Catherine Alexia
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- interferon and immune responses
- T-cell and B-cell Immunology
-
- NF-κB Signaling Pathways
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Metabolism, Diabetes, and Cancer 2
- RNA Interference and Gene Delivery 2
- Immunology 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 5
- Immune cells in cancer 3
- Co-authors
- André Groyer (4 shared papers)Guillaume Fallot (2 shared papers)Ghislaine Schweizer-Groyer (1 shared paper)Julie Gavard (5 shared papers)Nicolas Bidère (5 shared papers)Martín Villalba (8 shared papers)Sonia M. Dubois (3 shared papers)Héloïse M. Leclair (4 shared papers)
In The Last Decade
Catherine Alexia
22 papers receiving 676 citations
Peers
Comparison fields: 5 of 75
- Immunology 237
- Cancer Research 133
- Hepatology 47
- Oncology 158
- Molecular Biology 337
Countries citing papers authored by Catherine Alexia
This map shows the geographic impact of Catherine Alexia'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 Catherine Alexia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Alexia more than expected).
Fields of papers citing papers by Catherine Alexia
This network shows the impact of papers produced by Catherine Alexia. 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 Catherine Alexia. The network helps show where Catherine Alexia may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Alexia, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 161 | |
| 2 | 2014 | 84 | |
| 3 | 2006 | 42 | |
| 4 | 2013 | 37 | |
| 5 | 2006 | 35 | |
| 6 | 2011 | 32 | |
| 7 | 2008 | 30 | |
| 8 | 2017 | 30 | |
| 9 | 2013 | 27 | |
| 10 | 2019 | 27 | |
| 11 | 2017 | 27 | |
| 12 | 2022 | 24 | |
| 13 | 2022 | 22 | |
| 14 | 2006 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2004 | 18 | |
| 17 | 2013 | 14 | |
| 18 | 2010 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2020 | 7 |
About Catherine Alexia
Catherine Alexia is a scholar working on Molecular Biology, Immunology, Oncology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 22 papers that have together received 685 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Immune cells in cancer (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (237 citations), Cancer Research (133 citations), Hepatology (47 citations), Oncology (158 citations) and Molecular Biology (337 citations). Catherine Alexia has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include André Groyer, Guillaume Fallot, Ghislaine Schweizer-Groyer, Julie Gavard, Nicolas Bidère, Martín Villalba, Sonia M. Dubois, Héloïse M. Leclair, Karin Tarte and Aimé Vázquez. Their work appears in journals such as Frontiers in Immunology, Blood, Annals of the New York Academy of Sciences, Scientific Reports and Cell Communication and Signaling.
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.