Arnaud Amzallag

2.7k total citations
16 papers, 460 citations indexed

About

Arnaud Amzallag is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Arnaud Amzallag has authored 16 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Hematology. Recurrent topics in Arnaud Amzallag's work include Multiple Myeloma Research and Treatments (3 papers), RNA and protein synthesis mechanisms (3 papers) and Acute Myeloid Leukemia Research (2 papers). Arnaud Amzallag is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), RNA and protein synthesis mechanisms (3 papers) and Acute Myeloid Leukemia Research (2 papers). Arnaud Amzallag collaborates with scholars based in United States, Switzerland and Canada. Arnaud Amzallag's co-authors include Cyril H. Benes, J. M. Somers, Iulian Pruteanu-Malinici, Patricia Greninger, Robert Morris, Sridhar Ramaswamy, Wilhelm Haas, John D. Lapek, Ioannis Xénarios and Jacques Rougemont and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Arnaud Amzallag

16 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Amzallag United States 11 359 65 48 45 40 16 460
W. Mark Abbott United Kingdom 13 439 1.2× 75 1.2× 31 0.6× 86 1.9× 39 1.0× 23 606
Frank Schumann Germany 9 396 1.1× 76 1.2× 17 0.4× 38 0.8× 22 0.6× 11 613
Andreu Alibés Spain 14 623 1.7× 107 1.6× 9 0.2× 55 1.2× 40 1.0× 21 795
Manuel Giollo Italy 9 354 1.0× 46 0.7× 20 0.4× 11 0.2× 22 0.6× 14 440
Thomas Zögg Belgium 9 374 1.0× 33 0.5× 59 1.2× 24 0.5× 15 0.4× 16 560
Krassen Dimitrov Australia 10 447 1.2× 31 0.5× 27 0.6× 19 0.4× 35 0.9× 17 531
Sierra A. Colavito United States 8 488 1.4× 141 2.2× 39 0.8× 88 2.0× 70 1.8× 9 602
Stefan Ewert Switzerland 10 791 2.2× 24 0.4× 21 0.4× 91 2.0× 21 0.5× 11 984
Alexander Kister United States 15 554 1.5× 42 0.6× 20 0.4× 64 1.4× 11 0.3× 41 801
Catherine Snow United Kingdom 3 411 1.1× 53 0.8× 8 0.2× 46 1.0× 73 1.8× 3 544

Countries citing papers authored by Arnaud Amzallag

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Amzallag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Amzallag

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Amzallag. A scholar is included among the top collaborators of Arnaud Amzallag 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 Arnaud Amzallag. Arnaud Amzallag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Amzallag, Arnaud, Jason R. Westin, Marc Hoffmann, et al.. (2024). Golcadomide (GOLCA) Plus R-CHOP Has High Minimal Residual Disease (MRD) Negativity across High-Risk, Untreated Aggressive B-Cell Lymphoma (a-BCL). Blood. 144(Supplement 1). 579–579. 2 indexed citations
2.
Menezes, Daniel L., Andrew H. Wei, Hartmut Döhner, et al.. (2023). P411: LONGITUDINAL CHARACTERIZATION OF MOLECULAR VARIANTS AT REMISSION AND RELAPSE: SUBANALYSIS OF THE QUAZAR AML-001 TRIAL. HemaSphere. 7(S3). e930876b–e930876b. 1 indexed citations
3.
Menezes, Daniel L., Arnaud Amzallag, Wendy L. See, et al.. (2023). Clonal Dynamics of Gene Mutations during Oral Azacitidine Maintenance Therapy in Patients with Acute Myeloid Leukemia (AML): Outcomes from the QUAZAR AML-001 Trial. Blood. 142(Supplement 1). 1582–1582. 1 indexed citations
4.
Stong, Nicholas, Ethan Thompson, Amy Xu, et al.. (2023). Tumor-intrinsic features associated with progression-free survival (PFS) in patients (pts) with relapsed and refractory multiple myeloma (RRMM) treated with idecabtagene vicleucel (ide-cel).. Journal of Clinical Oncology. 41(16_suppl). 8035–8035. 1 indexed citations
5.
Mahadevan, Krishnan K., Kshitij S. Arora, Arnaud Amzallag, et al.. (2019). Quasimesenchymal phenotype predicts systemic metastasis in pancreatic ductal adenocarcinoma. Modern Pathology. 32(6). 844–854. 4 indexed citations
6.
Amzallag, Arnaud, Sridhar Ramaswamy, & Cyril H. Benes. (2019). Statistical assessment and visualization of synergies for large-scale sparse drug combination datasets. BMC Bioinformatics. 20(1). 83–83. 20 indexed citations
7.
Lapek, John D., Patricia Greninger, Robert Morris, et al.. (2017). Detection of dysregulated protein-association networks by high-throughput proteomics predicts cancer vulnerabilities. Nature Biotechnology. 35(10). 983–989. 104 indexed citations
8.
Conery, Andrew R., Richard C. Centore, Archana Bommi‐Reddy, et al.. (2016). Preclinical Anticancer Efficacy of BET Bromodomain Inhibitors Is Determined by the Apoptotic Response. Cancer Research. 76(6). 1313–1319. 23 indexed citations
9.
Friedman, Adam A., Arnaud Amzallag, Iulian Pruteanu-Malinici, et al.. (2015). Landscape of Targeted Anti-Cancer Drug Synergies in Melanoma Identifies a Novel BRAF-VEGFR/PDGFR Combination Treatment. PLoS ONE. 10(10). e0140310–e0140310. 31 indexed citations
10.
Kim, Woo‐Jae, Ben S. Wittner, Arnaud Amzallag, et al.. (2015). The WTX Tumor Suppressor Interacts with the Transcriptional Corepressor TRIM28. Journal of Biological Chemistry. 290(23). 14381–14390. 15 indexed citations
11.
Korenjak, Michael, Eun‐Jeong Kwon, Robert Morris, et al.. (2014). dREAM co-operates with insulator-binding proteins and regulates expression at divergently paired genes. Nucleic Acids Research. 42(14). 8939–8953. 18 indexed citations
12.
Foudi, Adlen, Daniel J. Kramer, Jinzhong Qin, et al.. (2014). Distinct, strict requirements for Gfi-1b in adult bone marrow red cell and platelet generation. The Journal of Experimental Medicine. 211(5). 909–927. 38 indexed citations
13.
Demurtas, Davide, Arnaud Amzallag, Eric J. Rawdon, et al.. (2009). Bending modes of DNA directly addressed by cryo-electron microscopy of DNA minicircles. Nucleic Acids Research. 37(9). 2882–2893. 42 indexed citations
14.
Rougemont, Jacques, Arnaud Amzallag, Christian Iseli, et al.. (2008). Probabilistic base calling of Solexa sequencing data. BMC Bioinformatics. 9(1). 431–431. 71 indexed citations
15.
Amzallag, Arnaud, Cédric Vaillant, Mathews Jacob, et al.. (2006). 3D reconstruction and comparison of shapes of DNA minicircles observed by cryo-electron microscopy. Nucleic Acids Research. 34(18). e125–e125. 31 indexed citations
16.
Somers, J. M., et al.. (1973). Genetic Fine Structure of the Leucine Operon of Escherichia coli K-12. Journal of Bacteriology. 113(3). 1268–1272. 58 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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