G. Toschi

1.1k citations
43 papers · 641 · h-index 14

Impact in

Papers in

G. Toschi

41 papers receiving 579 citations

Peers

G. Toschi
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 203
  • Pharmacology 105
  • Developmental Neuroscience 24
  • Molecular Biology 353
  • Biochemistry 28
Replace L.C. Blaber with:
L.C. Blaber United States
G. Ungar United States
Charles R. Walker United States
Monique Lazar France
Alfred Pope United States
Yuzo NAKAGAWA Japan
Michael L. Koenig United States
T. Schmidt‐Glenewinkel United States
J.P. Vincent France
Jean-Luc Dreyer Switzerland
G. Toschi relative to L.C. Blaber United States L.C. Blaber's profile →
Citations per field
00.5×1.5×1.9×
L.C. Blaber · 1×
Citations per year

Countries citing papers authored by G. Toschi

Since Specialization
Citations

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

Fields of papers citing papers by G. Toschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195996
2 196573
3 195971
4 195938
5 196534
6 199925
7 196022
8 197420
9 197917
10 196616
11 199415
12 195914
13 197214
14 196413
15 195813
16 197513
17 197811
18 196411
19 197110
20 196510

About G. Toschi

G. Toschi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Spectroscopy, having authored 43 papers that have together received 641 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (6 papers), Neuroscience and Neuropharmacology Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Biochemical effects in animals (3 papers), Computational Drug Discovery Methods (3 papers), thermodynamics and calorimetric analyses (3 papers), Nerve injury and regeneration (2 papers) and Food Quality and Safety Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (203 citations), Pharmacology (105 citations), Developmental Neuroscience (24 citations), Molecular Biology (353 citations) and Biochemistry (28 citations). G. Toschi has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include V. Hanzon, Paola Paggi, P. U. Angeletti, Rita Levi‐Montalcini, G. Tecce, G. Scarsella, M. T. Mangiantini, Maria Egle De Stefano, Rosanna Squitti and Mario Giacobini. Their work appears in journals such as Neuroscience, Brain Research, Experimental Cell Research, Life Sciences and Virology.

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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