Mario Passalacqua

4.3k citations
124 papers · 3.1k indexed · h-index 34
Topics
Protein Kinase Regulation and GTPase Signaling (19 papers)Erythrocyte Function and Pathophysiology (12 papers)Cellular transport and secretion (11 papers)
Journals
Nucleic Acids ResearchJournal of Biological ChemistrySHILAP Revista de lepidopterología
Partner nations
ItalyUnited StatesSweden

In The Last Decade

Mario Passalacqua

120 papers receiving 3.1k citations

Peers

Mario Passalacqua
Comparison fields: 5 of 125
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 511
  • Physiology 485
  • Cell Biology 463
  • Clinical Biochemistry 348
Replace Ghazaleh Ashrafi with:
Ghazaleh Ashrafi United States
Xiaoping Qi United States
Anna Raffaello Italy
Marta Giacomello Italy
Alastair Morrison United Kingdom
Allen Kaasik Estonia
Akos A. Gerencser United States
Cristòfol Vives-Bauzá United States
Marina Jendrach Germany
Riccardo Filadi Italy
Mario Passalacqua relative to Ghazaleh Ashrafi United States Ghazaleh Ashrafi's profile →
Citations per field
00.5×1.5×
Ghazaleh Ashrafi · 1×
Citations per year

Countries citing papers authored by Mario Passalacqua

Since Specialization
Citations

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

Fields of papers citing papers by Mario Passalacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Passalacqua

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Passalacqua. A scholar is included among the top collaborators of Mario Passalacqua 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 Mario Passalacqua. Mario Passalacqua 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 1
3 3
4 2
5 0
6 3
7 16
8 83
9 46
10 23
11 27
12 32
13 36
14 15
15 115
16 22
17 13
18 11
19 5
20 9

About Mario Passalacqua

Mario Passalacqua is a scholar working on Physiology, Cell Biology and Clinical Biochemistry, having authored 124 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Erythrocyte Function and Pathophysiology (12 papers) and Cellular transport and secretion (11 papers). The work is most often cited by research in Physiology (281 citations), Clinical Biochemistry (348 citations) and Neurology (284 citations). Mario Passalacqua has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include S. Pontremoli, Edon Melloni, Bianca Sparatore, Mauro Patrone, Marco Pedrazzi, E. Melloni, F. Salamino, Monica Averna, Roberta De Tullio and Chiara Cervetto. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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