Michael Zorniak

477 total citations
10 papers, 366 citations indexed

About

Michael Zorniak is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Michael Zorniak has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Michael Zorniak's work include Cancer Cells and Metastasis (5 papers), Glioma Diagnosis and Treatment (4 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Michael Zorniak is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Glioma Diagnosis and Treatment (4 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Michael Zorniak collaborates with scholars based in United States. Michael Zorniak's co-authors include John S. Kuo, Paul A. Clark, Daniel M. Treisman, Johnathan Ebben, Haviryaji S. G. Kalluri, Deric L. Wheeler, Mari Iida, Bahauddeen M. Alrfaei, Kelli B. Pointer and David M. Francis and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Journal of neurosurgery.

In The Last Decade

Michael Zorniak

9 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Zorniak United States 8 190 135 126 95 41 10 366
Sean Tsao United States 8 275 1.4× 107 0.8× 161 1.3× 153 1.6× 28 0.7× 14 587
Mirta Varela Argentina 8 138 0.7× 93 0.7× 83 0.7× 87 0.9× 26 0.6× 10 307
Kim A. Lopez United States 5 142 0.7× 238 1.8× 242 1.9× 101 1.1× 31 0.8× 7 404
Sébastien Bougnaud Norway 8 189 1.0× 127 0.9× 153 1.2× 124 1.3× 19 0.5× 12 398
Manabu Onishi Japan 10 242 1.3× 76 0.6× 157 1.2× 134 1.4× 20 0.5× 14 425
Daniel M. Treisman United States 7 166 0.9× 124 0.9× 122 1.0× 87 0.9× 30 0.7× 9 315
Ewelina Stoczyńska-Fidelus Poland 14 331 1.7× 167 1.2× 211 1.7× 157 1.7× 33 0.8× 41 627
Nicolas Goffart Belgium 9 141 0.7× 100 0.7× 187 1.5× 63 0.7× 24 0.6× 12 345
В. Е. Парфенов Germany 7 200 1.1× 175 1.3× 163 1.3× 64 0.7× 23 0.6× 18 404
Guangrong Lu United States 10 215 1.1× 91 0.7× 195 1.5× 120 1.3× 34 0.8× 21 487

Countries citing papers authored by Michael Zorniak

Since Specialization
Citations

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

Fields of papers citing papers by Michael Zorniak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Zorniak

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

All Works

10 of 10 papers shown
1.
Zorniak, Michael, et al.. (2017). Yeast display biopanning identifies human antibodies targeting glioblastoma stem-like cells. Scientific Reports. 7(1). 15840–15840. 19 indexed citations
2.
Pointer, Kelli B., Paul A. Clark, Michael Zorniak, Bahauddeen M. Alrfaei, & John S. Kuo. (2014). Glioblastoma cancer stem cells: Biomarker and therapeutic advances. Neurochemistry International. 71. 1–7. 64 indexed citations
3.
Zorniak, Michael, Paul A. Clark, & John S. Kuo. (2014). Myelin-forming cell-specific cadherin-19 is a marker for minimally infiltrative glioblastoma stem-like cells. Journal of neurosurgery. 122(1). 69–77. 12 indexed citations
4.
Zorniak, Michael, Paul A. Clark, Heather Leeper, et al.. (2012). Differential Expression of 2′,3′-Cyclic-Nucleotide 3′-Phosphodiesterase and Neural Lineage Markers Correlate with Glioblastoma Xenograft Infiltration and Patient Survival. Clinical Cancer Research. 18(13). 3628–3636. 36 indexed citations
5.
Clark, Paul A., Mari Iida, Daniel M. Treisman, et al.. (2012). Activation of Multiple ERBB Family Receptors Mediates Glioblastoma Cancer Stem-like Cell Resistance to EGFR-Targeted Inhibition. Neoplasia. 14(5). 420–IN13. 110 indexed citations
6.
Ebben, Johnathan, Michael Zorniak, Paul A. Clark, & John S. Kuo. (2011). Introduction to Induced Pluripotent Stem Cells: Advancing the Potential for Personalized Medicine. World Neurosurgery. 76(3-4). 270–275. 31 indexed citations
7.
Zorniak, Michael, et al.. (2011). Contribution of Alanine-76 and Serine Phosphorylation inα-Synuclein Membrane Association and Aggregation in Yeasts. Parkinson s Disease. 2011. 1–12. 23 indexed citations
8.
Ebben, Johnathan, et al.. (2010). The cancer stem cell paradigm: a new understanding of tumor development and treatment. Expert Opinion on Therapeutic Targets. 14(6). 621–632. 70 indexed citations
9.
Zorniak, Michael. (2008). Evaluation of Mitochondrial Dysfunction and α-Synuclein Aggregation in Yeast Models of Parkinson’s Disease. 4(1). 42. 1 indexed citations
10.
Bueter, Chelsea L., et al.. (2006). Pathways of Skeletal Muscle Atrophy: HIV as a Model System?.

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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