Paula Traquina

17 total papers · 736 total citations
11 papers, 481 citations indexed

About

Paula Traquina is a scholar working on Immunology, Epidemiology and Microbiology. According to data from OpenAlex, Paula Traquina has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Epidemiology and 3 papers in Microbiology. Recurrent topics in Paula Traquina's work include Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (3 papers) and Respiratory viral infections research (2 papers). Paula Traquina is often cited by papers focused on Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (3 papers) and Respiratory viral infections research (2 papers). Paula Traquina collaborates with scholars based in United States, Taiwan and Austria. Paula Traquina's co-authors include Gary Van Nest, Marsha Wills‐Karp, Joanna Santeliz, Maurizio Morandi, Mario Contorni, John D. Campbell, Robert L. Coffman, B B Aggarwal, Thomas E. Eessalu and Charles Chen and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Paula Traquina

11 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Paula Traquina 249 118 111 104 85 11 481
Deepa Mohanan 292 1.2× 156 1.3× 84 0.8× 49 0.5× 54 0.6× 11 485
Shen Yun Foo 224 0.9× 95 0.8× 87 0.8× 138 1.3× 89 1.0× 8 477
Coline Trichot 186 0.7× 193 1.6× 121 1.1× 74 0.7× 67 0.8× 12 499
Nasrin Perskvist 204 0.8× 180 1.5× 165 1.5× 53 0.5× 179 2.1× 15 522
Lauren Lilly 261 1.0× 74 0.6× 198 1.8× 117 1.1× 142 1.7× 7 507
Lisa M. Connor 385 1.5× 87 0.7× 90 0.8× 55 0.5× 77 0.9× 18 508
M C Shanafelt 252 1.0× 64 0.5× 162 1.5× 111 1.1× 33 0.4× 7 524
Lauren M. Popov 131 0.5× 196 1.7× 97 0.9× 39 0.4× 81 1.0× 9 411
Kristina Röschmann 263 1.1× 92 0.8× 45 0.4× 143 1.4× 77 0.9× 13 505
Yun Pang 197 0.8× 214 1.8× 165 1.5× 70 0.7× 32 0.4× 13 547

Countries citing papers authored by Paula Traquina

Since Specialization
Citations

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

Fields of papers citing papers by Paula Traquina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Traquina

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