David Tonoli

1.2k citations
24 papers · 1.0k · h-index 15

Impact in

Papers in

David Tonoli

24 papers receiving 1.0k citations

Peers

David Tonoli
Comparison fields: 5 of 120
  • Spectroscopy 335
  • Health, Toxicology and Mutagenesis 131
  • Endocrinology, Diabetes and Metabolism 130
  • Analytical Chemistry 76
  • Toxicology 25
Replace Douglas M. Fast with:
Douglas M. Fast United States
Federica Crivellente Italy
Shigeo Ikegawa Japan
Sherry Wang United States
Zijuan Lai United States
Wiktoria Struck‐Lewicka Poland
Oskar González Spain
Nageswara Rao Pilli India
Omnia A. Ismaiel Egypt
Philip B. Grace United Kingdom
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Citations per field
00.5×6.2×
Douglas M. Fast · 1×
Citations per year

Countries citing papers authored by David Tonoli

Since Specialization
Citations

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

Fields of papers citing papers by David Tonoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Tonoli, 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 David Tonoli Line = papers co-authored together David Tonoli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014219
2 2016156
3 2011136
4 201583
5 201657
6 201753
7 201351
8 201247
9 201927
10 201527
11 201726
12 201524
13 202124
14 201819
15 201816
16 202214
17 200813
18 201211
19 200810
20 20196

About David Tonoli

David Tonoli is a scholar working on Spectroscopy, Molecular Biology, Pharmacology, Pharmacology and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Analytical Chemistry and Chromatography (10 papers), Pharmacogenetics and Drug Metabolism (5 papers), Hormonal and reproductive studies (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Pesticide Residue Analysis and Safety (3 papers), Marine Biology and Environmental Chemistry (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Spectroscopy (335 citations), Health, Toxicology and Mutagenesis (131 citations), Endocrinology, Diabetes and Metabolism (130 citations), Analytical Chemistry (76 citations) and Toxicology (25 citations). David Tonoli has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Emmanuel Varesio, Gérard Hopfgartner, Julien Boccard, Serge Rudaz, Michel Wagner, Fabienne Jeanneret, Pierre Lescuyer, Yoric Gagnebin, Pierre‐Yves Martin and Sophie de Seigneux. Their work appears in journals such as Journal of Chromatography A, Talanta, Analytica Chimica Acta, Journal of Chromatography B and Toxicology Letters.

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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