Paula Rambarat

27 total papers · 875 total citations
15 papers, 556 citations indexed

About

Paula Rambarat is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Paula Rambarat has authored 15 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Surgery. Recurrent topics in Paula Rambarat's work include Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Paula Rambarat is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Paula Rambarat collaborates with scholars based in United States, China and Hungary. Paula Rambarat's co-authors include Leyre Zubiri, Daniel A. Zlotoff, Hannah Gilman, Sean Murphy, Charlotte Lee, Vineet K. Raghu, Zsófia D. Drobni, Ryan J. Sullivan, Tomas G. Neilan and Jingyi Gong and has published in prestigious journals such as Science, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Paula Rambarat

12 papers receiving 545 citations

Hit Papers

Association Between Immun... 2020 2026 2022 2024 2020 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
Paula Rambarat 235 192 188 90 77 15 556
Paul C. Canniff 150 0.6× 243 1.3× 185 1.0× 67 0.7× 41 0.5× 19 518
Sudeep Chandra 155 0.7× 242 1.3× 63 0.3× 26 0.3× 89 1.2× 23 672
Calvin Yee 122 0.5× 285 1.5× 34 0.2× 149 1.7× 76 1.0× 13 669
Christelle David 97 0.4× 207 1.1× 166 0.9× 104 1.2× 63 0.8× 13 521
Claudia Esposito 170 0.7× 186 1.0× 124 0.7× 19 0.2× 133 1.7× 22 553
Nakon Aroonsakool 67 0.3× 395 2.1× 144 0.8× 52 0.6× 61 0.8× 14 646
Takanori Moriki 137 0.6× 232 1.2× 63 0.3× 27 0.3× 39 0.5× 17 573
Bartosz J. Zieba 304 1.3× 323 1.7× 58 0.3× 25 0.3× 25 0.3× 12 648
Wolfgang Rollinger 220 0.9× 312 1.6× 128 0.7× 18 0.2× 68 0.9× 8 658
John Dixon 74 0.3× 180 0.9× 122 0.6× 41 0.5× 55 0.7× 11 507

Countries citing papers authored by Paula Rambarat

Since Specialization
Citations

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

Fields of papers citing papers by Paula Rambarat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Rambarat

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