Isabelle Robert
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
Papers in
-
- DNA Repair Mechanisms 9
- CRISPR and Genetic Engineering 5
- Oncology 12
- PARP inhibition in cancer therapy 7
- Co-authors
- Bernardo Reina‐San‐Martin (16 shared papers)Françoise Dantzer (6 shared papers)Valérie Schreiber (4 shared papers)Carole Beck (2 shared papers)Lakshman Gunaratnam (2 shared papers)Aleksandra Franovic (2 shared papers)Stephen Lee (2 shared papers)David A. Patten (1 shared paper)
- Journals
- The Journal of Experimental Medicine (6 papers)Experimental Cell Research (3 papers)Cytotherapy (1 paper)Transfusion (1 paper)Cellular and Molecular Immunology (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Isabelle Robert
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Oncology 710
- Immunology 445
- Molecular Biology 1.1k
- Cancer Research 224
- Genetics 146
Countries citing papers authored by Isabelle Robert
This map shows the geographic impact of Isabelle Robert'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 Isabelle Robert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Robert more than expected).
Fields of papers citing papers by Isabelle Robert
This network shows the impact of papers produced by Isabelle Robert. 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 Isabelle Robert. The network helps show where Isabelle Robert may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabelle Robert, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 263 | |
| 2 | 2014 | 240 | |
| 3 | 2007 | 220 | |
| 4 | 2009 | 141 | |
| 5 | 2011 | 85 | |
| 6 | 2013 | 76 | |
| 7 | 2010 | 68 | |
| 8 | 2005 | 66 | |
| 9 | 2012 | 53 | |
| 10 | 2006 | 52 | |
| 11 | 2013 | 49 | |
| 12 | 2006 | 47 | |
| 13 | 2021 | 32 | |
| 14 | 2009 | 30 | |
| 15 | 2016 | 29 | |
| 16 | 2013 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2010 | 22 | |
| 19 | 1995 | 21 | |
| 20 | 2015 | 18 |
About Isabelle Robert
Isabelle Robert is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Cancer Research, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), T-cell and B-cell Immunology (8 papers), PARP inhibition in cancer therapy (7 papers), Immune Cell Function and Interaction (6 papers), CRISPR and Genetic Engineering (5 papers), Mesenchymal stem cell research (4 papers), NF-κB Signaling Pathways (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Oncology (710 citations), Immunology (445 citations), Molecular Biology (1.1k citations), Cancer Research (224 citations) and Genetics (146 citations). Isabelle Robert has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Bernardo Reina‐San‐Martin, Françoise Dantzer, Valérie Schreiber, Carole Beck, Lakshman Gunaratnam, Aleksandra Franovic, Stephen Lee, David A. Patten, Vincent Heyer and Stuart L. Rulten. Their work appears in journals such as The Journal of Experimental Medicine, Experimental Cell Research, Cytotherapy, Transfusion and Cellular and Molecular Immunology.
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.