Véronique Baud

8.1k total citations · 3 hit papers
59 papers, 5.7k citations indexed

About

Véronique Baud is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Véronique Baud has authored 59 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cancer Research, 24 papers in Molecular Biology and 21 papers in Immunology. Recurrent topics in Véronique Baud's work include NF-κB Signaling Pathways (23 papers), Immune Response and Inflammation (9 papers) and interferon and immune responses (7 papers). Véronique Baud is often cited by papers focused on NF-κB Signaling Pathways (23 papers), Immune Response and Inflammation (9 papers) and interferon and immune responses (7 papers). Véronique Baud collaborates with scholars based in France, United States and Canada. Véronique Baud's co-authors include Michael Karin, Yinling Hu, Michael Karin, Mireille Delhase, Mark H. Ellisman, Thomas J. Deerinck, Randall S. Johnson, Peilin Zhang, Brydon L. Bennett and Nobutaka Suzuki and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Véronique Baud

56 papers receiving 5.6k citations

Hit Papers

Signal transduction by tumor necrosis factor and its rela... 1999 2026 2008 2017 2001 2008 1999 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Signal transduction by tumor necrosis factor and its relatives
    2001 1.4k citations Véronique Baud et al. profile →
  2. Is NF-κB a good target for cancer therapy? Hopes and pitfalls
    2008 871 citations Véronique Baud et al. profile →
  3. Abnormal Morphogenesis But Intact IKK Activation in Mice Lacking the IKKα Subunit of IκB Kinase
    1999 704 citations Yinling Hu, Véronique Baud et al. profile →

Peers

Véronique Baud
Youhai H. Chen United States
Francesca Zazzeroni Italy
Falk Weih Germany
Makio Hayakawa Japan
Andrea Oeckinghaus Germany
Alain Chariot Belgium
Julianna Blagih Canada
Yixue Cao United States
Nikolay Malinin United States
Caridad Rosette United States
Youhai H. Chen United States
Véronique Baud
Citations per year, relative to Véronique Baud Véronique Baud (= 1×) peers Youhai H. Chen

Countries citing papers authored by Véronique Baud

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Baud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Baud

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Baud. A scholar is included among the top collaborators of Véronique Baud 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 Baud. Véronique Baud 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
1.
Lordello, Leonardo, Isabelle Martins, Jacqueline Lehmann‐Che, et al.. (2025). Metabolic Heterogeneity in Diffuse Large B-Cell Lymphoma Cells Reveals an Innovative Antimetabolic Combination Strategy. Cancers. 17(3). 394–394.
2.
Martins, Isabelle, et al.. (2025). Fatty Acid Metabolism Provides an Essential Survival Signal in OxPhos and BCR DLBCL Cells. Biomedicines. 13(3). 707–707. 2 indexed citations
3.
Bertho, Gildas, Loïc Chartier, Fabrice Jardin, et al.. (2025). Risk stratification of patients with diffuse large B-cell lymphoma using plasma NMR-based metabolomics at diagnosis. Blood Advances. 10(2). 358–366.
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Chen, X., et al.. (2022). Absolute Metabolite Quantification Using Pure Shift NMR: Toward Quantitative Metabolic Profiling of Aqueous Biological Samples. Analytical Chemistry. 94(43). 14974–14984. 12 indexed citations
7.
Bertho, Gildas, Leonardo Lordello, X. Chen, et al.. (2022). Ultrahigh-Resolution NMR with Water Signal Suppression for a Deeper Understanding of the Action of Antimetabolic Drugs on Diffuse Large B-Cell Lymphoma. Journal of Proteome Research. 21(4). 1041–1051. 15 indexed citations
8.
Perrot‐Applanat, Martine, et al.. (2022). Differential Expression of Genes Involved in Metabolism and Immune Response in Diffuse and Intestinal Gastric Cancers, a Pilot Ptudy. Biomedicines. 10(2). 240–240. 4 indexed citations
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Thiéblemont, Catherine, et al.. (2020). NF-κB in the New Era of Cancer Therapy. Trends in cancer. 6(8). 677–687. 63 indexed citations
11.
Terry, Stéphane, Agnete S. T. Engelsen, Stéphanie Buart, et al.. (2019). AXL Targeting Overcomes Human Lung Cancer Cell Resistance to NK- and CTL-Mediated Cytotoxicity. Cancer Immunology Research. 7(11). 1789–1802. 61 indexed citations
12.
Ronin, Émilie, Martina Lubrano di Ricco, Ho‐Keun Kwon, et al.. (2019). The NF-κB RelA Transcription Factor Is Critical for Regulatory T Cell Activation and Stability. Frontiers in Immunology. 10. 2487–2487. 38 indexed citations
13.
Hasmim, Meriem, Bassam Janji, Mehdi Khaled, et al.. (2017). Cutting Edge: NANOG Activates Autophagy under Hypoxic Stress by Binding to BNIP3L Promoter. The Journal of Immunology. 198(4). 1423–1428. 31 indexed citations
14.
Baud, Véronique, et al.. (2016). Post-Translational Modifications of RelB NF-κB Subunit and Associated Functions. Cells. 5(2). 22–22. 34 indexed citations
15.
Anson, Marie, Anne‐Marie Crain‐Denoyelle, Véronique Baud, et al.. (2012). Oncogenic β-catenin triggers an inflammatory response that determines the aggressiveness of hepatocellular carcinoma in mice. Journal of Clinical Investigation. 122(2). 586–599. 151 indexed citations
16.
Léotoing, Laurent, Fanny Chéreau, Silvère Baron, et al.. (2011). A20-binding Inhibitor of Nuclear Factor-κB (NF-κB)-2 (ABIN-2) Is an Activator of Inhibitor of NF-κB (IκB) Kinase α (IKKα)-mediated NF-κB Transcriptional Activity. Journal of Biological Chemistry. 286(37). 32277–32288. 27 indexed citations
17.
Rodrigues-Ferreira, Sylvie, Marina Morel, Rosana I. Reis, et al.. (2011). A Novel Cellular Model to Study Angiotensin II AT2 Receptor Function in Breast Cancer Cells. PubMed. 2012. 1–6. 7 indexed citations
18.
Jacque, Émilie & Véronique Baud. (2006). RelA, un nouvel acteur dans la régulation de l’activité de RelB. médecine/sciences. 22(2). 113–114. 1 indexed citations
19.
Hu, Yinling, et al.. (2001). IKKα controls formation of the epidermis independently of NF-κB. Nature. 410(6829). 710–714. 291 indexed citations
20.
Baud, Véronique, Zhanguo Liu, Brydon L. Bennett, et al.. (1999). Signaling by proinflammatory cytokines: oligomerization of TRAF2 and TRAF6 is sufficient for JNK and IKK activation and target gene induction via an amino-terminal effector domain. Genes & Development. 13(10). 1297–1308. 401 indexed citations

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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