Matteo de Rosa

1.2k citations
51 papers · 880 indexed · h-index 17
Topics
Enzyme Structure and Function (10 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers)Protein Structure and Dynamics (8 papers)
Partner nations
ItalySpainPortugal

In The Last Decade

Matteo de Rosa

48 papers receiving 865 citations

Peers

Matteo de Rosa
Comparison fields: 5 of 97
  • Molecular Biology 550
  • Physiology 147
  • Cardiology and Cardiovascular Medicine 110
  • Plant Science 82
  • Materials Chemistry 76
Replace Noriyasu Ohshima with:
Noriyasu Ohshima Japan
Claudia M. Cremers United States
Gregory St John United States
Toru Hashimoto Japan
Chitta R. Dey United States
M Roch-Arveiller France
Patricia C. Andrews United States
Yanfei Wang China
Matteo de Rosa relative to Noriyasu Ohshima Japan Noriyasu Ohshima's profile →
Citations per field
00.5×3.0×
Noriyasu Ohshima · 1×
Citations per year

Countries citing papers authored by Matteo de Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Matteo de Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo de Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo de Rosa. A scholar is included among the top collaborators of Matteo de Rosa 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 Matteo de Rosa. Matteo de Rosa 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
#WorkIndexed citations
1 0
2 0
3 2
4 8
5 7
6 5
7 38
8 6
9 50
10 13
11 26
12 24
13 4
14 18
15 15
16 9
17 22
18 4
19 7
20
A constitutive beta -galactosidase from the extreme thermoacidophile archaebacterium Caldariella acidophila: properties of the enzyme in the free state and in immobilized whole cells.
19

About Matteo de Rosa

Matteo de Rosa is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 51 papers that have together received 880 indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Molecular Biology (550 citations), Physiology (147 citations) and Cardiology and Cardiovascular Medicine (110 citations). Matteo de Rosa has collaborated with scholars based in Italy, Spain and Portugal. Frequent co-authors include Alessandro Aliverti, Giuliana Zanetti, Andrea Pennati, V. Pandini, Stéfano Ricagno, Martino Bolognesi, Alberto Barbiroli, A. Athanasiadis, Vittorio Bellotti and Mario Milani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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