Gianmarco Gasperini

800 total citations
30 papers, 549 citations indexed

About

Gianmarco Gasperini is a scholar working on Infectious Diseases, Endocrinology and Epidemiology. According to data from OpenAlex, Gianmarco Gasperini has authored 30 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 18 papers in Endocrinology and 11 papers in Epidemiology. Recurrent topics in Gianmarco Gasperini's work include Escherichia coli research studies (17 papers), Viral gastroenteritis research and epidemiology (13 papers) and Pneumonia and Respiratory Infections (9 papers). Gianmarco Gasperini is often cited by papers focused on Escherichia coli research studies (17 papers), Viral gastroenteritis research and epidemiology (13 papers) and Pneumonia and Respiratory Infections (9 papers). Gianmarco Gasperini collaborates with scholars based in Italy, United Kingdom and South Africa. Gianmarco Gasperini's co-authors include Francesca Micoli, Francesca Necchi, Renzo Alfini, Francesca Mancini, Maria Grazia Aruta, Francesco Berlanda Scorza, Martina Carducci, Rosanna Leuzzi, Omar Rossi and Roberta Di Benedetto and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gianmarco Gasperini

29 papers receiving 543 citations

Peers

Gianmarco Gasperini
Comparison fields: 5 of 59
  • Microbiology 218
  • Infectious Diseases 188
  • Epidemiology 181
  • Endocrinology 174
  • Molecular Biology 144
Replace Valentina Donà with:
Valentina Donà Switzerland
Mariaelena Caboni Italy
Jane Newcombe United Kingdom
Fanliang Meng China
M. Ammar Zafar United States
Maneesh Paul‐Satyaseela United States
Emily K. Crispell United States
Victoria Cano Spain
Nicole Lemmens‐den Toom Netherlands
Thiago Rojas Converso Brazil
Valentina Donà Switzerland View profile →
Citations per field, relative to Gianmarco Gasperini
Gianmarco Gasperini · 1×
Citations per year, relative to Gianmarco Gasperini
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Countries citing papers authored by Gianmarco Gasperini

Since Specialization
Citations

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

Fields of papers citing papers by Gianmarco Gasperini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianmarco Gasperini

This figure shows the co-authorship network connecting the top 25 collaborators of Gianmarco Gasperini. A scholar is included among the top collaborators of Gianmarco Gasperini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianmarco Gasperini. Gianmarco Gasperini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 7
4 7
5 2
6 1
7 7
8 18
9 7
10 14
11 5
12 6
13 13
14 19
15 61
16 9
17 66
18 42
19 26
20 46

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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