Laura Barberis

1.9k total citations
23 papers, 1.6k citations indexed

About

Laura Barberis is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Laura Barberis has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Cell Biology. Recurrent topics in Laura Barberis's work include PI3K/AKT/mTOR signaling in cancer (6 papers), Catalysts for Methane Reforming (4 papers) and Catalytic Processes in Materials Science (4 papers). Laura Barberis is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), Catalysts for Methane Reforming (4 papers) and Catalytic Processes in Materials Science (4 papers). Laura Barberis collaborates with scholars based in Italy, United States and Switzerland. Laura Barberis's co-authors include Emilio Hirsch, Fiorella Altruda, Matthias P. Wymann, Mara Brancaccio, Ornella Azzolino, Giuseppe Lembo, Lorenzo Silengo, Enrico Patrucco, Guido Tarone and Angelo Maffei and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Laura Barberis

23 papers receiving 1.6k citations

Peers

Laura Barberis
Comparison fields: 5 of 97
  • Molecular Biology 848
  • Immunology 360
  • Immunology and Allergy 240
  • Oncology 219
  • Cell Biology 214
Replace Huiyun Xu with:
Huiyun Xu China
Andrea Casazza Italy
Sheng Cao United States
María‐Dolores Chiara Spain
Laurent Lamalice Canada
Е. Р. Андреева Russia
Shoji Yamanaka Japan
Shao H. Yang United States
Huiyun Xu China View profile →
Citations per field, relative to Laura Barberis
Laura Barberis · 1×
Citations per year, relative to Laura Barberis
Laura Barberis · 1×

Countries citing papers authored by Laura Barberis

Since Specialization
Citations

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

Fields of papers citing papers by Laura Barberis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Barberis

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Barberis. A scholar is included among the top collaborators of Laura Barberis 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 Laura Barberis. Laura Barberis 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 17
2 29
3 22
4 54
5 37
6 6
7 49
8 21
9
Signaling through PI3Kgamma: a common platform for leukocyte, platelet and cardiovascular stress sensing.
47
10 117
11 58
12 38
13 136
14 382
15 19
16 42
17 82
18 69
19 27
20 144

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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