Arthur Liberzon

26.8k total citations · 2 hit papers
17 papers, 12.0k citations indexed

About

Arthur Liberzon is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Arthur Liberzon has authored 17 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Arthur Liberzon's work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Genomics and Chromatin Dynamics (3 papers). Arthur Liberzon is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Genomics and Chromatin Dynamics (3 papers). Arthur Liberzon collaborates with scholars based in United States, Israel and Japan. Arthur Liberzon's co-authors include Jill P. Mesirov, Pablo Tamayo, Helga Thorvaldsdóttir, Chet Birger, Mahmoud Ghandi, Reid M. Pinchback, Aravind Subramanian, Jernej Godec, Atul J. Butte and W. Nicholas Haining and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Immunity.

In The Last Decade

Arthur Liberzon

17 papers receiving 11.9k citations

Hit Papers

The Molecular Signatures Database Hallmark Gene Set Colle... 2011 2026 2016 2021 2015 2011 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur Liberzon United States 12 7.1k 3.1k 2.5k 2.4k 2.3k 17 12.0k
Adriana Heguy United States 60 6.9k 1.0× 2.9k 0.9× 3.2k 1.3× 2.3k 1.0× 1.9k 0.8× 178 14.0k
Mark W. Kieran United States 65 6.7k 0.9× 2.7k 0.9× 2.7k 1.0× 1.7k 0.7× 2.5k 1.1× 268 14.9k
Fredrik Pontén Sweden 60 8.3k 1.2× 2.8k 0.9× 3.7k 1.4× 1.8k 0.8× 1.8k 0.8× 272 14.2k
Pornpimol Charoentong Austria 24 5.0k 0.7× 2.4k 0.8× 3.6k 1.4× 2.4k 1.0× 2.9k 1.2× 39 11.1k
Kazuaki Takabe United States 60 7.0k 1.0× 2.8k 0.9× 4.3k 1.7× 2.3k 1.0× 2.1k 0.9× 398 12.6k
Jen‐Tsan Chi United States 53 7.1k 1.0× 4.6k 1.5× 1.8k 0.7× 2.0k 0.9× 1.2k 0.5× 146 11.7k
Diether Lambrechts Belgium 53 6.3k 0.9× 2.8k 0.9× 3.9k 1.6× 2.1k 0.9× 1.8k 0.8× 296 14.4k
Hui‐Kuan Lin United States 53 7.6k 1.1× 2.4k 0.8× 2.3k 0.9× 1.8k 0.8× 1.1k 0.5× 120 10.7k
Mahmoud Ghandi United States 14 5.5k 0.8× 2.2k 0.7× 2.1k 0.8× 1.7k 0.7× 1.6k 0.7× 27 8.9k
Daniel E. Johnson United States 46 8.4k 1.2× 2.3k 0.7× 4.3k 1.7× 1.5k 0.6× 2.2k 0.9× 133 13.6k

Countries citing papers authored by Arthur Liberzon

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Liberzon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Liberzon

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

All Works

17 of 17 papers shown
1.
Ramachandran, Shyam, Dmitri Y. Boudko, Ella A. Meleshkevitch, et al.. (2021). Translating in vitro CFTR rescue into small molecule correctors for cystic fibrosis using the Library of Integrated Network‐based Cellular Signatures drug discovery platform. CPT Pharmacometrics & Systems Pharmacology. 11(2). 240–251. 3 indexed citations
2.
Chen, Qingyu, Ramona Britto, Ivan Erill, et al.. (2020). Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases. Genomics Proteomics & Bioinformatics. 18(2). 91–103. 16 indexed citations
3.
Lopes, Jared E., Rachel L. Dusek, Liliane Robillard, et al.. (2020). Abstract 2202: The combination of a mouse ortholog of ALKS 4230, a selective agonist of the intermediate affinity IL-2 receptor, and the angiogenesis inhibitor lucitanib enhances antitumor activity. Cancer Research. 80(16_Supplement). 2202–2202. 2 indexed citations
4.
Godec, Jernej, Yan Tan, Arthur Liberzon, et al.. (2016). Compendium of Immune Signatures Identifies Conserved and Species-Specific Biology in Response to Inflammation. Immunity. 44(1). 194–206. 176 indexed citations
5.
Liberzon, Arthur, Chet Birger, Helga Thorvaldsdóttir, et al.. (2015). The Molecular Signatures Database Hallmark Gene Set Collection. Cell Systems. 1(6). 417–425. 7058 indexed citations breakdown →
6.
Liberzon, Arthur. (2014). A Description of the Molecular Signatures Database (MSigDB) Web Site. Methods in molecular biology. 1150. 153–160. 162 indexed citations
7.
Cohen, Meital, et al.. (2013). Unbiased transcriptome signature of in vivo cell proliferation reveals pro- and antiproliferative gene networks. Cell Cycle. 12(18). 2992–3000. 20 indexed citations
8.
Tamayo, Pablo, George F. Steinhardt, Arthur Liberzon, & Jill P. Mesirov. (2012). The limitations of simple gene set enrichment analysis assuming gene independence. Statistical Methods in Medical Research. 25(1). 472–487. 4 indexed citations
9.
Lai, Liming, et al.. (2012). AraPath: a knowledgebase for pathway analysis in Arabidopsis. Bioinformatics. 28(17). 2291–2292. 19 indexed citations
10.
Villanueva, Augusto, Yujin Hoshida, Carlo Battiston, et al.. (2011). Combining Clinical, Pathology, and Gene Expression Data to Predict Recurrence of Hepatocellular Carcinoma. Gastroenterology. 140(5). 1501–1512.e2. 312 indexed citations
11.
Liberzon, Arthur, Aravind Subramanian, Reid M. Pinchback, et al.. (2011). Molecular signatures database (MSigDB) 3.0. Bioinformatics. 27(12). 1739–1740. 3978 indexed citations breakdown →
12.
Kuehn, Kathleen, Arthur Liberzon, Michael Reich, & Jill P. Mesirov. (2008). Using GenePattern for Gene Expression Analysis. Current Protocols in Bioinformatics. 22(1). 7.12.1–7.12.39. 67 indexed citations
13.
Liu, Manway, Arthur Liberzon, Sek Won Kong, et al.. (2007). Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models. PLoS Genetics. 3(6). e96–e96. 132 indexed citations
14.
Liberzon, Arthur. (2004). Role of intrinsic DNA binding specificity in defining target genes of the mammalian transcription factor PDX1. Nucleic Acids Research. 32(1). 54–64. 31 indexed citations
15.
Ioshikhes, Ilya, et al.. (1998). Interdependence between DNA template secondary structure and priming efficiencies of short primers. Nucleic Acids Research. 26(23). 5525–5532. 4 indexed citations
16.
Liberzon, Arthur, et al.. (1996). Association of yeast SAP1, a novel member of the ‘AAA’ ATPase family of proteins, with the chromatin protein SIN1. FEBS Letters. 388(1). 5–10. 15 indexed citations
17.
Shpungin, Sally, et al.. (1996). Association of yeast SIN1 with the tetratrico peptide repeats of CDC23.. Proceedings of the National Academy of Sciences. 93(16). 8274–8277. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026