Barry Zorman

1.3k total citations
13 papers, 309 citations indexed

About

Barry Zorman is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Barry Zorman has authored 13 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Cancer Research. Recurrent topics in Barry Zorman's work include Acute Myeloid Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and RNA modifications and cancer (2 papers). Barry Zorman is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and RNA modifications and cancer (2 papers). Barry Zorman collaborates with scholars based in United States, Italy and United Kingdom. Barry Zorman's co-authors include Pavel Sumazin, Dolores López‐Terrada, Stephen F. Sarabia, Milton J. Finegold, D. Williams Parsons, Kayuri Patel, Toni‐Ann Mistretta, Sarah A. Comerford, Yidong Chen and Murali Chintagumpala and has published in prestigious journals such as Nature Communications, PLoS ONE and Hepatology.

In The Last Decade

Barry Zorman

13 papers receiving 309 citations

Peers

Barry Zorman
Ashley Eheim Germany
Pamela A. Hankey United States
Hyunsoo Rho United States
Stephanie Dorman United States
Barry Zorman
Citations per year, relative to Barry Zorman Barry Zorman (= 1×) peers Wael Naboulsi

Countries citing papers authored by Barry Zorman

Since Specialization
Citations

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

Fields of papers citing papers by Barry Zorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barry Zorman

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

All Works

13 of 13 papers shown
1.
Park, Chun Shik, et al.. (2025). KLF4 enhances transplantation-induced hematopoiesis by inhibiting TLRs and noncanonical NFκB signaling at a steady state. Experimental Hematology. 144. 104730–104730. 1 indexed citations
2.
Zorman, Barry, Pavel Sumazin, Gino M Dettorre, et al.. (2024). A transgenic mouse model of Down syndrome acute lymphoblastic leukemia identifies targetable vulnerabilities. Haematologica. 109(12). 4083–4088. 2 indexed citations
3.
Chen, Taylor J, et al.. (2022). Krüppel-like Factor 4 Supports the Expansion of Leukemia Stem Cells in MLL-AF9-driven Acute Myeloid Leukemia. Stem Cells. 40(8). 736–750. 5 indexed citations
4.
Zorman, Barry, et al.. (2022). CRLF2 overexpression results in reduced B-cell differentiation and upregulated E2F signaling in the Dp16 mouse model of Down syndrome. Experimental Hematology. 110. 34–38. 3 indexed citations
5.
Tao, Ling, Mahmoud A. Mohammad, Giorgio Milazzo, et al.. (2022). MYCN-driven fatty acid uptake is a metabolic vulnerability in neuroblastoma. Nature Communications. 13(1). 3728–3728. 38 indexed citations
7.
Bissig-Choisat, Beatrice, Michele Alves‐Bezerra, Barry Zorman, et al.. (2021). A human liver chimeric mouse model for non-alcoholic fatty liver disease. JHEP Reports. 3(3). 100281–100281. 35 indexed citations
8.
Fu, Yu, Barry Zorman, Pavel Sumazin, Pietro Paolo Sanna, & Vez Repunte‐Canonigo. (2019). Epitranscriptomics: Correlation of N6-methyladenosine RNA methylation and pathway dysregulation in the hippocampus of HIV transgenic rats. PLoS ONE. 14(1). e0203566–e0203566. 11 indexed citations
9.
Guglielmo, Giordano de, Yu Fu, Tomoya Kawamura, et al.. (2019). Increases in compulsivity, inflammation, and neural injury in HIV transgenic rats with escalated methamphetamine self-administration under extended-access conditions. Brain Research. 1726. 146502–146502. 17 indexed citations
10.
Barzi, Mercedes, Barry Zorman, Xing Liu, et al.. (2017). A novel humanized mouse lacking murine P450 oxidoreductase for studying human drug metabolism. Nature Communications. 8(1). 39–39. 27 indexed citations
11.
Woodfield, Sarah E., Yan Shi, Roma H. Patel, et al.. (2017). A Novel Cell Line Based Orthotopic Xenograft Mouse Model That Recapitulates Human Hepatoblastoma. Scientific Reports. 7(1). 17751–17751. 22 indexed citations
12.
Sumazin, Pavel, Yidong Chen, Lisa R. Treviño, et al.. (2016). Genomic analysis of hepatoblastoma identifies distinct molecular and prognostic subgroups. Hepatology. 65(1). 104–121. 142 indexed citations
13.
Bordner, Andrew J., Barry Zorman, & Ruben Abagyan. (2011). Efficient molecular mechanics simulations of the folding, orientation, and assembly of peptides in lipid bilayers using an implicit atomic solvation model. Journal of Computer-Aided Molecular Design. 25(10). 895–911. 4 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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