Jason H. Bielas

13.9k total citations · 1 hit paper
49 papers, 3.2k citations indexed

About

Jason H. Bielas is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jason H. Bielas has authored 49 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Jason H. Bielas's work include DNA Repair Mechanisms (19 papers), Mitochondrial Function and Pathology (14 papers) and Cancer Genomics and Diagnostics (11 papers). Jason H. Bielas is often cited by papers focused on DNA Repair Mechanisms (19 papers), Mitochondrial Function and Pathology (14 papers) and Cancer Genomics and Diagnostics (11 papers). Jason H. Bielas collaborates with scholars based in United States, Canada and South Africa. Jason H. Bielas's co-authors include Lawrence A. Loeb, Marc Vermulst, Tomas A. Prolla, Peter S. Rabinovitch, Gregory C. Kujoth, John A. Heddle, Nolan G. Ericson, Lawrence D. True, Jamie Guenthoer and Jonathan Wanagat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jason H. Bielas

48 papers receiving 3.2k citations

Hit Papers

Spatial transcriptomics at subspot resolution with BayesS... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason H. Bielas United States 27 2.5k 860 444 326 294 49 3.2k
Andrew L. Markhard United States 11 4.1k 1.7× 399 0.5× 316 0.7× 588 1.8× 135 0.5× 15 5.4k
Haidi Yang China 13 2.0k 0.8× 547 0.6× 372 0.8× 556 1.7× 82 0.3× 32 3.5k
Brian J. Altman United States 23 3.0k 1.2× 2.2k 2.5× 700 1.6× 523 1.6× 60 0.2× 44 4.6k
Isabel Domínguez United States 31 2.9k 1.2× 546 0.6× 535 1.2× 344 1.1× 55 0.2× 51 3.7k
Youfeng Yang United States 30 2.7k 1.1× 1.6k 1.9× 318 0.7× 202 0.6× 68 0.2× 64 3.8k
Narendra Wajapeyee United States 31 2.7k 1.1× 941 1.1× 895 2.0× 553 1.7× 39 0.1× 95 3.7k
Aaron M. Hosios United States 16 2.2k 0.9× 1.5k 1.7× 331 0.7× 180 0.6× 111 0.4× 26 2.9k
Zachary E. Stine United States 16 3.1k 1.3× 2.5k 2.9× 791 1.8× 501 1.5× 48 0.2× 23 4.6k
In Kyoung Lim South Korea 29 1.8k 0.7× 362 0.4× 311 0.7× 171 0.5× 62 0.2× 93 2.4k
Olga Chernova United States 27 2.2k 0.9× 565 0.7× 1.1k 2.5× 546 1.7× 31 0.1× 42 3.7k

Countries citing papers authored by Jason H. Bielas

Since Specialization
Citations

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

Fields of papers citing papers by Jason H. Bielas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason H. Bielas. 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 Jason H. Bielas. The network helps show where Jason H. Bielas may publish in the future.

Co-authorship network of co-authors of Jason H. Bielas

This figure shows the co-authorship network connecting the top 25 collaborators of Jason H. Bielas. A scholar is included among the top collaborators of Jason H. Bielas 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 Jason H. Bielas. Jason H. Bielas 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.
Vermulst, Marc, Nigel Clegg, Jennifer Madeoy, et al.. (2024). MADDD-seq, a novel massively parallel sequencing tool for simultaneous detection of DNA damage and mutations. Nucleic Acids Research. 52(16). e76–e76.
2.
Voillet, Valentin, Trisha R. Berger, Kelly M. McKenna, et al.. (2022). An In Vivo Model of Human Macrophages in Metastatic Melanoma. The Journal of Immunology. 209(3). 606–620. 7 indexed citations
3.
Zhao, Edward, Matthew R. Stone, Xing Ren, et al.. (2021). Spatial transcriptomics at subspot resolution with BayesSpace. Nature Biotechnology. 39(11). 1375–1384. 448 indexed citations breakdown →
4.
Peng, Tao, Khamsone Phasouk, Alexis Klock, et al.. (2021). Distinct populations of antigen specific tissue resident CD8 T cells in human cervix mucosa. JCI Insight. 6(15). 24 indexed citations
5.
Soltys, Daniela T., Carolina Parga Martins Pereira, José M. Farfel, et al.. (2018). Lower mitochondrial DNA content but not increased mutagenesis associates with decreased base excision repair activity in brains of AD subjects. Neurobiology of Aging. 73. 161–170. 31 indexed citations
7.
Bianchi‐Frias, Daniella, Ryan Basom, Jeffrey J. Delrow, et al.. (2016). Cells Comprising the Prostate Cancer Microenvironment Lack Recurrent Clonal Somatic Genomic Aberrations. Molecular Cancer Research. 14(4). 374–384. 29 indexed citations
8.
Gregory, Mark, Jessica A. Bertout, Nolan G. Ericson, et al.. (2015). Targeted single molecule mutation detection with massively parallel sequencing. Nucleic Acids Research. 44(3). e22–e22. 57 indexed citations
9.
Zhang, Xiaotun, Ilsa M. Coleman, Nolan G. Ericson, et al.. (2015). Epithelial mesenchymal-like transition occurs in a subset of cells in castration resistant prostate cancer bone metastases. Clinical & Experimental Metastasis. 33(3). 239–248. 27 indexed citations
10.
Hu, Jie, Jason W. Locasale, Jason H. Bielas, et al.. (2013). Heterogeneity of tumor-induced gene expression changes in the human metabolic network. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
11.
Ericson, Nolan G., Mariola Kulawiec, Marc Vermulst, et al.. (2012). Decreased Mitochondrial DNA Mutagenesis in Human Colorectal Cancer. PLoS Genetics. 8(6). e1002689–e1002689. 64 indexed citations
12.
Wright, Jocelyn H., Kristina L. Modjeski, Jason H. Bielas, et al.. (2011). A random mutation capture assay to detect genomic point mutations in mouse tissue. Nucleic Acids Research. 39(11). e73–e73. 13 indexed citations
13.
Stoll, Elizabeth A., Andrei M. Mikheev, Ian R. Sweet, et al.. (2011). Aging Neural Progenitor Cells Have Decreased Mitochondrial Content and Lower Oxidative Metabolism. Journal of Biological Chemistry. 286(44). 38592–38601. 64 indexed citations
14.
Kulawiec, Mariola, Jesse J. Salk, Nolan G. Ericson, Jonathan Wanagat, & Jason H. Bielas. (2010). Generation, function, and prognostic utility of somatic mitochondrial DNA mutations in cancer. Environmental and Molecular Mutagenesis. 51(5). 427–439. 18 indexed citations
15.
Bielas, Jason H., Ranga N. Venkatesan, & Lawrence A. Loeb. (2007). LOH-proficient embryonic stem cells: a model of cancer progenitor cells?. Trends in Genetics. 23(4). 154–157. 10 indexed citations
16.
Vermulst, Marc, Jason H. Bielas, Gregory C. Kujoth, et al.. (2007). Mitochondrial point mutations do not limit the natural lifespan of mice. Nature Genetics. 39(4). 540–543. 319 indexed citations
17.
Bielas, Jason H.. (2006). Non-transcribed strand repair revealed in quiescent cells. Mutagenesis. 21(1). 49–53. 17 indexed citations
18.
Heddle, John A. & Jason H. Bielas. (2005). Unifying concept of DNA repair: The polymerase scanning hypothesis. Environmental and Molecular Mutagenesis. 45(2-3). 143–149. 5 indexed citations
19.
Bielas, Jason H. & Lawrence A. Loeb. (2005). Quantification of random genomic mutations. Nature Methods. 2(4). 285–290. 80 indexed citations
20.
Bielas, Jason H.. (2002). A more efficient Big Blue® protocol improves transgene rescue and accuracy in a adduct and mutation measurement. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 518(2). 107–112. 4 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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