Elizabeth Tapia

79 total papers · 704 total citations
36 papers, 440 citations indexed

About

Elizabeth Tapia is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Elizabeth Tapia has authored 36 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Artificial Intelligence and 6 papers in Plant Science. Recurrent topics in Elizabeth Tapia's work include Genomics and Phylogenetic Studies (5 papers), Fuzzy Logic and Control Systems (4 papers) and Heat shock proteins research (4 papers). Elizabeth Tapia is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Fuzzy Logic and Control Systems (4 papers) and Heat shock proteins research (4 papers). Elizabeth Tapia collaborates with scholars based in Argentina, France and Spain. Elizabeth Tapia's co-authors include Leonardo Ornella, Óscar Seguel, Osvaldo Salazar, Manuel Casanova, Javier Murillo, Ravi P. Singh, Juan Burgueño, Serge Guillaume, Paulino Pérez‐Rodríguez and Sukhwinder Singh and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Elizabeth Tapia

32 papers receiving 426 citations

Author Peers

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

Author Last Decade Papers Cites
Elizabeth Tapia 186 117 86 49 39 36 440
Petraq Papajorgji 123 0.7× 13 0.1× 22 0.3× 89 1.8× 22 0.6× 40 493
Zhiqin Zhang 152 0.8× 20 0.2× 41 0.5× 22 0.4× 25 0.6× 48 438
Parampreet Kaur 177 1.0× 38 0.3× 100 1.2× 40 0.8× 18 0.5× 37 461
Feng Xiao 109 0.6× 17 0.1× 74 0.9× 28 0.6× 44 1.1× 67 489
Thelma Sáfadi 120 0.6× 36 0.3× 49 0.6× 16 0.3× 4 0.1× 79 442
Nadine Hilgert 193 1.0× 24 0.2× 81 0.9× 49 1.0× 13 0.3× 31 486
K. S. Sendhil Kumar 153 0.8× 58 0.5× 73 0.8× 19 0.4× 18 0.5× 24 425
Yanan Li 221 1.2× 27 0.2× 14 0.2× 70 1.4× 31 0.8× 31 443
Ivan Bezerra Allaman 89 0.5× 45 0.4× 24 0.3× 22 0.4× 10 0.3× 41 469
Yue Li 127 0.7× 7 0.1× 44 0.5× 62 1.3× 13 0.3× 37 488

Countries citing papers authored by Elizabeth Tapia

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Tapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Tapia

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