Benedetta Mattioli

957 total citations
27 papers, 765 citations indexed

About

Benedetta Mattioli is a scholar working on Surgery, Gastroenterology and Immunology. According to data from OpenAlex, Benedetta Mattioli has authored 27 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 12 papers in Gastroenterology and 10 papers in Immunology. Recurrent topics in Benedetta Mattioli's work include Eosinophilic Esophagitis (10 papers), IL-33, ST2, and ILC Pathways (9 papers) and Esophageal and GI Pathology (7 papers). Benedetta Mattioli is often cited by papers focused on Eosinophilic Esophagitis (10 papers), IL-33, ST2, and ILC Pathways (9 papers) and Esophageal and GI Pathology (7 papers). Benedetta Mattioli collaborates with scholars based in Italy, United States and Belgium. Benedetta Mattioli's co-authors include Theresa T. Pizarro, Luca Pastorelli, Rekha Garg, Maurizio Vecchi, Melania Scarpa, Claudio Fiocchi, Sharon B. Hoang, Luisa Spina, Fabio Cominelli and Derek W. Abbott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Benedetta Mattioli

26 papers receiving 750 citations

Peers

Benedetta Mattioli
Comparison fields: 5 of 79
  • Immunology 438
  • Surgery 379
  • Molecular Biology 159
  • Genetics 140
  • Epidemiology 81
Rekha Garg United States
Anupama Ravi United States
Jodie Ouahed United States
Mei‐Lun Wang United States
Masahiro Ohsuga Japan
Ryusaku Kusunoki Japan
Ann Elisabet Østvik Norway
Rune Horneland Norway
Iris Hitzler Switzerland
Jochen Kammermeier United Kingdom
Rekha Garg United States View profile →
Citations per field, relative to Benedetta Mattioli
Benedetta Mattioli · 1×
Citations per year, relative to Benedetta Mattioli
Benedetta Mattioli · 1×

Countries citing papers authored by Benedetta Mattioli

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Mattioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedetta Mattioli

This figure shows the co-authorship network connecting the top 25 collaborators of Benedetta Mattioli. A scholar is included among the top collaborators of Benedetta Mattioli 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 Benedetta Mattioli. Benedetta Mattioli 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 11
4 1
5 1
6 66
7 8
8 18
9 7
10 5
11 9
12 82
13 5
14 36
15 3
16 5
17 357
18 17
19 17
20 3

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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