Véronique Robert-Hebmann
- Virology top 1%
- Immunology top 5%
- Epidemiology top 5%
- Molecular Biology
- Infectious Diseases top 5%
- Co-authors
- Christian DevauxMartine Biard‐PiechaczykLucile EspertJoachim RolandSophie SagnierLaurence BriantMihayl VarbanovMélanie Denizot
- Topics
- HIV Research and Treatment (31 papers)Immune Cell Function and Interaction (15 papers)Autophagy in Disease and Therapy (14 papers)
- Cited by
- VirologyImmunologyEpidemiology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Véronique Robert-Hebmann
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Virology 740
- Immunology 706
- Epidemiology 481
- Molecular Biology 366
- Infectious Diseases 245
Countries citing papers authored by Véronique Robert-Hebmann
This map shows the geographic impact of Véronique Robert-Hebmann'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 Véronique Robert-Hebmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Véronique Robert-Hebmann more than expected).
Fields of papers citing papers by Véronique Robert-Hebmann
This network shows the impact of papers produced by Véronique Robert-Hebmann. 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 Véronique Robert-Hebmann. The network helps show where Véronique Robert-Hebmann may publish in the future.
Co-authorship network of co-authors of Véronique Robert-Hebmann
This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Robert-Hebmann. A scholar is included among the top collaborators of Véronique Robert-Hebmann 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 Véronique Robert-Hebmann. Véronique Robert-Hebmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 106 | |
| 5 | 105 | |
| 6 | 27 | |
| 7 | 23 | |
| 8 | 55 | |
| 9 | 73 | |
| 10 | 63 | |
| 11 | 10 | |
| 12 | 96 | |
| 13 | 55 | |
| 14 | 9 | |
| 15 | 52 | |
| 16 | 13 | |
| 17 | Involvement of extracellular signal-regulated kinase module in HIV-mediated CD4 signals controlling activation of nuclear factor-kappa B and AP-1 transcription factors. | 59 |
| 18 | 34 | |
| 19 | 41 | |
| 20 | 14 |
About Véronique Robert-Hebmann
Véronique Robert-Hebmann is a scholar working on Virology, Immunology and Epidemiology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (31 papers), Immune Cell Function and Interaction (15 papers) and Autophagy in Disease and Therapy (14 papers). The work is most often cited by research in Virology (740 citations), Immunology (706 citations) and Epidemiology (481 citations). Véronique Robert-Hebmann has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christian Devaux, Martine Biard‐Piechaczyk, Lucile Espert, Joachim Roland, Sophie Sagnier, Laurence Briant, Mihayl Varbanov, Mélanie Denizot, Anne Brunet and Jacques Pouysségur. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Journal of 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.