Natalie Saini

19.8k total citations
29 papers, 1.2k citations indexed

About

Natalie Saini is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Natalie Saini has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Cancer Research and 5 papers in Plant Science. Recurrent topics in Natalie Saini's work include DNA Repair Mechanisms (19 papers), CRISPR and Genetic Engineering (6 papers) and Cancer Genomics and Diagnostics (6 papers). Natalie Saini is often cited by papers focused on DNA Repair Mechanisms (19 papers), CRISPR and Genetic Engineering (6 papers) and Cancer Genomics and Diagnostics (6 papers). Natalie Saini collaborates with scholars based in United States, Russia and Türkiye. Natalie Saini's co-authors include Dmitry A. Gordenin, Yu Zhang, Kirill S. Lobachev, Leszek J. Klimczak, Piotr A. Mieczkowski, Ewa P. Malc, Joan F. Sterling, David C. Fargo, Steven A. Roberts and Kin Chan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Natalie Saini

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Saini United States 18 926 284 147 143 121 29 1.2k
Edyta Marcon Canada 22 1.2k 1.3× 213 0.8× 228 1.6× 241 1.7× 207 1.7× 41 1.5k
Nehmé Saksouk France 17 1.7k 1.9× 381 1.3× 155 1.1× 241 1.7× 137 1.1× 25 2.2k
Antonio E. Vidal Spain 18 1.6k 1.7× 442 1.6× 155 1.1× 111 0.8× 322 2.7× 32 1.7k
Brigette L. Tippin United States 12 819 0.9× 194 0.7× 185 1.3× 69 0.5× 131 1.1× 18 1.0k
Victoria E. Brown United States 13 934 1.0× 186 0.7× 162 1.1× 90 0.6× 210 1.7× 14 1.3k
Chunxiao Xu China 15 964 1.0× 586 2.1× 72 0.5× 205 1.4× 120 1.0× 31 1.6k
Tanel Punga Sweden 18 729 0.8× 217 0.8× 204 1.4× 43 0.3× 156 1.3× 50 1.2k
Mathieu Durand Canada 19 1.4k 1.5× 260 0.9× 74 0.5× 56 0.4× 81 0.7× 26 1.6k
Felipe D. Araujo Canada 14 973 1.1× 145 0.5× 358 2.4× 74 0.5× 250 2.1× 14 1.1k
Mathieu Lajoie Canada 14 399 0.4× 139 0.5× 107 0.7× 46 0.3× 158 1.3× 24 712

Countries citing papers authored by Natalie Saini

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Saini. A scholar is included among the top collaborators of Natalie Saini 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 Natalie Saini. Natalie Saini 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.
Ruggiero, Alessandra, et al.. (2025). Methylglyoxal mutagenizes single-stranded DNA via Rev1-associated slippage and mispairing. Nucleic Acids Research. 53(14).
3.
McCollum, James M., et al.. (2024). Multiple DNA repair pathways prevent acetaldehyde-induced mutagenesis in yeast. Genetics. 229(4). 2 indexed citations
4.
McCollum, James M., et al.. (2024). Widespread mutagenesis and chromosomal instability shape somatic genomes in systemic sclerosis. Nature Communications. 15(1). 8889–8889. 1 indexed citations
5.
Klimczak, Leszek J., Joan F. Sterling, Adam Burkholder, et al.. (2023). Glycidamide-induced hypermutation in yeast single-stranded DNA reveals a ubiquitous clock-like mutational motif in humans. Nucleic Acids Research. 51(17). 9075–9100. 4 indexed citations
6.
Mieczkowski, Piotr A., et al.. (2022). Acetaldehyde makes a distinct mutation signature in single-stranded DNA. Nucleic Acids Research. 50(13). 7451–7464. 27 indexed citations
7.
Saini, Natalie, Leszek J. Klimczak, Brian N. Papas, et al.. (2021). UV-exposure, endogenous DNA damage, and DNA replication errors shape the spectra of genome changes in human skin. PLoS Genetics. 17(1). e1009302–e1009302. 35 indexed citations
8.
Klimczak, Leszek J., Thomas A. Randall, Natalie Saini, Jian‐Liang Li, & Dmitry A. Gordenin. (2020). Similarity between mutation spectra in hypermutated genomes of rubella virus and in SARS-CoV-2 genomes accumulated during the COVID-19 pandemic. PLoS ONE. 15(10). e0237689–e0237689. 41 indexed citations
9.
Saini, Natalie & Dmitry A. Gordenin. (2020). Hypermutation in single-stranded DNA. DNA repair. 91-92. 102868–102868. 30 indexed citations
10.
Perelygina, Ludmila, Suganthi Suppiah, Adebola Adebayo, et al.. (2019). Infectious vaccine-derived rubella viruses emerge, persist, and evolve in cutaneous granulomas of children with primary immunodeficiencies. PLoS Pathogens. 15(10). e1008080–e1008080. 50 indexed citations
11.
Degtyareva, Natalya, Natalie Saini, Joan F. Sterling, et al.. (2019). Mutational signatures of redox stress in yeast single-strand DNA and of aging in human mitochondrial DNA share a common feature. PLoS Biology. 17(5). e3000263–e3000263. 28 indexed citations
12.
Saini, Natalie & Dmitry A. Gordenin. (2018). Somatic mutation load and spectra: A record of DNA damage and repair in healthy human cells. Environmental and Molecular Mutagenesis. 59(8). 672–686. 16 indexed citations
13.
Saini, Natalie, Steven A. Roberts, Joan F. Sterling, et al.. (2017). APOBEC3B cytidine deaminase targets the non-transcribed strand of tRNA genes in yeast. DNA repair. 53. 4–14. 35 indexed citations
14.
Saini, Natalie, Steven A. Roberts, Leszek J. Klimczak, et al.. (2016). The Impact of Environmental and Endogenous Damage on Somatic Mutation Load in Human Skin Fibroblasts. PLoS Genetics. 12(10). e1006385–e1006385. 60 indexed citations
15.
Saini, Natalie. (2015). The Journey of DNA Repair. Trends in cancer. 1(4). 215–216. 2 indexed citations
16.
Chan, Kin, Steven A. Roberts, Leszek J. Klimczak, et al.. (2015). An APOBEC3A hypermutation signature is distinguishable from the signature of background mutagenesis by APOBEC3B in human cancers. Nature Genetics. 47(9). 1067–1072. 284 indexed citations
17.
Zhang, Yu, Natalie Saini, Ziwei Sheng, & Kirill S. Lobachev. (2013). Genome-Wide Screen Reveals Replication Pathway for Quasi-Palindrome Fragility Dependent on Homologous Recombination. PLoS Genetics. 9(12). e1003979–e1003979. 28 indexed citations
18.
Saini, Natalie, Sreejith Ramakrishnan, Rajula Elango, et al.. (2013). Migrating bubble during break-induced replication drives conservative DNA synthesis. Nature. 502(7471). 389–392. 257 indexed citations
19.
Zhang, Yu, A.A. Shishkin, Natalie Saini, et al.. (2012). Genome-wide Screen Identifies Pathways that Govern GAA/TTC Repeat Fragility and Expansions in Dividing and Nondividing Yeast Cells. Molecular Cell. 48(2). 254–265. 54 indexed citations
20.
Saini, Natalie, et al.. (2009). Diagnosis and molecular characterization of chicken anaemia virus.. Veterinary World. 2(4). 156–160. 3 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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