Matteo Longo

587 citations
29 papers · 348 · h-index 9

Impact in

Papers in

Matteo Longo

27 papers receiving 337 citations

Peers

Matteo Longo
Comparison fields: 5 of 57
  • Hepatology 123
  • Algebra and Number Theory 61
  • Geometry and Topology 108
  • Mathematical Physics 102
  • Epidemiology 96
Replace Jiankui Li with:
Jiankui Li China
Catherine Bouvier United Kingdom
Enas Kamal Egypt
K. Matthes Germany
Syed Mahmood Haider Pakistan
Ryoichi Shimizu Japan
Jieyan Wang China
Tim Cross United Kingdom
Frans J.C. Cuperus Netherlands
Shinji Takashimizu Japan
Matteo Longo relative to Jiankui Li China Jiankui Li's profile →
Citations per field
00.5×20×40×61.5×
Jiankui Li · 1×
Citations per year

Countries citing papers authored by Matteo Longo

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Longo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002142
2 200734
3 200130
4 202316
5 201216
6 200615
7 201013
8 201910
9 20059
10 20097
11 20126
12 20166
13 20166
14 20125
15 20164
16 20074
17 20113
18 20133
19 20193
20 20193

About Matteo Longo

Matteo Longo is a scholar working on Geometry and Topology, Mathematical Physics, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Epidemiology, having authored 29 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Algebra and Geometry (21 papers), Algebraic Geometry and Number Theory (20 papers), Analytic Number Theory Research (7 papers), Algebraic structures and combinatorial models (4 papers), Geometry and complex manifolds (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Finite Group Theory Research (3 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Hepatology (123 citations), Algebra and Number Theory (61 citations), Geometry and Topology (108 citations), Mathematical Physics (102 citations) and Epidemiology (96 citations). Matteo Longo has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Mauro Podda, Andrea Crosignani, Massimo Zuin, Pietro Invernizzi, Pier Maria Battezzati, Víctor Rotger, Emma De Fabiani, Norman B. Javitt, Marina Del Puppo and M. Galli Kienle. Their work appears in journals such as Journal of Number Theory, Commentarii Mathematici Helvetici, Transactions of the American Mathematical Society, Clinica Chimica Acta and Digestive and Liver Disease.

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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