Michael Kuziora

2.3k total citations
31 papers, 1.5k citations indexed

About

Michael Kuziora is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Michael Kuziora has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Michael Kuziora's work include Cancer Genomics and Diagnostics (10 papers), Developmental Biology and Gene Regulation (10 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Michael Kuziora is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Developmental Biology and Gene Regulation (10 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Michael Kuziora collaborates with scholars based in United States, United Kingdom and Switzerland. Michael Kuziora's co-authors include William McGinnis, Nadine McGinnis, Brandon W. Higgs, Koustubh Ranade, Philip Z. Brohawn, Rajiv Raja, Cornelius T. Gross, Scott Dessain, Phillip A. Dennis and Ashok Gupta and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael Kuziora

30 papers receiving 1.5k 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 Kuziora United States 18 988 364 284 248 243 31 1.5k
Jonathan Terrett United Kingdom 14 835 0.8× 223 0.6× 280 1.0× 151 0.6× 284 1.2× 30 1.5k
Ondřej Gojiš United Kingdom 11 1.2k 1.2× 296 0.8× 279 1.0× 298 1.2× 104 0.4× 18 1.6k
Dávid Szüts Hungary 23 1.4k 1.4× 217 0.6× 428 1.5× 515 2.1× 106 0.4× 56 1.7k
Thomas J. Vasicek United States 14 1.9k 1.9× 381 1.0× 216 0.8× 162 0.7× 75 0.3× 17 2.3k
Thomas G. Boyer United States 32 2.2k 2.3× 588 1.6× 434 1.5× 302 1.2× 131 0.5× 58 3.3k
Marc A. Morgan United States 25 2.2k 2.3× 257 0.7× 170 0.6× 253 1.0× 88 0.4× 38 2.6k
Cecilia Ballaré Spain 23 1.5k 1.5× 597 1.6× 375 1.3× 203 0.8× 85 0.3× 44 2.0k
S. Fukushige Japan 13 912 0.9× 313 0.9× 403 1.4× 103 0.4× 86 0.4× 17 1.4k
Shaheynoor Talukder Canada 10 2.7k 2.7× 330 0.9× 128 0.5× 276 1.1× 99 0.4× 11 3.0k
Elizabeth T. Bartom United States 25 1.4k 1.5× 165 0.5× 218 0.8× 321 1.3× 112 0.5× 70 2.1k

Countries citing papers authored by Michael Kuziora

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kuziora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kuziora

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

All Works

20 of 20 papers shown
1.
2.
Si, Han, Michael Kuziora, Katie Quinn, et al.. (2020). A Blood-based Assay for Assessment of Tumor Mutational Burden in First-line Metastatic NSCLC Treatment: Results from the MYSTIC Study. Clinical Cancer Research. 27(6). 1631–1640. 86 indexed citations
3.
Miranda, Elena, Rebecca Dunmore, Doris M. Rassl, et al.. (2020). Inhibition of mast cells: a novel mechanism by which nintedanib may elicit anti-fibrotic effects. Thorax. 75(9). 754–763. 30 indexed citations
4.
Rizvi, Naiyer A., Byoung Chul Cho, Niels Reinmuth, et al.. (2019). OA04.07 Mutations Associated with Sensitivity or Resistance to Immunotherapy in mNSCLC: Analysis from the MYSTIC Trial. Journal of Thoracic Oncology. 14(10). S217–S217. 43 indexed citations
5.
Raja, Rajiv, Michael Kuziora, Philip Z. Brohawn, et al.. (2018). Early Reduction in ctDNA Predicts Survival in Patients with Lung and Bladder Cancer Treated with Durvalumab. Clinical Cancer Research. 24(24). 6212–6222. 167 indexed citations
6.
Steele, Keith E., Tze Heng Tan, R Korn, et al.. (2018). Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis. Journal for ImmunoTherapy of Cancer. 6(1). 20–20. 69 indexed citations
7.
Higgs, Brandon W., Chris Morehouse, Michael Kuziora, et al.. (2018). IFNγ mRNA signature (IFNγ sig), circulating tumor DNA (ctDNA), and survival in NSCLC or urothelial cancer (UC) treated with durvalumab (D).. Journal of Clinical Oncology. 36(5_suppl). 51–51.
8.
Brohawn, Philip Z., Brandon W. Higgs, Michael Kuziora, Judson M. Englert, & Koustubh Ranade. (2018). Early reduction in circulating tumor DNA (ctDNA) and survival in gastric cancer patients (pts) treated with durvalumab (D), tremelimumab (T), or durvalumab in combination with tremelimumab (D+T).. Journal of Clinical Oncology. 36(15_suppl). e15027–e15027. 3 indexed citations
9.
Guo, Xiang, Brandon W. Higgs, Anne‐Christine Bay‐Jensen, et al.. (2017). Blockade of GM-CSF pathway induced sustained suppression of myeloid and T cell activities in rheumatoid arthritis. Lara D. Veeken. 57(1). 175–184. 28 indexed citations
10.
Zhu, Wei, Michael Kuziora, Todd Creasy, et al.. (2015). BubbleTree: an intuitive visualization to elucidate tumoral aneuploidy and clonality using next generation sequencing data. Nucleic Acids Research. 44(4). e38–e38. 12 indexed citations
11.
Roberts, Mustimbo, Brandon W. Higgs, Philip Z. Brohawn, et al.. (2015). CD4+ T-Cell Profiles and Peripheral Blood Ex-Vivo Responses to T-Cell Directed Stimulation Delineate COPD Phenotypes. Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation. 2(4). 268–280. 12 indexed citations
12.
Kuziora, Michael, et al.. (1996). Homeodomain Interaction with the β Subunit of the General Transcription Factor TFIIE. Journal of Biological Chemistry. 271(35). 20993–20996. 19 indexed citations
13.
McGinnis, William & Michael Kuziora. (1994). The Molecular Architects of Body Design. Scientific American. 270(2). 58–66. 37 indexed citations
14.
15.
Kuziora, Michael & William McGinnis. (1990). Altering the regulatory targets of the Deformed protein in Drosophila embryos by substituting the Abdominal-B homeodomain. Mechanisms of Development. 33(1). 83–93. 41 indexed citations
16.
McGinnis, William, Thomas Jack, Robin Chadwick, et al.. (1990). Establishment and Maintenance of Position-Specific Expression of The Drosophila Homeotic Selector Gene Deformed. Advances in genetics. 27. 363–402. 24 indexed citations
17.
McGinnis, Nadine, Michael Kuziora, & William McGinnis. (1990). Human Hox-4.2 and Drosophila Deformed encode similar regulatory specificities in Drosophila embryos and larvae. Cell. 63(5). 969–976. 188 indexed citations
18.
Kuziora, Michael & William McGinnis. (1989). A homeodomain substitution changes the regulatory specificity of the Deformed protein in drosophila embryos. Cell. 59(3). 563–571. 134 indexed citations
19.
Kuziora, Michael & William McGinnis. (1988). Autoregulation of a drosophila homeotic selector gene. Cell. 55(3). 477–485. 210 indexed citations
20.
Chirala, Subrahmanyam S., et al.. (1987). Complementation of mutations and nucleotide sequence of FAS1 gene encoding beta subunit of yeast fatty acid synthase.. Journal of Biological Chemistry. 262(9). 4231–4240. 78 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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