Viktor A. Adalsteinsson

7.0k total citations
53 papers, 724 citations indexed

About

Viktor A. Adalsteinsson is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Viktor A. Adalsteinsson has authored 53 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cancer Research, 28 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Viktor A. Adalsteinsson's work include Cancer Genomics and Diagnostics (44 papers), Molecular Biology Techniques and Applications (9 papers) and Single-cell and spatial transcriptomics (7 papers). Viktor A. Adalsteinsson is often cited by papers focused on Cancer Genomics and Diagnostics (44 papers), Molecular Biology Techniques and Applications (9 papers) and Single-cell and spatial transcriptomics (7 papers). Viktor A. Adalsteinsson collaborates with scholars based in United States, Italy and Germany. Viktor A. Adalsteinsson's co-authors include J. Christopher Love, Matthew Meyerson, Joshua M. Francis, Keith L. Ligon, Joonil Jung, Cécile L. Maire, Cheng‐Zhong Zhang, Veronica E. Manzo, Brendan Blumenstiel and Azra H. Ligon and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Viktor A. Adalsteinsson

47 papers receiving 713 citations

Peers

Viktor A. Adalsteinsson
Dimitri Livitz United States
Shannon Donnola United States
Samuel Berman United States
Christina Tekle United States
Oksana Zavidij United States
Ai‐Hong Ma United States
Dimitri Livitz United States
Viktor A. Adalsteinsson
Citations per year, relative to Viktor A. Adalsteinsson Viktor A. Adalsteinsson (= 1×) peers Dimitri Livitz

Countries citing papers authored by Viktor A. Adalsteinsson

Since Specialization
Citations

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

Fields of papers citing papers by Viktor A. Adalsteinsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor A. Adalsteinsson. 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 Viktor A. Adalsteinsson. The network helps show where Viktor A. Adalsteinsson may publish in the future.

Co-authorship network of co-authors of Viktor A. Adalsteinsson

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor A. Adalsteinsson. A scholar is included among the top collaborators of Viktor A. Adalsteinsson 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 Viktor A. Adalsteinsson. Viktor A. Adalsteinsson 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.
Liu, Ruolin, Heather A. Parsons, Elizabeth H. Stover, et al.. (2025). DirectHRD enables sensitive scar-based classification of homologous recombination deficiency. Nucleic Acids Research. 53(8). 2 indexed citations
2.
Bryan, Michael, Adam S. Fisch, Zoe Guan, et al.. (2025). Circulating tumor human papillomavirus DNA whole genome sequencing enables human papillomavirus–associated oropharynx cancer early detection. JNCI Journal of the National Cancer Institute. 118(1). 58–67.
3.
Liu, Ruolin, Farzaneh Darbeheshti, Jin H. Bae, et al.. (2025). Methyl-CODEC enables simultaneous methylation and duplex sequencing. Nucleic Acids Research. 53(10).
4.
Liu, Yaping, Sarah C. Reed, Christopher Lo, et al.. (2024). FinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA. Nature Communications. 15(1). 2790–2790. 12 indexed citations
5.
Tinoco, Gabriel, Junko Tsuji, Dwight H. Owen, et al.. (2024). Assay Validation of Cell-Free DNA Shallow Whole-Genome Sequencing to Determine Tumor Fraction in Advanced Cancers. Journal of Molecular Diagnostics. 26(5). 413–422. 10 indexed citations
6.
Merryman, Reid W., Justin Rhoades, Kan Xiong, et al.. (2024). Comparison of whole‐genome and immunoglobulin‐based circulating tumor DNA assays in diffuse large B‐cell lymphoma. HemaSphere. 8(4). e47–e47. 1 indexed citations
7.
Tabrizi, Shervin, et al.. (2024). Modulating cell-free DNA biology as the next frontier in liquid biopsies. Trends in Cell Biology. 35(6). 459–469. 3 indexed citations
8.
Tabrizi, Shervin, Kan Xiong, Timothy Blewett, et al.. (2023). Abstract 3371: A DNA-binding priming agent protects cell-free DNA and improves the sensitivity of liquid biopsies. Cancer Research. 83(7_Supplement). 3371–3371. 1 indexed citations
9.
Gydush, Gregory, Jin H. Bae, Timothy Blewett, et al.. (2022). Massively parallel enrichment of low-frequency alleles enables duplex sequencing at low depth. Nature Biomedical Engineering. 6(3). 257–266. 46 indexed citations
10.
Xiong, Kan, Justin Rhoades, Timothy Blewett, et al.. (2021). Duplex-Repair enables highly accurate sequencing, despite DNA damage. Nucleic Acids Research. 50(1). e1–e1. 10 indexed citations
11.
Weber, Zachary, Katharine A. Collier, Juliet Forman, et al.. (2021). Modeling clonal structure over narrow time frames via circulating tumor DNA in metastatic breast cancer. Genome Medicine. 13(1). 89–89. 13 indexed citations
12.
Ghobrial, Irene M., Alfred L. Garfall, Nina Shah, et al.. (2019). Immunotherapy in Multiple Myeloma: Accelerating on the Path to the Patient. Clinical Lymphoma Myeloma & Leukemia. 19(6). 332–344. 13 indexed citations
13.
Zhang, Yiqing, Elizabeth J. Adams, Bhuvaneswari Ramaswamy, et al.. (2019). Aggressive Subsets of Metastatic Triple Negative Breast Cancer. Clinical Breast Cancer. 20(1). e20–e26. 6 indexed citations
14.
Francis, Joshua M., Cheng‐Zhong Zhang, Cécile L. Maire, et al.. (2014). EGFR Variant Heterogeneity in Glioblastoma Resolved through Single-Nucleus Sequencing. Cancer Discovery. 4(8). 956–971. 211 indexed citations
15.
Yao, Xiaosai, Christina Williamson, Richard S. D’Agostino, et al.. (2014). Tumor cells are dislodged into the pulmonary vein during lobectomy. DSpace@MIT (Massachusetts Institute of Technology). 9 indexed citations
16.
Francis, Joshua M., Cheng‐Zhong Zhang, Cécile L. Maire, et al.. (2014). EGFR Variant Heterogeneity in Glioblastoma Resolved through Single-Nucleus Sequencing. DSpace@MIT (Massachusetts Institute of Technology). 12 indexed citations
17.
Adalsteinsson, Viktor A. & J. Christopher Love. (2014). Toward engineered processes for sequencing-based analysis of single circulating tumor cells. Current Opinion in Chemical Engineering. 4. 97–104. 8 indexed citations
18.
Yao, Xiaosai, Christina Williamson, Viktor A. Adalsteinsson, et al.. (2014). Tumor cells are dislodged into the pulmonary vein during lobectomy. Journal of Thoracic and Cardiovascular Surgery. 148(6). 3224–3231.e5. 21 indexed citations
19.
Adalsteinsson, Viktor A., Naren Tallapragada, Narmin Tahirova, J. Christopher Love, & Aviv Regev. (2014). Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer. DSpace@MIT (Massachusetts Institute of Technology).
20.
Adalsteinsson, Viktor A., Narmin Tahirova, Naren Tallapragada, et al.. (2013). Single cells from human primary colorectal tumors exhibit polyfunctional heterogeneity in secretions of ELR plus CXC chemokines. ARCA (Università Ca' Foscari Venezia). 16 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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