F. Consolaro

431 citations
8 papers · 372 · h-index 7

Impact in

    • Environmental Toxicology and Ecotoxicology
    • Toxic Organic Pollutants Impact
    • Effects and risks of endocrine disrupting chemicals
  • Pollution top 10%
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Pesticide and Herbicide Environmental Studies

Papers in

F. Consolaro

8 papers receiving 353 citations

Peers

F. Consolaro
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 213
  • Pollution 148
  • Computational Theory and Mathematics 94
  • Environmental Chemistry 53
  • Analytical Chemistry 22
Replace Wei C. Qin with:
Wei C. Qin China
Julie R. Seward United States
Martin Müller Germany
Leon van der Wal Netherlands
Roger L. Breton United States
Wolfgang Bödeker Germany
Judith Neuwoehner Switzerland
Julie A. Beauman United States
Paul Thomas United Kingdom
Helge Walter Germany
F. Consolaro relative to Wei C. Qin China Wei C. Qin's profile →
Citations per field
00.5×1.5×
Wei C. Qin · 1×
Citations per year

Countries citing papers authored by F. Consolaro

Since Specialization
Citations

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

Fields of papers citing papers by F. Consolaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside F. Consolaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Consolaro Line = papers co-authored together F. Consolaro links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2002124
2 200384
3 200143
4 200140
5 200131
6 200130
7 201319
8
Study of the POP atmospheric mobility by QSAR approach
19991

About F. Consolaro

F. Consolaro is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Organic Chemistry, Molecular Biology and General Health Professions, having authored 8 papers that have together received 372 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Empathy and Medical Education (1 paper), Health, psychology, and well-being (1 paper), Chemistry and Chemical Engineering (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Spectroscopy and Chemometric Analyses (1 paper) and History and advancements in chemistry (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (213 citations), Pollution (148 citations), Computational Theory and Mathematics (94 citations), Environmental Chemistry (53 citations) and Analytical Chemistry (22 citations). F. Consolaro has collaborated with scholars based in Italy, Germany and Argentina. Frequent co-authors include Paola Gramatica, Rolf Altenburger, Martin Scholze, Helge Walter, Roberto Todeschini, Marco Vighi, Antonio Finizio, Michael Faust, S. Galassi and Sabrina Cipolletta. Their work appears in journals such as Chemosphere, Ecotoxicology and Environmental Safety, Ecotoxicology, Journal of Humanistic Psychology and IrInSubria (University of Insubria).

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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