L. Tedeschi

1.1k citations
25 papers · 899 · h-index 13

Impact in

Papers in

L. Tedeschi

25 papers receiving 843 citations

Peers

L. Tedeschi
Comparison fields: 5 of 98
  • Toxicology 593
  • Cellular and Molecular Neuroscience 243
  • Spectroscopy 147
  • Pathology and Forensic Medicine 147
  • Analytical Chemistry 69
Replace Jonathan M. Oyler with:
Jonathan M. Oyler United States
Gerold F. Kauert Germany
David M. Andrenyak United States
K. L. Klette United States
E. J. M. Pennings Netherlands
Thomas Z. Bosy United States
Chrystalla Kyriakou Italy
Albert A. Elian United States
Shawn P. Vorce United States
Nadia De Giovanni Italy
L. Tedeschi relative to Jonathan M. Oyler United States Jonathan M. Oyler's profile →
Citations per field
00.5×1.5×
Jonathan M. Oyler · 1×
Citations per year

Countries citing papers authored by L. Tedeschi

Since Specialization
Citations

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

Fields of papers citing papers by L. Tedeschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside L. Tedeschi, 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 L. Tedeschi Line = papers co-authored together L. Tedeschi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993182
2 1992132
3 199585
4 199375
5 199474
6 200362
7 199647
8 200044
9 200538
10 199237
11 200129
12 199322
13 200318
14 199812
15
[Alcohol, drugs, pharmacologic agents, and street safety].
20009
16 19787
17 19945
18 19785
19 19994
20 19774

About L. Tedeschi

L. Tedeschi is a scholar working on Toxicology, Molecular Biology, Pathology and Forensic Medicine, Physiology and Spectroscopy, having authored 25 papers that have together received 899 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (17 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers), Alcohol Consumption and Health Effects (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Psychedelics and Drug Studies (2 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Toxicology (593 citations), Cellular and Molecular Neuroscience (243 citations), Spectroscopy (147 citations), Pathology and Forensic Medicine (147 citations) and Analytical Chemistry (69 citations). L. Tedeschi has collaborated with scholars based in Italy. Frequent co-authors include Santo Davide Ferrara, Gilles Frison, F. Castagna, Pietro Palatini, Giampietro Frison, G. L. Gessa, Luigi Gallimberti, Roberto Padrini, R. Orlando and Donata Favretto. Their work appears in journals such as Rapid Communications in Mass Spectrometry, International Journal of Legal Medicine, European Journal of Clinical Pharmacology, Journal of Analytical Toxicology and Clinical Chemistry and Laboratory Medicine (CCLM).

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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