Claudia Dall’Armi

2.0k citations
15 papers · 1.6k indexed · h-index 14
Topics
Autophagy in Disease and Therapy (6 papers)Cellular transport and secretion (6 papers)Calcium signaling and nucleotide metabolism (5 papers)
Partner nations
United StatesItalyJapan

In The Last Decade

Claudia Dall’Armi

15 papers receiving 1.6k citations

Peers

Claudia Dall’Armi
Comparison fields: 5 of 94
  • Molecular Biology 808
  • Cell Biology 600
  • Epidemiology 562
  • Physiology 342
  • Physiology 161
Replace Akiko Nezu with:
Akiko Nezu Japan
Prasanna Satpute‐Krishnan United States
Choah Kim United States
Hongyu Zhao China
Bindi Patel United States
Caroline Mauvezin Spain
Elaine A. Dunlop United Kingdom
Alexander R. van Vliet Belgium
Mariella Vicinanza United Kingdom
Emilie Tresse France
Claudia Dall’Armi relative to Akiko Nezu Japan Akiko Nezu's profile →
Citations per field
00.5×1.5×
Akiko Nezu · 1×
Citations per year

Countries citing papers authored by Claudia Dall’Armi

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Dall’Armi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia Dall’Armi. 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 Claudia Dall’Armi. The network helps show where Claudia Dall’Armi may publish in the future.

Co-authorship network of co-authors of Claudia Dall’Armi

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Dall’Armi. A scholar is included among the top collaborators of Claudia Dall’Armi 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 Claudia Dall’Armi. Claudia Dall’Armi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 26
3 39
4 70
5 39
6 214
7 174
8 151
9 92
10 188
11 161
12 140
13 158
14 62
15 60

About Claudia Dall’Armi

Claudia Dall’Armi is a scholar working on Physiology, Cell Biology and Biochemistry, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Cellular transport and secretion (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). The work is most often cited by research in Cell Biology (600 citations), Physiology (161 citations) and Epidemiology (562 citations). Claudia Dall’Armi has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Gilbert Di Paolo, Markus R. Wenk, Robin Chan, Peter S. McPherson, Andrea L. Marat, Patrick D. Allaire, Brigitte Ritter, Akitsugu Yamamoto, Hiroshi Koga and Guanghou Shui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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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