Chance M. Nowak

480 total citations
12 papers, 274 citations indexed

About

Chance M. Nowak is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Chance M. Nowak has authored 12 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Biophysics. Recurrent topics in Chance M. Nowak's work include CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). Chance M. Nowak is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). Chance M. Nowak collaborates with scholars based in United States. Chance M. Nowak's co-authors include Leonidas Bleris, Yi Li, Khai T. Nguyen, Yaning Liu, Tingting Zhang, Zhenpeng Qin, Haihang Ye, Raymond P. Welch, Jeremiah J. Gassensmith and Madushani Dharmarwardana and has published in prestigious journals such as Nucleic Acids Research, Small and Science Advances.

In The Last Decade

Chance M. Nowak

12 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chance M. Nowak United States 10 163 64 38 31 23 12 274
Matthew P Beaudet United States 4 238 1.5× 61 1.0× 17 0.4× 25 0.8× 43 1.9× 6 320
Mengmeng Liu China 12 290 1.8× 124 1.9× 21 0.6× 44 1.4× 16 0.7× 26 403
Paul S. Kwon United States 6 295 1.8× 128 2.0× 11 0.3× 18 0.6× 42 1.8× 6 380
Amir Abdolahzadeh Canada 6 494 3.0× 80 1.3× 16 0.4× 25 0.8× 31 1.3× 9 544
Jonas Eriksson Sweden 12 270 1.7× 37 0.6× 8 0.2× 29 0.9× 34 1.5× 22 367
Eric A. Hunt United States 10 539 3.3× 136 2.1× 13 0.3× 43 1.4× 14 0.6× 14 577
Mehdi Zeinoddini Iran 10 259 1.6× 104 1.6× 6 0.2× 20 0.6× 11 0.5× 61 393
Е. И. Шрамова Russia 15 264 1.6× 180 2.8× 14 0.4× 53 1.7× 35 1.5× 36 454
James R. Rybarski United States 7 505 3.1× 39 0.6× 11 0.3× 20 0.6× 12 0.5× 13 537
Margherita Marchetti Netherlands 8 170 1.0× 43 0.7× 13 0.3× 7 0.2× 55 2.4× 14 298

Countries citing papers authored by Chance M. Nowak

Since Specialization
Citations

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

Fields of papers citing papers by Chance M. Nowak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chance M. Nowak. 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 Chance M. Nowak. The network helps show where Chance M. Nowak may publish in the future.

Co-authorship network of co-authors of Chance M. Nowak

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

All Works

12 of 12 papers shown
1.
Nowak, Chance M., Jessica J. Kandel, Theodore W. Laetsch, et al.. (2023). Non-viral nitric oxide-based gene therapy improves perfusion and liposomal doxorubicin sonopermeation in neuroblastoma models. Theranostics. 13(10). 3402–3418. 11 indexed citations
2.
Nowak, Chance M., et al.. (2023). Impact of variability in cell cycle periodicity on cell population dynamics. PLoS Computational Biology. 19(6). e1011080–e1011080. 4 indexed citations
3.
Ye, Haihang, Chance M. Nowak, Yaning Liu, et al.. (2022). Plasmonic LAMP: Improving the Detection Specificity and Sensitivity for SARS‐CoV‐2 by Plasmonic Sensing of Isothermally Amplified Nucleic Acids. Small. 18(12). e2107832–e2107832. 35 indexed citations
4.
Li, Yi, et al.. (2022). Genetic physical unclonable functions in human cells. Science Advances. 8(18). eabm4106–eabm4106. 9 indexed citations
5.
Li, Yi, et al.. (2021). Cell morphology-based machine learning models for human cell state classification. npj Systems Biology and Applications. 7(1). 40 indexed citations
6.
Nowak, Chance M., et al.. (2020). Robust Filtering and Noise Suppression in Intragenic miRNA-Mediated Host Regulation. iScience. 23(10). 101595–101595. 5 indexed citations
7.
Nguyen, Khai T., et al.. (2020). Uncoupling gene expression noise along the central dogma using genome engineered human cell lines. Nucleic Acids Research. 48(16). 9406–9413. 21 indexed citations
8.
Dharmarwardana, Madushani, André F. Martins, Zhuo Chen, et al.. (2018). Nitroxyl Modified Tobacco Mosaic Virus as a Metal-Free High-Relaxivity MRI and EPR Active Superoxide Sensor. Molecular Pharmaceutics. 15(8). 2973–2983. 49 indexed citations
9.
Lee, Hamilton, Candace Benjamin, Chance M. Nowak, et al.. (2018). Regulating the Uptake of Viral Nanoparticles in Macrophage and Cancer Cells via a pH Switch. Molecular Pharmaceutics. 15(8). 2984–2990. 11 indexed citations
10.
Li, Yi, et al.. (2018). CRISPR-Based Editing Reveals Edge-Specific Effects in Biological Networks. The CRISPR Journal. 1(4). 286–293. 11 indexed citations
11.
Nowak, Chance M., et al.. (2016). Guide RNA engineering for versatile Cas9 functionality. Nucleic Acids Research. 44(20). gkw908–gkw908. 67 indexed citations
12.

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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2026