Paula Díaz

47 total papers · 558 total citations
24 papers, 224 citations indexed

About

Paula Díaz is a scholar working on Food Science, Infectious Diseases and Biotechnology. According to data from OpenAlex, Paula Díaz has authored 24 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 10 papers in Infectious Diseases and 6 papers in Biotechnology. Recurrent topics in Paula Díaz's work include Salmonella and Campylobacter epidemiology (12 papers), Listeria monocytogenes in Food Safety (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Paula Díaz is often cited by papers focused on Salmonella and Campylobacter epidemiology (12 papers), Listeria monocytogenes in Food Safety (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Paula Díaz collaborates with scholars based in Colombia, United States and Argentina. Paula Díaz's co-authors include Magdalena Wiesner, Fernando de la Hoz, Olga Sanabria, Jaime Moreno, Carolina Duarte, María Virginia Villegas, Lorena Díaz, Adriana Correa, César A. Arias and María Victoria Ovalle and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Vaccine and PLoS neglected tropical diseases.

In The Last Decade

Paula Díaz

23 papers receiving 219 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 Díaz 79 73 67 55 43 24 224
N. Harnett 51 0.6× 72 1.0× 57 0.9× 71 1.3× 71 1.7× 23 328
Kgaugelo E. Lekota 107 1.4× 99 1.4× 69 1.0× 61 1.1× 70 1.6× 43 294
Kristina Osbjer 86 1.1× 75 1.0× 32 0.5× 94 1.7× 41 1.0× 17 316
Voong Vinh Phat 117 1.5× 113 1.5× 69 1.0× 109 2.0× 30 0.7× 12 281
Naïma El Mdaghri 51 0.6× 122 1.7× 76 1.1× 66 1.2× 39 0.9× 31 310
Éva Kaszanyitzky 101 1.3× 66 0.9× 37 0.6× 116 2.1× 68 1.6× 17 314
Linda Mueller 58 0.7× 144 2.0× 67 1.0× 61 1.1× 40 0.9× 17 317
Daniel Nenene Qekwana 78 1.0× 69 0.9× 32 0.5× 110 2.0× 83 1.9× 37 308
Elena Lavinia Diaconu 104 1.3× 132 1.8× 46 0.7× 41 0.7× 25 0.6× 18 231
Marwa Ahmed 109 1.4× 98 1.3× 54 0.8× 72 1.3× 57 1.3× 26 314

Countries citing papers authored by Paula Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Paula Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Díaz

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