Massimo Di Rosa

5.4k total citations · 2 hit papers
57 papers, 4.4k citations indexed

About

Massimo Di Rosa is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Massimo Di Rosa has authored 57 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 19 papers in Molecular Biology and 16 papers in Pharmacology. Recurrent topics in Massimo Di Rosa's work include Nitric Oxide and Endothelin Effects (16 papers), Marine Sponges and Natural Products (11 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Massimo Di Rosa is often cited by papers focused on Nitric Oxide and Endothelin Effects (16 papers), Marine Sponges and Natural Products (11 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Massimo Di Rosa collaborates with scholars based in Italy, United Kingdom and Netherlands. Massimo Di Rosa's co-authors include Armando Ialenti, Angela Ianaro, Salvador Moncada, Rosa Carnuccio, Roderick J. Flower, Geoffrey J. Blackwell, Luca Parente, Paola Persico, Teresa Iuvone and Lidia Sautebin and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Massimo Di Rosa

57 papers receiving 4.1k citations

Hit Papers

Macrocortin: a polypeptide causing the anti-phospholipase... 1972 2026 1990 2008 1980 1972 200 400 600

Peers

Massimo Di Rosa
Comparison fields: 5 of 128
  • Molecular Biology 1.4k
  • Physiology 1.1k
  • Pharmacology 1.1k
  • Immunology 556
  • Cellular and Molecular Neuroscience 503
Replace Rosa Carnuccio with:
Rosa Carnuccio Italy
Lidia Sautebin Italy
Pamela T. Manning United States
Regina M. Botting United Kingdom
S. H. Ferreira Brazil
Luca Parente Italy
Armando Ialenti Italy
Terry S. Elton United States
Yasushi Tanaka Japan
Gary P. O’Neill Canada
Rosa Carnuccio Italy View profile →
Citations per field, relative to Massimo Di Rosa
Massimo Di Rosa · 1×
Citations per year, relative to Massimo Di Rosa
Massimo Di Rosa · 1×

Countries citing papers authored by Massimo Di Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Di Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Di Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Di Rosa. A scholar is included among the top collaborators of Massimo Di 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 Massimo Di Rosa. Massimo Di 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
# Work Indexed citations
1 57
2 11
3 36
4 8
5 51
6 37
7 31
8 46
9 146
10 2
11 45
12 52
13 39
14 117
15 39
16 24
17 251
18 10
19 3
20 10

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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