Tomé S. Silva

87 total papers · 1.3k total citations
47 papers, 1.0k citations indexed

About

Tomé S. Silva is a scholar working on Aquatic Science, Immunology and Ecology. According to data from OpenAlex, Tomé S. Silva has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Aquatic Science, 20 papers in Immunology and 13 papers in Ecology. Recurrent topics in Tomé S. Silva's work include Aquaculture Nutrition and Growth (32 papers), Aquaculture disease management and microbiota (20 papers) and Physiological and biochemical adaptations (10 papers). Tomé S. Silva is often cited by papers focused on Aquaculture Nutrition and Growth (32 papers), Aquaculture disease management and microbiota (20 papers) and Physiological and biochemical adaptations (10 papers). Tomé S. Silva collaborates with scholars based in Portugal, Spain and Norway. Tomé S. Silva's co-authors include Pedro M. Rodrigues, Jorge Dias, Luís E. C. Conceição, Nadège Richard, Flemming Jessen, Elisabete Matos, Marco Cerqueira, María Teresa Dinis, Tune Wulff and Manuel Yúfera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Tomé S. Silva

43 papers receiving 990 citations

Author Peers

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

Author Last Decade Papers Cites
Tomé S. Silva 631 494 251 214 165 47 1.0k
Md. Shah Alam 1.1k 1.8× 739 1.5× 192 0.8× 163 0.8× 107 0.6× 43 1.2k
Luca Parma 862 1.4× 620 1.3× 137 0.5× 176 0.8× 106 0.6× 52 1.1k
Ralph Bickerdike 776 1.2× 724 1.5× 185 0.7× 234 1.1× 209 1.3× 27 1.2k
Krisna Rungruangsak-Torrissen 819 1.3× 447 0.9× 137 0.5× 161 0.8× 124 0.8× 29 1.0k
Carol M. Morrison 312 0.5× 308 0.6× 244 1.0× 122 0.6× 96 0.6× 38 886
Ioannis Τ. Karapanagiotidis 557 0.9× 232 0.5× 130 0.5× 149 0.7× 94 0.6× 53 1.2k
David Huyben 559 0.9× 513 1.0× 155 0.6× 215 1.0× 75 0.5× 36 966
Tiago S. Hori 490 0.8× 735 1.5× 337 1.3× 180 0.8× 63 0.4× 43 1.2k
Stefanie M. Colombo 579 0.9× 251 0.5× 159 0.6× 178 0.8× 73 0.4× 54 1.1k
Thomas L. Welker 864 1.4× 868 1.8× 183 0.7× 99 0.5× 76 0.5× 41 1.2k

Countries citing papers authored by Tomé S. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Tomé S. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomé S. Silva. 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 Tomé S. Silva. The network helps show where Tomé S. Silva may publish in the future.

Co-authorship network of co-authors of Tomé S. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Tomé S. Silva. A scholar is included among the top collaborators of Tomé S. Silva 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 Tomé S. Silva. Tomé S. Silva 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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