Rosario Donato

11.2k citations
93 papers · 9.4k indexed · 6 hit papers · h-index 42

Rosario Donato

93 papers receiving 9.2k citations

Hit Papers

Functions of S100 Proteins1.0k19992026200820174008001.2k

Peers

Rosario Donato
Comparison fields: 5 of 132
  • Clinical Biochemistry 1.0k
  • Neurology 1.0k
  • Molecular Biology 7.2k
  • Neurology 1.5k
  • Immunology 2.0k
Replace Masahide Asano with:
Masahide Asano Japan
Masahiro Nishibori Japan
Guglielmo Sorci Italy
Matti Haltia Finland
Stephan Frank Switzerland
Katerina Akassoglou United States
Yo Sasaki Japan
M. L. Cuzner United Kingdom
Luca Battistini Italy
Shuji Mori Japan
Rosario Donato relative to Masahide Asano Japan Masahide Asano's profile →
Citations per field
00.5×5.6×
Masahide Asano · 1×
Citations per year

Countries citing papers authored by Rosario Donato

Since Specialization
Citations

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

Fields of papers citing papers by Rosario Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201053
2 201023
3
S100B's double life: Intracellular regulator and extracellular signalbreakdown →
2008581
4 2008225
5 200634
6 200561
7 200490
8 200428
9 200029
10 199923
11
Functional roles of S100 proteins, calcium-binding proteins of the EF-hand typebreakdown →
1999563
12 199639
13 199618
14 199521
15 199117
16 199034
17 199015
18 198934
19 198957
20 198823

About Rosario Donato

Rosario Donato is a scholar working on Clinical Biochemistry, Cancer Research and Molecular Biology, having authored 93 papers that have together received 9.4k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (72 papers), Protease and Inhibitor Mechanisms (20 papers), Connexins and lens biology (14 papers), Advanced Glycation End Products research (10 papers), Computational Drug Discovery Methods (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Lipid Membrane Structure and Behavior (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Clinical Biochemistry (1.0k citations), Neurology (1.0k citations) and Molecular Biology (7.2k citations). Rosario Donato has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Ileana Giambanco, Guglielmo Sorci, Roberta Bianchi, Francesca Riuzzi, Cataldo Arcuri, Anna Lisa Agneletti, David J. Weber, Brian R. Cannon, Carolyn L. Geczy and Kuang‐Hung Hsu. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

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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