Paola Everardo

1.1k total citations
2 papers, 5 citations indexed

About

Paola Everardo is a scholar working on Sociology and Political Science, Management of Technology and Innovation and Microbiology. According to data from OpenAlex, Paola Everardo has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Management of Technology and Innovation and 1 paper in Microbiology. Recurrent topics in Paola Everardo's work include Immune Cell Function and Interaction (1 paper), Microbial infections and disease research (1 paper) and Family Business Performance and Succession (1 paper). Paola Everardo is often cited by papers focused on Immune Cell Function and Interaction (1 paper), Microbial infections and disease research (1 paper) and Family Business Performance and Succession (1 paper). Paola Everardo collaborates with scholars based in Mexico, Germany and Spain. Paola Everardo's co-authors include Julio Granados, Rodrigo Barquera and Joaquı́n Zúñiga and has published in prestigious journals such as Human Biology and Papers Revista de Sociologia.

In The Last Decade

Paola Everardo

2 papers receiving 5 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paola Everardo Mexico	2	3	2	2	1	1	2	5
Loreto Horcada Spain	2	3 1.0×		2 1.0×			4	5
Jose Antonio Pérez de León Spain	2	3 1.0×		3 1.5×			2	4
Maria Do Mar Menezes Portugal	2	2 0.7×		2 1.0×			7	7
Dougados Maxime	2	3 1.0×		1 0.5×	1 1.0×		2	4
Paolo Angelo Cortesi Italy	2	3 1.0×					3	4
Jean Français Baurain Belgium	1	4 1.3×					2	4
Aquino Williams United States	2	2 0.7×					5	6
H. Badran Finland	2	3 1.0×					3	5
Chu Jia You	2	2 0.7×			1 1.0×		2	2
Loreta Bukauskienė Lithuania	2	2 0.7×		1 0.5×	1 1.0×		2	4

Countries citing papers authored by Paola Everardo

Since Specialization

Citations

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

Fields of papers citing papers by Paola Everardo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Everardo

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

All Works

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2 of 2 papers shown

1.

Everardo, Paola, et al.. (2017). Genetic Differentiation in a Sample from Northern Mexico City Detected by HLA System Analysis: Impact in the Study of Population Immunogenetics. Human Biology. 89(3). 181–181. 3 indexed citations

2.

Everardo, Paola. (2007). Empresas familiares de inmigrantes. Papers Revista de Sociologia. 85. 229–229. 2 indexed citations

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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