G. Grasso

1.3k citations
66 papers · 1.1k · h-index 20

Impact in

Papers in

    • Physics of Superconductivity and Magnetism 20
    • Superconductivity in MgB2 and Alloys 14
    • Theoretical and Computational Physics 4
    • Salmonella and Campylobacter epidemiology 5
    • Food Safety and Hygiene 4

G. Grasso

61 papers receiving 964 citations

Peers

G. Grasso
Comparison fields: 5 of 115
  • Endocrinology 135
  • Condensed Matter Physics 198
  • Biotechnology 101
  • Food Science 215
  • Periodontics 31
Replace Christopher E. Thomas with:
Christopher E. Thomas United States
In Soo Lee South Korea
Rachna Singh India
Julien Deschamps France
María D. Ferrer Spain
Aline Wenger Switzerland
Kazuo Satoh Japan
Mohamed Ali Ayadi Tunisia
Yoon Soo Park South Korea
P. A. Blake United States
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Citations per field
00.5×2×3×4.4×
Christopher E. Thomas · 1×
Citations per year

Countries citing papers authored by G. Grasso

Since Specialization
Citations

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

Fields of papers citing papers by G. Grasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199995
2 200476
3 199757
4 199646
5 199743
6 199442
7 201341
8 199140
9 200535
10 201032
11 201032
12 201228
13 200928
14 200725
15 200525
16 198423
17 201023
18 201323
19
Vaccine storage in the community: a study in central Italy.
199922
20 199721

About G. Grasso

G. Grasso is a scholar working on Condensed Matter Physics, Food Science, Endocrinology, Infectious Diseases and Biotechnology, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (20 papers), Superconductivity in MgB2 and Alloys (14 papers), Salmonella and Campylobacter epidemiology (5 papers), Superconducting Materials and Applications (5 papers), HVDC Systems and Fault Protection (4 papers), Theoretical and Computational Physics (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Food Safety and Hygiene (4 papers). The work is most often cited by research in Endocrinology (135 citations), Condensed Matter Physics (198 citations), Biotechnology (101 citations), Food Science (215 citations) and Periodontics (31 citations). G. Grasso has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giancarlo Ripabelli, Michela Lucia Sammarco, Incoronata Fanelli, Manuela Tamburro, Marcello Mario D’Errico, Ida Luzzi, Italo Francesco Angelillo, Alfredo Caprioli, Paolo Villari and Giuseppina Marilia Tantillo. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Journal of Food Protection, Journal of Chromatography A and Nuclear Fusion.

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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