Jacqueline M. Cale's co-authors include Ian M. Bird, Daniel A. Lawrence, Enming J. Su, Yamei Gao, Dudley K. Strickland, Erika Folestad, Christer Betsholtz, Kris Mann, Melissa Geyer and Kristian Pietras and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Biochemical Journal.

In The Last Decade

Jacqueline M. Cale

15 papers receiving 816 citations

Author Peers

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

Author Last Decade Papers Cites
Jacqueline M. Cale 280 193 156 147 134 15 829
Ilya A. Vinnikov 365 1.3× 191 1.0× 108 0.7× 184 1.3× 40 0.3× 19 912
Erika Folestad 347 1.2× 150 0.8× 194 1.2× 98 0.7× 11 0.1× 16 916
Caitlyn E. Bowman 492 1.8× 127 0.7× 186 1.2× 19 0.1× 39 0.3× 16 939
S Koga 380 1.4× 188 1.0× 93 0.6× 57 0.4× 13 0.1× 13 1.0k
Claes Ladenvall 319 1.1× 103 0.5× 219 1.4× 126 0.9× 9 0.1× 23 888
Yu Liu 591 2.1× 69 0.4× 87 0.6× 85 0.6× 49 0.4× 19 940
Darryl A. Higuchi 173 0.6× 95 0.5× 23 0.1× 339 2.3× 71 0.5× 12 772
Mara Campioni 346 1.2× 71 0.4× 79 0.5× 14 0.1× 142 1.1× 18 870
Janka Kisucka 281 1.0× 86 0.4× 65 0.4× 339 2.3× 12 0.1× 13 1.1k
Patrícia Freitag 346 1.2× 422 2.2× 55 0.4× 244 1.7× 28 0.2× 16 996

Countries citing papers authored by Jacqueline M. Cale

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline M. Cale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline M. Cale. 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 Jacqueline M. Cale. The network helps show where Jacqueline M. Cale may publish in the future.

Co-authorship network of co-authors of Jacqueline M. Cale

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline M. Cale. A scholar is included among the top collaborators of Jacqueline M. Cale 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 Jacqueline M. Cale. Jacqueline M. Cale 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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