Daniel Salvito

27 total papers · 3.2k total citations
21 papers, 569 citations indexed

About

Daniel Salvito is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Daniel Salvito has authored 21 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pollution, 10 papers in Health, Toxicology and Mutagenesis and 9 papers in Environmental Chemistry. Recurrent topics in Daniel Salvito's work include Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Chemistry and Chemical Engineering (6 papers) and Toxic Organic Pollutants Impact (5 papers). Daniel Salvito is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Chemistry and Chemical Engineering (6 papers) and Toxic Organic Pollutants Impact (5 papers). Daniel Salvito collaborates with scholars based in United States, Denmark and Netherlands. Daniel Salvito's co-authors include Henriette Selck, Paul J. Van den Brink, Feng‐Jiao Peng, Chang‐Gui Pan, Thomas W. Federle, Min Zhang, Valery E. Forbes, Laurel J. Standley, Herbert E. Allen and Pei C. Chiu and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Daniel Salvito

21 papers receiving 556 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Salvito 352 284 93 75 67 21 569
Huike Dong 342 1.0× 306 1.1× 134 1.4× 55 0.7× 45 0.7× 17 584
David Rosain 272 0.8× 364 1.3× 58 0.6× 44 0.6× 45 0.7× 19 595
Sabine Schäfer 190 0.5× 335 1.2× 37 0.4× 58 0.8× 95 1.4× 31 604
Veronika Doubková 349 1.0× 326 1.1× 30 0.3× 28 0.4× 57 0.9× 26 625
Eugenia Villaverde-de-Sáa 215 0.6× 284 1.0× 70 0.8× 130 1.7× 13 0.2× 13 518
Richard Frank 308 0.9× 209 0.7× 45 0.5× 33 0.4× 43 0.6× 40 637
Kathleen Stanton 172 0.5× 216 0.8× 236 2.5× 41 0.5× 16 0.2× 19 498
Alice Tediosi 280 0.8× 300 1.1× 120 1.3× 58 0.8× 25 0.4× 18 583
Kalu I. Ekpeghere 313 0.9× 251 0.9× 38 0.4× 55 0.7× 36 0.5× 12 496
Fátima Jesus 189 0.5× 197 0.7× 59 0.6× 34 0.5× 33 0.5× 27 535

Countries citing papers authored by Daniel Salvito

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Salvito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Salvito

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