Daniela Nachmanson

454 total citations
14 papers, 227 citations indexed

About

Daniela Nachmanson is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Daniela Nachmanson has authored 14 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Daniela Nachmanson's work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers) and CRISPR and Genetic Engineering (3 papers). Daniela Nachmanson is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers) and CRISPR and Genetic Engineering (3 papers). Daniela Nachmanson collaborates with scholars based in United States, Sweden and South Korea. Daniela Nachmanson's co-authors include Rosa Ana Risques, Jesse J. Salk, Mary J. Emond, Scott R. Kennedy, Maria Tretiakova, Cigdem Ussakli, Thierry Soussi, Lawrence A. Loeb, Adriaan Vanderstichele and Shenyi Lian and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Genome Research.

In The Last Decade

Daniela Nachmanson

14 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Nachmanson United States 9 138 110 35 34 29 14 227
Sharoni Jacobs Australia 6 163 1.2× 93 0.8× 20 0.6× 108 3.2× 41 1.4× 7 251
Shiyue Mei China 11 235 1.7× 124 1.1× 35 1.0× 80 2.4× 10 0.3× 40 385
Heather Eckart United States 8 291 2.1× 99 0.9× 54 1.5× 37 1.1× 41 1.4× 11 387
Maxim Pilyugin Switzerland 10 351 2.5× 96 0.9× 68 1.9× 67 2.0× 12 0.4× 16 413
Silvia Moleri Italy 8 180 1.3× 34 0.3× 57 1.6× 41 1.2× 23 0.8× 9 308
Rachel Kalifa Israel 8 224 1.6× 47 0.4× 104 3.0× 80 2.4× 35 1.2× 12 343
Gabrijela Dumbović United States 9 247 1.8× 142 1.3× 13 0.4× 42 1.2× 7 0.2× 17 308
Mariem Ben Rekaya Tunisia 12 195 1.4× 84 0.8× 20 0.6× 102 3.0× 5 0.2× 25 276
Mehdi Pirouz United States 12 418 3.0× 110 1.0× 13 0.4× 66 1.9× 28 1.0× 22 477
Ahlem Amouri Tunisia 9 169 1.2× 51 0.5× 15 0.4× 127 3.7× 35 1.2× 27 257

Countries citing papers authored by Daniela Nachmanson

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Nachmanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Nachmanson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Nachmanson. A scholar is included among the top collaborators of Daniela Nachmanson 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 Daniela Nachmanson. Daniela Nachmanson 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.
Ashford, A. E., Daniela Nachmanson, John W. Wills, et al.. (2025). Alignment between Duplex Sequencing and transgenic rodent mutation assay data in the assessment of in vivo NDMA-induced mutagenesis. Archives of Toxicology. 99(10). 4227–4242. 1 indexed citations
2.
Allevato, Michael M., Keiichi Koshizuka, Daniela Nachmanson, et al.. (2024). A genome-wide CRISPR screen reveals that antagonism of glutamine metabolism sensitizes head and neck squamous cell carcinoma to ferroptotic cell death. Cancer Letters. 598. 217089–217089. 8 indexed citations
3.
Axelsson, Jonatan, Matthew J. Meier, Devon M. Fitzgerald, et al.. (2024). Frequency and spectrum of mutations in human sperm measured using duplex sequencing correlate with trio-based de novo mutation analyses. Scientific Reports. 14(1). 23134–23134. 2 indexed citations
4.
Smith‐Roe, Stephanie L., Cheryl A. Hobbs, J. Todd Auman, et al.. (2023). Adopting duplex sequencing technology for genetic toxicity testing: A proof-of-concept mutagenesis experiment with N-ethyl-N-nitrosourea (ENU)-exposed rats. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 891. 503669–503669. 10 indexed citations
5.
Nachmanson, Daniela, Adam Officer, Hidetoshi Mori, et al.. (2022). The breast pre-cancer atlas illustrates the molecular and micro-environmental diversity of ductal carcinoma in situ. npj Breast Cancer. 8(1). 6–6. 9 indexed citations
6.
Arang, Nadia, Simone Lubrano, Damiano Cosimo Rigiracciolo, et al.. (2022). Whole-genome CRISPR screening identifies PI3K/AKT as a downstream component of the oncogenic GNAQ–focal adhesion kinase signaling circuitry. Journal of Biological Chemistry. 299(2). 102866–102866. 10 indexed citations
7.
Nachmanson, Daniela, Meghana S. Pagadala, Thomas J. O’Keefe, et al.. (2022). Accurate genome-wide genotyping from archival tissue to explore the contribution of common genetic variants to pre-cancer outcomes. Journal of Translational Medicine. 20(1). 623–623. 2 indexed citations
8.
Choi, Yoon Young, Su‐Jin Shin, Jae Eun Lee, et al.. (2021). Prevalence of cancer susceptibility variants in patients with multiple Lynch syndrome related cancers. Scientific Reports. 11(1). 14807–14807. 7 indexed citations
9.
Nachmanson, Daniela, Adam Officer, Thomas J. O’Keefe, et al.. (2020). Mutational profiling of micro-dissected pre-malignant lesions from archived specimens. BMC Medical Genomics. 13(1). 173–173. 4 indexed citations
10.
Salk, Jesse J., Charles C. Valentine, Lindsey N. Williams, et al.. (2019). Ultra-Sensitive TP53 Sequencing for Cancer Detection Reveals Progressive Clonal Selection in Normal Tissue over a Century of Human Lifespan. Cell Reports. 28(1). 132–144.e3. 66 indexed citations
11.
Lian, Shenyi, Yuezheng Zhang, Jeanne Fredrickson, et al.. (2019). Characterization of TP53 mutations in Pap test DNA of women with and without serous ovarian carcinoma. Gynecologic Oncology. 156(2). 407–414. 16 indexed citations
12.
Nachmanson, Daniela, Mary J. Emond, Cigdem Ussakli, et al.. (2018). Mitochondrial DNA Mutations are Associated with Ulcerative Colitis Preneoplasia but Tend to be Negatively Selected in Cancer. Molecular Cancer Research. 17(2). 488–498. 28 indexed citations
13.
Nachmanson, Daniela, Shenyi Lian, Elizabeth Schmidt, et al.. (2018). Targeted genome fragmentation with CRISPR/Cas9 enables fast and efficient enrichment of small genomic regions and ultra-accurate sequencing with low DNA input (CRISPR-DS). Genome Research. 28(10). 1589–1599. 37 indexed citations
14.
Jones, Brian W., Jennifer D. Deem, Thomas J. Younts, et al.. (2016). Targeted deletion of AKAP7 in dentate granule cells impairs spatial discrimination. eLife. 5. 27 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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