Claude‐Henry Volmar

2.5k total citations
55 papers, 1.7k citations indexed

About

Claude‐Henry Volmar is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Claude‐Henry Volmar has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 19 papers in Physiology and 11 papers in Cancer Research. Recurrent topics in Claude‐Henry Volmar's work include Histone Deacetylase Inhibitors Research (15 papers), Alzheimer's disease research and treatments (15 papers) and Protein Degradation and Inhibitors (11 papers). Claude‐Henry Volmar is often cited by papers focused on Histone Deacetylase Inhibitors Research (15 papers), Alzheimer's disease research and treatments (15 papers) and Protein Degradation and Inhibitors (11 papers). Claude‐Henry Volmar collaborates with scholars based in United States, United Kingdom and Canada. Claude‐Henry Volmar's co-authors include Claes Wahlestedt, Michael Mullan, Shaun P. Brothers, Nagi G. Ayad, Ghania Ait‐Ghezala, Daniel Paris, Jann N. Sarkaria, Ricardo J. Komotar, Clara Penas and Olga Khorkova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Claude‐Henry Volmar

54 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claude‐Henry Volmar United States 24 1.1k 393 256 187 157 55 1.7k
Daniel R. Premkumar United States 27 956 0.9× 648 1.6× 192 0.8× 289 1.5× 152 1.0× 44 1.9k
Marialaura Amadio Italy 28 1.6k 1.5× 313 0.8× 221 0.9× 128 0.7× 309 2.0× 59 2.4k
Jon R. Backstrom United States 14 659 0.6× 446 1.1× 391 1.5× 108 0.6× 341 2.2× 20 1.3k
Michał Dąbrowski Poland 30 1.3k 1.2× 367 0.9× 498 1.9× 315 1.7× 234 1.5× 70 2.4k
Guanghong Liao United States 19 887 0.8× 317 0.8× 116 0.5× 183 1.0× 320 2.0× 29 1.7k
Jaya Padmanabhan United States 26 1.3k 1.2× 639 1.6× 210 0.8× 212 1.1× 327 2.1× 52 2.2k
Véronique Schaeffer France 21 681 0.6× 676 1.7× 104 0.4× 134 0.7× 356 2.3× 33 2.0k
Maria Teresa Fiorenza Italy 26 927 0.9× 407 1.0× 92 0.4× 85 0.5× 147 0.9× 56 1.7k
Tomohiro Kabuta Japan 26 1.1k 1.1× 351 0.9× 157 0.6× 95 0.5× 245 1.6× 55 2.2k
Yonghe Li United States 13 597 0.6× 466 1.2× 173 0.7× 153 0.8× 236 1.5× 31 1.3k

Countries citing papers authored by Claude‐Henry Volmar

Since Specialization
Citations

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

Fields of papers citing papers by Claude‐Henry Volmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claude‐Henry Volmar. 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 Claude‐Henry Volmar. The network helps show where Claude‐Henry Volmar may publish in the future.

Co-authorship network of co-authors of Claude‐Henry Volmar

This figure shows the co-authorship network connecting the top 25 collaborators of Claude‐Henry Volmar. A scholar is included among the top collaborators of Claude‐Henry Volmar 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 Claude‐Henry Volmar. Claude‐Henry Volmar 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.
Coughlin, Caroline A., Lingxiao Li, Evan Roberts, et al.. (2025). Bruton’s tyrosine kinase inhibition re-sensitizes multidrug-resistant DLBCL tumors driven by BCL10 gain-of-function mutants to venetoclax. Blood Cancer Journal. 15(1). 9–9. 3 indexed citations
2.
Ricciardi, Natalie, Farzaneh Modarresi, Ines Lohse, et al.. (2023). Investigating the Synergistic Potential of Low-Dose HDAC3 Inhibition and Radiotherapy in Alzheimer’s Disease Models. Molecular Neurobiology. 60(8). 4811–4827. 4 indexed citations
3.
Dennison, Jessica, Armando J. Mendez, Angela Szeto, et al.. (2023). Low-Dose Chidamide Treatment Displays Sex-Specific Differences in the 3xTg-AD Mouse. Biomolecules. 13(9). 1324–1324. 4 indexed citations
4.
Volmar, Claude‐Henry, et al.. (2023). Contextualizing the Role of Osteopontin in the Inflammatory Responses of Alzheimer’s Disease. Biomedicines. 11(12). 3232–3232. 6 indexed citations
5.
Khorkova, Olga, et al.. (2023). Amplifying gene expression with RNA-targeted therapeutics. Nature Reviews Drug Discovery. 22(7). 539–561. 76 indexed citations
6.
Modarresi, Farzaneh, Natalie Ricciardi, Madina Makhmutova, et al.. (2021). A novel knockout mouse model of the noncoding antisense Brain-Derived Neurotrophic Factor (Bdnf) gene displays increased endogenous Bdnf protein and improved memory function following exercise. Heliyon. 7(7). e07570–e07570. 6 indexed citations
7.
Rodriguez, Daniel A., Stefan Kurtenbach, Daniel Bilbao, et al.. (2020). Dual Screen for Efficacy and Toxicity Identifies HDAC Inhibitor with Distinctive Activity Spectrum for BAP1-Mutant Uveal Melanoma. Molecular Cancer Research. 19(2). 215–222. 25 indexed citations
8.
Habibzadeh, Parham, Claude‐Henry Volmar, Shaun P. Brothers, et al.. (2019). HDAC Inhibitors Induce BDNF Expression and Promote Neurite Outgrowth in Human Neural Progenitor Cells-Derived Neurons. International Journal of Molecular Sciences. 20(5). 1109–1109. 18 indexed citations
9.
Stathias, Vasileios, Michele Forlin, Winston Walters, et al.. (2018). Drug and disease signature integration identifies synergistic combinations in glioblastoma. Nature Communications. 9(1). 5315–5315. 67 indexed citations
10.
Sartor, Gregory C., Ashok Kumar, Nadja S. Andrade, et al.. (2018). Enhancement of BDNF Expression and Memory by HDAC Inhibition Requires BET Bromodomain Reader Proteins. Journal of Neuroscience. 39(4). 612–626. 55 indexed citations
11.
Lohse, Ines, Hassan Al‐Ali, Claude‐Henry Volmar, et al.. (2018). Ex vivo drug sensitivity testing as a means for drug repurposing in esophageal adenocarcinoma. PLoS ONE. 13(9). e0203173–e0203173. 7 indexed citations
12.
Timmons, James A., Philip J. Atherton, Ola Larsson, et al.. (2018). A coding and non-coding transcriptomic perspective on the genomics of human metabolic disease. Nucleic Acids Research. 46(15). 7772–7792. 41 indexed citations
13.
Camarena, Vladimir, Claude‐Henry Volmar, David Sant, et al.. (2017). Vitamin C Sensitizes Melanoma to BET Inhibitors. Cancer Research. 78(2). 572–583. 37 indexed citations
14.
Volmar, Claude‐Henry, Claes Wahlestedt, & Shaun P. Brothers. (2016). Orphan diseases: state of the drug discovery art. Wiener Medizinische Wochenschrift. 167(9-10). 197–204. 10 indexed citations
15.
Swingle, Mark R., Claude‐Henry Volmar, S. Adrian Saldanha, et al.. (2016). An Ultra-High-Throughput Screen for Catalytic Inhibitors of Serine/Threonine Protein Phosphatases Types 1 and 5 (PP1C and PP5C). SLAS DISCOVERY. 22(1). 21–31. 8 indexed citations
16.
Volmar, Claude‐Henry, et al.. (2014). Differential Effects of the Gβ5-RGS7 Complex on Muscarinic M3 Receptor–Induced Ca2+ Influx and Release. Molecular Pharmacology. 85(5). 758–768. 31 indexed citations
17.
Volmar, Claude‐Henry & Claes Wahlestedt. (2014). Histone deacetylases (HDACs) and brain function. 1. 20–27. 121 indexed citations
18.
Laporte, Vincent, et al.. (2008). CD40 ligation mediates plaque-associated tau phosphorylation in β-amyloid overproducing mice. Brain Research. 1231. 132–142. 9 indexed citations
19.
Mathura, Venkatarajan S., Daniel Paris, Ghania Ait‐Ghezala, et al.. (2005). Model of Alzheimer’s disease amyloid-β peptide based on a RNA binding protein. Biochemical and Biophysical Research Communications. 332(2). 585–592. 13 indexed citations
20.
Salazar, Vielka L., et al.. (2001). Plasticity of the electric organ discharge waveform of male Brachyhypopomus pinnicaudatus . II. Social effects. Journal of Comparative Physiology A. 187(1). 45–52. 57 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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