Gabriela Tejón

13 total papers · 467 total citations
10 papers, 381 citations indexed

About

Gabriela Tejón is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Gabriela Tejón has authored 10 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Gabriela Tejón's work include Immune Cell Function and Interaction (8 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Adenosine and Purinergic Signaling (2 papers). Gabriela Tejón is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Adenosine and Purinergic Signaling (2 papers). Gabriela Tejón collaborates with scholars based in Chile, United States and Argentina. Gabriela Tejón's co-authors include Marı́a Rosa Bono, Mario Rosemblatt, Daniela Sauma, Felipe Flores‐Santibáñez, Dominique Fernández, V. Manrı́quez, Yessia Hidalgo, Rodrigo Pacheco, Francisco Osorio‐Barrios and Carolina Prado and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Immunology.

In The Last Decade

Gabriela Tejón

10 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriela Tejón 169 142 47 43 39 10 381
Linglin Huang 144 0.9× 122 0.9× 67 1.4× 20 0.5× 22 0.6× 11 341
Felipe Flores‐Santibáñez 227 1.3× 100 0.7× 84 1.8× 130 3.0× 26 0.7× 12 437
Brian Mullins 58 0.3× 201 1.4× 83 1.8× 16 0.4× 31 0.8× 12 429
F Sajjadi 99 0.6× 185 1.3× 27 0.6× 28 0.7× 118 3.0× 7 370
O'Flaherty Jt 130 0.8× 83 0.6× 28 0.6× 22 0.5× 38 1.0× 13 335
Tulasi Yadati 50 0.3× 191 1.3× 35 0.7× 21 0.5× 50 1.3× 8 437
Bassam Badran 86 0.5× 163 1.1× 109 2.3× 8 0.2× 22 0.6× 17 412
Rossella Parrotta 142 0.8× 148 1.0× 70 1.5× 63 1.5× 20 0.5× 8 411
Laura Zanobbio 139 0.8× 133 0.9× 20 0.4× 7 0.2× 32 0.8× 12 445
D Liu 64 0.4× 197 1.4× 15 0.3× 67 1.6× 141 3.6× 11 413

Countries citing papers authored by Gabriela Tejón

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Tejón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Tejón

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