Silvia Tenorio‐Salgado

13 total papers · 522 total citations
10 papers, 374 citations indexed

About

Silvia Tenorio‐Salgado is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Silvia Tenorio‐Salgado has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Silvia Tenorio‐Salgado's work include Bacterial Genetics and Biotechnology (4 papers), Genomics and Phylogenetic Studies (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Silvia Tenorio‐Salgado is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Genomics and Phylogenetic Studies (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Silvia Tenorio‐Salgado collaborates with scholars based in Mexico, Spain and Chile. Silvia Tenorio‐Salgado's co-authors include Jesús Caballero-Mellado, Ernesto Pérez‐Rueda, Rafael Vázquez-Duhalt, Raunel Tinoco, V. L. D. Baldani, Soazig Le Guyon, Marion Stoffels, Anton Hartmann, Michael Schmid and J. Balandreau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Silvia Tenorio‐Salgado

10 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Tenorio‐Salgado 271 120 40 35 33 10 374
Priyum Koonjul 212 0.8× 170 1.4× 20 0.5× 31 0.9× 15 0.5× 7 334
Chunlan Yang 332 1.2× 90 0.8× 53 1.3× 25 0.7× 20 0.6× 14 433
K F Mackenzie 181 0.7× 245 2.0× 25 0.6× 52 1.5× 70 2.1× 10 399
Mengying Wang 283 1.0× 147 1.2× 40 1.0× 22 0.6× 12 0.4× 16 413
Shafiq ur Rehman 311 1.1× 75 0.6× 18 0.5× 19 0.5× 17 0.5× 10 377
Chang-Woo Seo 376 1.4× 110 0.9× 26 0.7× 15 0.4× 17 0.5× 7 436
Sebastian Worch 301 1.1× 161 1.3× 10 0.3× 24 0.7× 30 0.9× 9 408
G. Selvaraj 235 0.9× 194 1.6× 16 0.4× 17 0.5× 29 0.9× 9 346
Charlene C. Jochum 331 1.2× 137 1.1× 54 1.4× 20 0.6× 13 0.4× 11 442
Alain Coleno 318 1.2× 103 0.9× 27 0.7× 11 0.3× 53 1.6× 8 400

Countries citing papers authored by Silvia Tenorio‐Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Tenorio‐Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Tenorio‐Salgado. 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 Silvia Tenorio‐Salgado. The network helps show where Silvia Tenorio‐Salgado may publish in the future.

Co-authorship network of co-authors of Silvia Tenorio‐Salgado

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Tenorio‐Salgado. A scholar is included among the top collaborators of Silvia Tenorio‐Salgado 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 Silvia Tenorio‐Salgado. Silvia Tenorio‐Salgado 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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