Gary Krzyzanowski

458 total citations
14 papers, 368 citations indexed

About

Gary Krzyzanowski is a scholar working on Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gary Krzyzanowski has authored 14 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gary Krzyzanowski's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Renal and related cancers (4 papers). Gary Krzyzanowski is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Renal and related cancers (4 papers). Gary Krzyzanowski collaborates with scholars based in United States. Gary Krzyzanowski's co-authors include M. Rohan Fernando, Wayne L. Ryan, Chao Jiang, David W. A. Bourne, Sharon A Norton, Chao Jiang, Jodi R. Alt, Dinesh S. Chandel, Sheila Norton and Thomas L. Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Gary Krzyzanowski

13 papers receiving 361 citations

Peers

Gary Krzyzanowski
Gary Krzyzanowski
Citations per year, relative to Gary Krzyzanowski Gary Krzyzanowski (= 1×) peers T. Skvortsova

Countries citing papers authored by Gary Krzyzanowski

Since Specialization
Citations

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

Fields of papers citing papers by Gary Krzyzanowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Krzyzanowski

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

All Works

14 of 14 papers shown
1.
Krzyzanowski, Gary, et al.. (2025). EV DNA from pancreatic cancer patient-derived cells harbors molecular, coding, non-coding signatures and mutational hotspots. Communications Biology. 8(1). 368–368. 1 indexed citations
2.
Chandel, Dinesh S., et al.. (2025). Machine Learning-Based Ensemble Feature Selection and Nested Cross-Validation for miRNA Biomarker Discovery in Usher Syndrome. Bioengineering. 12(5). 497–497. 4 indexed citations
3.
Chandel, Dinesh S., et al.. (2025). A Hybrid Sequential Feature Selection Approach for Identifying New Potential mRNA Biomarkers for Usher Syndrome Using Machine Learning. Biomolecules. 15(7). 963–963. 1 indexed citations
6.
Chandel, Dinesh S., et al.. (2024). Genotype Characterization and MiRNA Expression Profiling in Usher Syndrome Cell Lines. International Journal of Molecular Sciences. 25(18). 9993–9993. 3 indexed citations
7.
Chandel, Dinesh S., et al.. (2024). Preanalytical considerations for clinical assays of circulating human miRNA-451a, miRNA-423-5p and miRNA-199a-3p for diagnostic purposes. PLoS ONE. 19(5). e0303598–e0303598. 1 indexed citations
8.
Jiang, Chao, et al.. (2024). A Network Analysis Approach to Detect and Differentiate Usher Syndrome Types Using miRNA Expression Profiles: A Pilot Study. SHILAP Revista de lepidopterología. 4(4). 2271–2286. 3 indexed citations
9.
Fernando, M. Rohan, et al.. (2018). A novel approach to stabilize fetal cell-free DNA fraction in maternal blood samples for extended period of time. PLoS ONE. 13(12). e0208508–e0208508. 6 indexed citations
10.
Fernando, M. Rohan, Chao Jiang, Gary Krzyzanowski, & Wayne L. Ryan. (2018). Analysis of human blood plasma cell-free DNA fragment size distribution using EvaGreen chemistry based droplet digital PCR assays. Clinica Chimica Acta. 483. 39–47. 24 indexed citations
11.
Fernando, M. Rohan, Chao Jiang, Gary Krzyzanowski, & Wayne L. Ryan. (2017). New evidence that a large proportion of human blood plasma cell-free DNA is localized in exosomes. PLoS ONE. 12(8). e0183915–e0183915. 218 indexed citations
12.
Norton, Sheila, et al.. (2014). Stabilization of Cellular RNA in Blood During Storage at Room Temperature: A Comparison of Cell-Free RNA BCT® with K3EDTA Tubes. Molecular Diagnosis & Therapy. 18(6). 647–653. 14 indexed citations
13.
Krzyzanowski, Gary, et al.. (2012). Carbon-13 nuclear magnetic resonance analysis of formaldehyde free preservatives. Acta Histochemica. 115(5). 481–486. 17 indexed citations
14.

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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