Oleg Mayba

2.9k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Oleg Mayba is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Oleg Mayba has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Oleg Mayba's work include Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (3 papers) and Molecular Biology Techniques and Applications (2 papers). Oleg Mayba is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (3 papers) and Molecular Biology Techniques and Applications (2 papers). Oleg Mayba collaborates with scholars based in United States, France and Singapore. Oleg Mayba's co-authors include Terence P. Speed, Anne Pfeiffer, Hui Shi, Yu Zhang, Peter H. Quail, James M. Tepperman, Jen-Chywan Wang, Colin Watanabe, Florian Gnad and Taiyi Kuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Oleg Mayba

18 papers receiving 1.4k citations

Hit Papers

Single-cell dissection of cellular components and interac... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oleg Mayba United States 12 868 319 302 249 192 18 1.4k
Jingde Zhu China 22 1.5k 1.7× 231 0.7× 557 1.8× 211 0.8× 210 1.1× 41 2.1k
Shelley Force Aldred United States 12 824 0.9× 100 0.3× 322 1.1× 182 0.7× 205 1.1× 24 1.4k
Xiaolong Fan China 26 979 1.1× 101 0.3× 312 1.0× 451 1.8× 401 2.1× 72 1.8k
Haisheng Zhou China 15 522 0.6× 128 0.4× 199 0.7× 165 0.7× 108 0.6× 31 964
Sharon Mudie United Kingdom 15 544 0.6× 343 1.1× 469 1.6× 103 0.4× 234 1.2× 17 1.2k
Kenta Masuda Japan 25 896 1.0× 83 0.3× 496 1.6× 278 1.1× 236 1.2× 77 1.7k
Guolin Zhou United States 19 830 1.0× 119 0.4× 155 0.5× 163 0.7× 104 0.5× 34 1.5k
David I. Hoar Canada 21 647 0.7× 151 0.5× 193 0.6× 116 0.5× 336 1.8× 57 1.3k
Joseph T. Tseng Taiwan 26 1.0k 1.2× 75 0.2× 277 0.9× 291 1.2× 108 0.6× 52 1.6k
J. Saadi Imam United States 12 1.4k 1.6× 133 0.4× 332 1.1× 77 0.3× 204 1.1× 15 1.9k

Countries citing papers authored by Oleg Mayba

Since Specialization
Citations

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

Fields of papers citing papers by Oleg Mayba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleg Mayba

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

All Works

18 of 18 papers shown
1.
Younginger, Brett S., Oleg Mayba, Jens Reeder, et al.. (2023). Enrichment of oral-derived bacteria in inflamed colorectal tumors and distinct associations of Fusobacterium in the mesenchymal subtype. Cell Reports Medicine. 4(2). 100920–100920. 28 indexed citations
2.
Desbois, Mélanie, Shan Lu, Yinghui Guan, et al.. (2021). Single-cell dissection of cellular components and interactions shaping the tumor immune phenotypes in ovarian cancer. Cancer Cell. 39(7). 928–944.e6. 206 indexed citations breakdown →
3.
Núñez, Víctor, et al.. (2021). Tissue cryopreservation using the 3M™ Novec™ 7000 freezing coolant offers a comparable and safe alternative to customary coolants. Journal of Histotechnology. 45(2). 85–91. 1 indexed citations
4.
Forrest, William F., Bruno Alicke, Oleg Mayba, et al.. (2020). Generalized Additive Mixed Modeling of Longitudinal Tumor Growth Reduces Bias and Improves Decision Making in Translational Oncology. Cancer Research. 80(22). 5089–5097. 11 indexed citations
5.
Cao, Yi, Melicent C. Peck, Oleg Mayba, et al.. (2020). Risk stratification biomarkers for Staphylococcus aureus bacteraemia. Clinical & Translational Immunology. 9(2). e1110–e1110. 9 indexed citations
6.
Cao, Yi, Kyu Hong, Oleg Mayba, et al.. (2018). A Prognostic Model of Persistent Bacteremia and Mortality in Complicated Staphylococcus aureus Bloodstream Infection. Clinical Infectious Diseases. 68(9). 1502–1511. 41 indexed citations
7.
Lim, Yoong Wearn, Haiyin Chen‐Harris, Oleg Mayba, et al.. (2018). Germline genetic polymorphisms influence tumor gene expression and immune cell infiltration. Proceedings of the National Academy of Sciences. 115(50). E11701–E11710. 73 indexed citations
8.
Guan, Yinghui, Oleg Mayba, Thomas Sandmann, et al.. (2017). High-Throughput and Sensitive Quantification of Circulating Tumor DNA by Microfluidic-Based Multiplex PCR and Next-Generation Sequencing. Journal of Molecular Diagnostics. 19(6). 921–932. 18 indexed citations
9.
McCleland, Mark L., Kathryn Mesh, Edward Lorenzana, et al.. (2016). CCAT1 is an enhancer-templated RNA that predicts BET sensitivity in colorectal cancer. Journal of Clinical Investigation. 126(2). 639–652. 182 indexed citations
10.
Jhunjhunwala, Suchit, Zhaoshi Jiang, Eric Stawiski, et al.. (2014). Diverse modes of genomic alteration in hepatocellular carcinoma. Genome biology. 15(8). 436–436. 97 indexed citations
11.
Jhunjhunwala, Suchit, Zhaoshi Jiang, Eric Stawiski, et al.. (2014). Diverse modes of genomic alterations in hepatocellular carcinoma. Genome Biology. 15(8). 436–436. 6 indexed citations
12.
Mayba, Oleg, Houston Gilbert, Jinfeng Liu, et al.. (2014). MBASED: allele-specific expression detection in cancer tissues and cell lines. Genome biology. 15(8). 405–405. 82 indexed citations
14.
Mayba, Oleg, Florian Gnad, Michael Peyton, et al.. (2013). INTEGRATIVE ANALYSIS OF TWO CELL LINES DERIVED FROM A NON-SMALL-LUNG CANCER PATIENT – A PANOMICS APPROACH. PubMed. 75–86. 6 indexed citations
15.
Kuo, Taiyi, et al.. (2012). Genome-wide analysis of glucocorticoid receptor-binding sites in myotubes identifies gene networks modulating insulin signaling. Proceedings of the National Academy of Sciences. 109(28). 11160–11165. 119 indexed citations
16.
17.
Vivar, Omar I., Xiaoyue Zhao, Elise F. Saunier, et al.. (2010). Estrogen Receptor β Binds to and Regulates Three Distinct Classes of Target Genes. Journal of Biological Chemistry. 285(29). 22059–22066. 92 indexed citations
18.
Speed, Terence P. & Oleg Mayba. (2007). Analysis of ChIP-Seq Data. 1 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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