Patrizia Rosa

6.7k citations
74 papers · 5.7k indexed · h-index 42
Topics
Cellular transport and secretion (30 papers)Lipid Membrane Structure and Behavior (17 papers)Glycosylation and Glycoproteins Research (8 papers)

In The Last Decade

Patrizia Rosa

73 papers receiving 5.6k citations

Peers

Patrizia Rosa
Comparison fields: 5 of 121
  • Molecular Biology 3.3k
  • Cell Biology 1.9k
  • Cellular and Molecular Neuroscience 1.8k
  • Physiology 608
  • Physiology 607
Replace Nobuaki Maeda with:
Nobuaki Maeda Japan
Gudrun Ahnert‐Hilger Germany
Hironori Katoh Japan
John R. Hepler United States
Rubén J. Boado United States
Miyuki Nishi Japan
Michaela Schweizer Germany
Kazushi Kimura Japan
Xinran Liu United States
Reiner Fischer‐Colbrie Austria
Patrizia Rosa relative to Nobuaki Maeda Japan Nobuaki Maeda's profile →
Citations per field
00.5×1.6×
Nobuaki Maeda · 1×
Citations per year

Countries citing papers authored by Patrizia Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Rosa. A scholar is included among the top collaborators of Patrizia 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 Patrizia Rosa. Patrizia 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 47
2 59
3 38
4 99
5 41
6 54
7 181
8 34
9 46
10 26
11 354
12 9
13 80
14 2
15 44
16 52
17 26
18 67
19 29
20 73

About Patrizia Rosa

Patrizia Rosa is a scholar working on Cell Biology, Physiology and Developmental Neuroscience, having authored 74 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (30 papers), Lipid Membrane Structure and Behavior (17 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Physiology (608 citations), Cell Biology (1.9k citations) and Developmental Neuroscience (487 citations). Patrizia Rosa has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Wieland Β. Huttner, H. Gerdes, A Zanini, Elena Taverna, Annette Hille, Claudia Verderio, Michela Matteoli, Maria P. Abbracchio, Maura Francolini and Federico Calegari. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell 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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