Patricia Puerta

826 citations
11 papers · 629 indexed · 1 hit paper · h-index 9
Topics
Sensory Analysis and Statistical Methods (5 papers)Epigenetics and DNA Methylation (3 papers)Food composition and properties (2 papers)
Partner nations
SpainUruguayDenmark

In The Last Decade

Patricia Puerta

10 papers receiving 619 citations

Hit Papers

The impact of COVID-19 lockdown on food priorities. Resul...2020202620222024202050100150200

Peers

Patricia Puerta
Comparison fields: 5 of 94
  • Molecular Biology 248
  • Cancer Research 143
  • Food Science 141
  • Economics and Econometrics 101
  • Surgery 73
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Da Shi China
Ruifeng Liu China
Valérie Petit France
Xiaoxian Guo China
Lilian Chan Australia
Lee Matthews United Kingdom
Soyoung An South Korea
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Keiko Aoki Japan
Patricia Puerta relative to Da Shi China Da Shi's profile →
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Countries citing papers authored by Patricia Puerta

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Puerta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Puerta

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Puerta. A scholar is included among the top collaborators of Patricia Puerta 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 Patricia Puerta. Patricia Puerta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 7
3 8
4
The impact of COVID-19 lockdown on food priorities. Results from a preliminary study using social media and an online survey with Spanish consumersbreakdown →
232
5 30
6 31
7 25
8 21
9 40
10 128
11 106

About Patricia Puerta

Patricia Puerta is a scholar working on Food Science, Human-Computer Interaction and Nutrition and Dietetics, having authored 11 papers that have together received 629 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (5 papers), Epigenetics and DNA Methylation (3 papers) and Food composition and properties (2 papers). The work is most often cited by research in Cancer Research (143 citations), Food Science (141 citations) and Marketing (59 citations). Patricia Puerta has collaborated with scholars based in Spain, Uruguay and Denmark. Frequent co-authors include Laura Laguna, Amparo Tárrega, Susana Fiszman, Carolina Chaya, Marta Sänchez‐Carbayo, Rodrigo García-Baquero, J.L. Álvarez-Ossorio, Laura Grau, Sílvia Quadrelli and M. Castro. Their work appears in journals such as The Journal of Urology, American Journal Of Pathology and Food Research International.

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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