Leonardo Sandrini-Neto
- Health, Toxicology and Mutagenesis top 5%
- Pollution top 5%
- Ecology
- Oceanography top 10%
- Global and Planetary Change
- Co-authors
- Maritana Mela ProdócimoPaulo da Cunha LanaMaikon Di DomênicoCiro Alberto de Oliveira RibeiroFrancisco Filipak NetoCésar C. MartinsHelena Cristina Silva de AssisLionel Camus
- Topics
- Environmental Toxicology and Ecotoxicology (16 papers)Marine Biology and Ecology Research (9 papers)Toxic Organic Pollutants Impact (7 papers)
In The Last Decade
Leonardo Sandrini-Neto
27 papers receiving 525 citations
Peers
Comparison fields: 5 of 69
- Health, Toxicology and Mutagenesis 314
- Pollution 182
- Ecology 111
- Oceanography 110
- Global and Planetary Change 66
Countries citing papers authored by Leonardo Sandrini-Neto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 57 | |
| 3 | 39 | |
| 4 | 16 | |
| 5 | 6 | |
| 6 | 127 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 31 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 13 | |
| 18 | 28 | |
| 19 | 17 | |
| 20 | 9 |
About Leonardo Sandrini-Neto
Leonardo Sandrini-Neto is a scholar working on Health, Toxicology and Mutagenesis, Oceanography and Pollution, having authored 27 papers that have together received 531 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (16 papers), Marine Biology and Ecology Research (9 papers) and Toxic Organic Pollutants Impact (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (314 citations), Pollution (182 citations) and Oceanography (110 citations). Leonardo Sandrini-Neto has collaborated with scholars based in Brazil, Norway and Belgium. Frequent 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, Lionel Camus, Renato S. Carreira and Mauricio Camargo Guerrero. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.
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.