A. Grasso

1.3k citations
56 papers · 1.2k · h-index 22

Impact in

Papers in

    • Ion channel regulation and function 22
    • 14-3-3 protein interactions 10
    • S100 Proteins and Annexins 9
    • Nicotinic Acetylcholine Receptors Study 7
    • Venomous Animal Envenomation and Studies 18

A. Grasso

53 papers receiving 1.1k citations

Peers

A. Grasso
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 287
  • Genetics 434
  • Cell Biology 199
  • Molecular Biology 718
  • Environmental Chemistry 97
Replace Vera G. Lelianova with:
Vera G. Lelianova United Kingdom
Mary A. Bittner United States
Sherry Bursztajn United States
A. Roger Little United States
Georges C. Frech United States
Akihiro Fujikawa Japan
K. Naito Japan
Takeshi Shimahara France
Jon Lindstrom United States
Marie S. Roberts United States
A. Grasso relative to Vera G. Lelianova United Kingdom Vera G. Lelianova's profile →
Citations per field
00.5×1.5×2.2×
Vera G. Lelianova · 1×
Citations per year

Countries citing papers authored by A. Grasso

Since Specialization
Citations

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

Fields of papers citing papers by A. Grasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980104
2 198997
3 197680
4 198459
5 196457
6 198751
7 198646
8 197943
9 197740
10 198729
11 199528
12 198027
13 198427
14 196727
15 198226
16 198624
17 197723
18 200723
19 197823
20 198721

About A. Grasso

A. Grasso is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cell Biology and Pharmacology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (22 papers), Venomous Animal Envenomation and Studies (18 papers), 14-3-3 protein interactions (10 papers), S100 Proteins and Annexins (9 papers), Cellular transport and secretion (7 papers), Neurobiology and Insect Physiology Research (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (287 citations), Genetics (434 citations), Cell Biology (199 citations), Molecular Biology (718 citations) and Environmental Chemistry (97 citations). A. Grasso has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Stefano Alemà, Stefano Rufini, N. Frontali, Annibale Volpe, Michele Senni, Felice Petraglia, Fabio Facchinetti, Brett M. Paterson, Andrea Levi and Roberta Possenti. Their work appears in journals such as Toxicon, Brain Research, Maturitas, European Journal of Biochemistry and FEBS 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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