Elena Molina‐Portillo

101 total papers · 1.7k total citations
34 papers, 238 citations indexed

About

Elena Molina‐Portillo is a scholar working on Statistics and Probability, Education and Oncology. According to data from OpenAlex, Elena Molina‐Portillo has authored 34 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 9 papers in Education and 6 papers in Oncology. Recurrent topics in Elena Molina‐Portillo's work include Statistics Education and Methodologies (12 papers), Educational Innovations and Technology (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Elena Molina‐Portillo is often cited by papers focused on Statistics Education and Methodologies (12 papers), Educational Innovations and Technology (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Elena Molina‐Portillo collaborates with scholars based in Spain, Chile and Denmark. Elena Molina‐Portillo's co-authors include María‐José Sánchez, Miguel Rodríguez‐Barranco, José Miguel Contreras, Marina Pollán, Aurelio Tobı́as, Daniel Redondo‐Sánchez, Esther Molina‐Montes, José Expósito, R. Del Moral and Mariana F. Fernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Science of The Total Environment.

In The Last Decade

Elena Molina‐Portillo

28 papers receiving 234 citations

Author Peers

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

Author Last Decade Papers Cites
Elena Molina‐Portillo 72 45 40 39 32 34 238
Zhengyi Deng 93 1.3× 55 1.2× 31 0.8× 35 0.9× 3 0.1× 31 284
Kamyar Mansori 117 1.6× 14 0.3× 48 1.2× 12 0.3× 6 0.2× 35 275
Lucia Coppola 10 0.1× 19 0.4× 11 0.3× 31 0.8× 14 0.4× 28 296
Charulata Jindal 93 1.3× 80 1.8× 22 0.6× 11 0.3× 2 0.1× 24 325
Arielle Sloan 57 0.8× 25 0.6× 27 0.7× 6 0.2× 4 0.1× 20 306
George Linden 101 1.4× 31 0.7× 28 0.7× 37 0.9× 5 0.2× 18 312
Mahendra Singh 33 0.5× 17 0.4× 14 0.3× 17 0.4× 22 0.7× 36 226
Ranjit Kaur 102 1.4× 29 0.6× 12 0.3× 27 0.7× 25 305
Francesca Fasanelli 37 0.5× 42 0.9× 28 0.7× 9 0.2× 12 0.4× 18 317
Shu‐Yi Hsu 34 0.5× 14 0.3× 57 1.4× 55 1.4× 35 312

Countries citing papers authored by Elena Molina‐Portillo

Since Specialization
Citations

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

Fields of papers citing papers by Elena Molina‐Portillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena Molina‐Portillo. 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 Elena Molina‐Portillo. The network helps show where Elena Molina‐Portillo may publish in the future.

Co-authorship network of co-authors of Elena Molina‐Portillo

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Molina‐Portillo. A scholar is included among the top collaborators of Elena Molina‐Portillo 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 Elena Molina‐Portillo. Elena Molina‐Portillo 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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