Laura Barberis
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Catalysis top 10%
- Catalysts for Methane Reforming
Papers in
-
- Catalysts for Methane Reforming 4
- Co-authors
- Emilio Hirsch (17 shared papers)Fiorella Altruda (7 shared papers)Matthias P. Wymann (7 shared papers)Mara Brancaccio (4 shared papers)Ornella Azzolino (7 shared papers)Giuseppe Lembo (4 shared papers)Lorenzo Silengo (5 shared papers)Enrico Patrucco (4 shared papers)
- Journals
- ACS Catalysis (2 papers)Journal of Biological Chemistry (2 papers)Thrombosis and Haemostasis (2 papers)ChemCatChem (1 paper)Cell (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Laura Barberis
24 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Immunology and Allergy 237
- Catalysis 120
- Immunology 327
- Cell Biology 216
- Molecular Biology 841
Countries citing papers authored by Laura Barberis
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
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-authors
The 25 scholars most cited alongside Laura Barberis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 425 | |
| 2 | 2000 | 150 | |
| 3 | 2004 | 139 | |
| 4 | 2005 | 128 | |
| 5 | 2002 | 94 | |
| 6 | 2020 | 81 | |
| 7 | 2002 | 73 | |
| 8 | 2007 | 70 | |
| 9 | 2005 | 63 | |
| 10 | 2009 | 56 | |
| 11 | 2007 | 51 | |
| 12 | Signaling through PI3Kgamma: a common platform for leukocyte, platelet and cardiovascular stress sensing. | 2006 | 49 |
| 13 | 2004 | 45 | |
| 14 | 2022 | 43 | |
| 15 | 2005 | 40 | |
| 16 | 2022 | 38 | |
| 17 | 2008 | 37 | |
| 18 | 2022 | 28 | |
| 19 | 2002 | 27 | |
| 20 | 2024 | 27 |
About Laura Barberis
Laura Barberis is a scholar working on Catalysis, Immunology, Immunology and Allergy, Molecular Biology and Cell Biology, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Receptor Mechanisms and Signaling (4 papers), Catalytic Processes in Materials Science (4 papers), Catalysts for Methane Reforming (4 papers), Chemokine receptors and signaling (3 papers), Cell Adhesion Molecules Research (3 papers), Cellular Mechanics and Interactions (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Immunology and Allergy (237 citations), Catalysis (120 citations), Immunology (327 citations), Cell Biology (216 citations) and Molecular Biology (841 citations). Laura Barberis has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Emilio Hirsch, Fiorella Altruda, Matthias P. Wymann, Mara Brancaccio, Ornella Azzolino, Giuseppe Lembo, Lorenzo Silengo, Enrico Patrucco, Guido Tarone and Petra E. de Jongh. Their work appears in journals such as ACS Catalysis, Journal of Biological Chemistry, Thrombosis and Haemostasis, ChemCatChem and Cell.
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.