Joseph Suzow

727 total citations
11 papers, 649 citations indexed

About

Joseph Suzow is a scholar working on Molecular Biology, Immunology and Clinical Biochemistry. According to data from OpenAlex, Joseph Suzow has authored 11 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Clinical Biochemistry. Recurrent topics in Joseph Suzow's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (3 papers). Joseph Suzow is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (3 papers). Joseph Suzow collaborates with scholars based in United States. Joseph Suzow's co-authors include Alan D. Friedman, Issarang Nuchprayoon, Scott W. Hiebert, Samuel P. Meyers, Latanya M. Scott, Alexandre F.R. Stewart, Toru Kubota, Hsiao‐Huei Chen, Edwin W. Naylor and Linda M. Scott and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Joseph Suzow

11 papers receiving 640 citations

Peers

Joseph Suzow
Uwe Schlokat Austria
Janet Stiernberg United States
Doris Y. Chih United States
Fui G. Goh United Kingdom
Amy Goldberger United States
Ashwin Basavaraj United States
Claudette M. Comeau United States
Uwe Schlokat Austria
Joseph Suzow
Citations per year, relative to Joseph Suzow Joseph Suzow (= 1×) peers Uwe Schlokat

Countries citing papers authored by Joseph Suzow

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Suzow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Suzow

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

All Works

11 of 11 papers shown
1.
Lin, Zhili, et al.. (2005). A Simple Automated DNA Extraction Method for Dried Blood Specimens Collected on Filter Paper. JALA Journal of the Association for Laboratory Automation. 10(5). 310–314. 11 indexed citations
2.
Lin, Zhili, et al.. (2004). A high throughput β-globin genotyping method by multiplexed melting temperature analysis. Molecular Genetics and Metabolism. 81(3). 237–243. 13 indexed citations
3.
Dobrowolski, Steven F., et al.. (2003). Analysis of Common Mutations in the Galactose-1-Phosphate Uridyl Transferase Gene. Journal of Molecular Diagnostics. 5(1). 42–47. 26 indexed citations
4.
Zhu, Chongxue, et al.. (2000). Identification of the Functional Domain in the Transcription Factor RTEF-1 That Mediates α1-Adrenergic Signaling in Hypertrophied Cardiac Myocytes. Journal of Biological Chemistry. 275(23). 17476–17480. 40 indexed citations
5.
Stewart, Alexandre F.R., et al.. (1998). Transcription Factor RTEF-1 Mediates α 1 -Adrenergic Reactivation of the Fetal Gene Program in Cardiac Myocytes. Circulation Research. 83(1). 43–49. 68 indexed citations
6.
Stewart, Alexandre F.R., Charles W. Richard, Joseph Suzow, et al.. (1996). Cloning of Human RTEF-1, a Transcriptional Enhancer Factor-1-Related Gene Preferentially Expressed in Skeletal Muscle: Evidence for an Ancient Multigene Family. Genomics. 37(1). 68–76. 39 indexed citations
7.
Friedman, Alan D., et al.. (1996). The murine myeloperoxidase gene contains a bipartite distal enhancer, including a novel region regulated by PEBP2/CBF. Leukemia Research. 20(10). 809–815. 11 indexed citations
8.
Nuchprayoon, Issarang, Shari Meyers, Linda M. Scott, et al.. (1994). PEBP2/CBF, the Murine Homolog of the Human Myeloid AML1 and PEBP2β/CBFβ Proto-oncoproteins, Regulates the Murine Myeloperoxidase and Neutrophil Elastase Genes in Immature Myeloid Cells. Molecular and Cellular Biology. 14(8). 5558–5568. 50 indexed citations
10.
Suzow, Joseph & Alan D. Friedman. (1993). The murine myeloperoxidase promoter contains several functional elements, one of which binds a cell type-restricted transcription factor, myeloid nuclear factor 1 (MyNF1).. Molecular and Cellular Biology. 13(4). 2141–2151. 91 indexed citations
11.
Suzow, Joseph & Alan D. Friedman. (1993). The Murine Myeloperoxidase Promoter Contains Several Functional Elements, One of Which Binds a Cell Type-Restricted Transcription Factor, Myeloid Nuclear Factor 1 (MyNF1). Molecular and Cellular Biology. 13(4). 2141–2151. 26 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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