Julián Tejada

104 total papers · 635 total citations
41 papers, 262 citations indexed

About

Julián Tejada is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Julián Tejada has authored 41 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Julián Tejada's work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Children's Physical and Motor Development (6 papers). Julián Tejada is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Children's Physical and Motor Development (6 papers). Julián Tejada collaborates with scholars based in Brazil, United States and Colombia. Julián Tejada's co-authors include Antônio C. Roque, Norberto Garcia‐Cairasco, Sílvio Morato, Khallil Taverna Chaim, Kauê Machado Costa, Jorge Bacca, Kinshuk Kinshuk, Ramón Fabregat, Fernando Marmolejo‐Ramos and Juan C. Correa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Julián Tejada

36 papers receiving 253 citations

Author Peers

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

Author Last Decade Papers Cites
Julián Tejada 102 80 43 36 31 41 262
Megan Ichinose 74 0.7× 164 2.0× 84 2.0× 42 1.2× 29 0.9× 24 321
Goldberg Me 82 0.8× 173 2.2× 11 0.3× 28 0.8× 50 1.6× 19 313
Shozo Aoki 91 0.9× 33 0.4× 77 1.8× 28 0.8× 57 1.8× 23 303
Maria Helena Leite Hunziker 87 0.9× 90 1.1× 25 0.6× 47 1.3× 18 0.6× 52 292
Aleksandrov Aa 59 0.6× 111 1.4× 20 0.5× 53 1.5× 79 2.5× 88 329
Yan Li 70 0.7× 155 1.9× 21 0.5× 13 0.4× 46 1.5× 18 281
Madalena Esteves 47 0.5× 133 1.7× 37 0.9× 27 0.8× 12 0.4× 19 270
Koki Mimura 92 0.9× 165 2.1× 12 0.3× 58 1.6× 35 1.1× 29 284
Francesco Robustelli 114 1.1× 121 1.5× 22 0.5× 75 2.1× 34 1.1× 24 294
Cecilia González Campo 64 0.6× 168 2.1× 94 2.2× 34 0.9× 31 1.0× 16 326

Countries citing papers authored by Julián Tejada

Since Specialization
Citations

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

Fields of papers citing papers by Julián Tejada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julián Tejada

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