Leonardo Sandrini-Neto

31 total papers · 681 total citations
27 papers, 526 citations indexed

About

Leonardo Sandrini-Neto is a scholar working on Health, Toxicology and Mutagenesis, Oceanography and Ecology. According to data from OpenAlex, Leonardo Sandrini-Neto has authored 27 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 12 papers in Oceanography and 9 papers in Ecology. Recurrent topics in Leonardo Sandrini-Neto's work include Environmental Toxicology and Ecotoxicology (16 papers), Marine Biology and Ecology Research (9 papers) and Toxic Organic Pollutants Impact (7 papers). Leonardo Sandrini-Neto is often cited by papers focused on Environmental Toxicology and Ecotoxicology (16 papers), Marine Biology and Ecology Research (9 papers) and Toxic Organic Pollutants Impact (7 papers). Leonardo Sandrini-Neto collaborates with scholars based in Brazil, Norway and Belgium. Leonardo Sandrini-Neto's co-authors include Maritana Mela Prodócimo, Paulo da Cunha Lana, Maikon Di Domênico, Ciro Alberto de Oliveira Ribeiro, Francisco Filipak Neto, César C. Martins, Helena Cristina Silva de Assis, Mauricio Camargo Guerrero, Lionel Camus and Renato S. Carreira and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Leonardo Sandrini-Neto

27 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Sandrini-Neto 311 182 111 110 65 27 526
Fernando González‐Farías 200 0.6× 188 1.0× 193 1.7× 65 0.6× 76 1.2× 31 619
J.H. Gentile 284 0.9× 162 0.9× 135 1.2× 104 0.9× 116 1.8× 21 555
Anthony S. Pait 275 0.9× 224 1.2× 136 1.2× 57 0.5× 59 0.9× 38 526
Robert Scott Carr 274 0.9× 112 0.6× 131 1.2× 55 0.5× 59 0.9× 22 508
Geraldine M. Cripe 370 1.2× 187 1.0× 124 1.1× 39 0.4× 72 1.1× 27 610
Deanna E. Conners 359 1.2× 178 1.0× 87 0.8× 39 0.4× 85 1.3× 14 546
Guillaume Juhel 296 1.0× 237 1.3× 154 1.4× 58 0.5× 45 0.7× 15 566
Gina Coelho 446 1.4× 349 1.9× 72 0.6× 86 0.8× 61 0.9× 20 609
Sang-Eun Nam 244 0.8× 181 1.0× 95 0.9× 74 0.7× 59 0.9× 47 537
G. W. Ozburn 331 1.1× 163 0.9× 89 0.8× 38 0.3× 42 0.6× 19 503

Countries citing papers authored by Leonardo Sandrini-Neto

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Sandrini-Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Sandrini-Neto. 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 Leonardo Sandrini-Neto. The network helps show where Leonardo Sandrini-Neto may publish in the future.

Co-authorship network of co-authors of Leonardo Sandrini-Neto

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Sandrini-Neto. A scholar is included among the top collaborators of Leonardo Sandrini-Neto 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 Leonardo Sandrini-Neto. Leonardo Sandrini-Neto 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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