Pearl Quijada

81 total papers · 2.8k total citations
38 papers, 2.0k citations indexed

About

Pearl Quijada is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pearl Quijada has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Surgery and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pearl Quijada's work include Tissue Engineering and Regenerative Medicine (12 papers), Congenital heart defects research (11 papers) and Peptidase Inhibition and Analysis (10 papers). Pearl Quijada is often cited by papers focused on Tissue Engineering and Regenerative Medicine (12 papers), Congenital heart defects research (11 papers) and Peptidase Inhibition and Analysis (10 papers). Pearl Quijada collaborates with scholars based in United States, Germany and Saudi Arabia. Pearl Quijada's co-authors include Mark A. Sussman, Natalie Gude, Shabana Din, Christopher T. Cottage, Kimberlee M. Fischer, Daniele Avitabile, Eric M. Small, Mathias H. Konstandin, Mirko Völkers and Michael A. Trembley 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

Pearl Quijada

38 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Pearl Quijada 1.4k 702 575 294 198 38 2.0k
Soeun Ngoy 1.1k 0.8× 623 0.9× 1.1k 1.8× 247 0.8× 153 0.8× 31 2.2k
Yasunori Shintani 1.2k 0.8× 584 0.8× 1.1k 1.8× 239 0.8× 195 1.0× 58 2.7k
D. Kent Arrell 1.7k 1.2× 493 0.7× 517 0.9× 186 0.6× 120 0.6× 34 2.5k
Alok S. Pachori 1.1k 0.8× 478 0.7× 357 0.6× 187 0.6× 111 0.6× 32 1.8k
Atsushi Iwakura 1.4k 1.0× 718 1.0× 399 0.7× 148 0.5× 304 1.5× 58 2.6k
Valter Agosti 1.2k 0.9× 617 0.9× 253 0.4× 157 0.5× 231 1.2× 43 2.1k
Mirjam B. Smeets 1.3k 0.9× 448 0.6× 474 0.8× 221 0.8× 155 0.8× 26 2.4k
Grazia Esposito 817 0.6× 559 0.8× 641 1.1× 132 0.4× 246 1.2× 29 1.8k
Takashi Omura 883 0.6× 461 0.7× 965 1.7× 288 1.0× 154 0.8× 82 2.2k
Winston Shim 1.5k 1.1× 721 1.0× 801 1.4× 113 0.4× 187 0.9× 74 2.6k

Countries citing papers authored by Pearl Quijada

Since Specialization
Citations

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

Fields of papers citing papers by Pearl Quijada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pearl Quijada

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