Vladimir A. Kuznetsov

12.0k total citations · 2 hit papers
101 papers, 5.9k citations indexed

About

Vladimir A. Kuznetsov is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Vladimir A. Kuznetsov has authored 101 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 17 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Vladimir A. Kuznetsov's work include Gene expression and cancer classification (22 papers), Bioinformatics and Genomic Networks (18 papers) and RNA and protein synthesis mechanisms (17 papers). Vladimir A. Kuznetsov is often cited by papers focused on Gene expression and cancer classification (22 papers), Bioinformatics and Genomic Networks (18 papers) and RNA and protein synthesis mechanisms (17 papers). Vladimir A. Kuznetsov collaborates with scholars based in Singapore, United States and Russia. Vladimir A. Kuznetsov's co-authors include Mark A. Taylor, Alan S. Perelson, Piroon Jenjaroenpun, Gary D. Knott, Anna V. Ivshina, Yuriy L. Orlov, Ghim Siong Ow, Arsen O. Batagov, Atif Shahab and Yijun Ruan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Vladimir A. Kuznetsov

99 papers receiving 5.8k citations

Hit Papers

Nonlinear dynamics of immunogenic tumors: Parameter estim... 1994 2026 2004 2015 1994 2006 200 400 600

Peers

Vladimir A. Kuznetsov
Alex Sigal United States
Mei Song China
David Dingli United States
Dean A. Jackson United Kingdom
Zvia Agur Israel
Abhyudai Singh United States
Thomas D. Wu United States
Jeffrey T. Chang United States
Alex Sigal United States
Vladimir A. Kuznetsov
Citations per year, relative to Vladimir A. Kuznetsov Vladimir A. Kuznetsov (= 1×) peers Alex Sigal

Countries citing papers authored by Vladimir A. Kuznetsov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir A. Kuznetsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir A. Kuznetsov

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir A. Kuznetsov. A scholar is included among the top collaborators of Vladimir A. Kuznetsov 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 Vladimir A. Kuznetsov. Vladimir A. Kuznetsov 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.
Papp, Csaba, et al.. (2023). Dataset of bulged G-quadruplex forming sequences in the human genome. Data in Brief. 50. 109550–109550. 1 indexed citations
2.
Dutta, Arijit, Mohamed Mohamed, Csaba Papp, et al.. (2021). A Tale of Loops and Tails: The Role of Intrinsically Disordered Protein Regions in R-Loop Recognition and Phase Separation. Frontiers in Molecular Biosciences. 8. 691694–691694. 18 indexed citations
3.
Jenjaroenpun, Piroon, Jing Li, Brian K. Haarer, et al.. (2020). Replication Stress Induces Global Chromosome Breakage in the Fragile X Genome. Cell Reports. 32(12). 108179–108179. 32 indexed citations
4.
Carvalho, Leonardo Pinto de, Sock Hwee Tan, Zhiqun Tang, et al.. (2018). Plasma Ceramides as Prognostic Biomarkers and Their Arterial and Myocardial Tissue Correlates in Acute Myocardial Infarction. JACC Basic to Translational Science. 3(2). 163–175. 69 indexed citations
5.
Duszka, Kalina, Sandrine Ellero‐Simatos, Ghim Siong Ow, et al.. (2018). Complementary intestinal mucosa and microbiota responses to caloric restriction. Scientific Reports. 8(1). 11338–11338. 40 indexed citations
6.
Taye, Biruhalem, Candida Vaz, Vivek Tanavde, et al.. (2017). Benchmarking selected computational gene network growing tools in context of virus-host interactions. Scientific Reports. 7(1). 11 indexed citations
7.
Sundaram, Gopinath M., Mohsin Bashir, Manish Muhuri, et al.. (2017). EGF hijacks miR-198/FSTL1 wound-healing switch and steers a two-pronged pathway toward metastasis. The Journal of Experimental Medicine. 214(10). 2889–2900. 53 indexed citations
8.
Барчук, Антон, et al.. (2017). AUTOMATED DIAGNOSIS IN A POPULATION-BASED SCREENING FOR LUNG CANCER. Voprosy Onkologii. 63(2). 215–220.
9.
Ow, Ghim Siong & Vladimir A. Kuznetsov. (2016). Big genomics and clinical data analytics strategies for precision cancer prognosis. Scientific Reports. 6(1). 36493–36493. 20 indexed citations
10.
Yeo, Abrey J., Olivier J. Bécherel, John Luff, et al.. (2014). R-Loops in Proliferating Cells but Not in the Brain: Implications for AOA2 and Other Autosomal Recessive Ataxias. PLoS ONE. 9(3). e90219–e90219. 50 indexed citations
11.
Tang, Zhiqun, Ghim Siong Ow, Jean Paul Thiery, Anna V. Ivshina, & Vladimir A. Kuznetsov. (2013). Meta‐analysis of transcriptome reveals let‐7b as an unfavorable prognostic biomarker and predicts molecular and clinical subclasses in high‐grade serous ovarian carcinoma. International Journal of Cancer. 134(2). 306–318. 60 indexed citations
12.
Nama, Srikanth, Pamela Rizk, Srinivas Ramasamy, et al.. (2012). Targeting Glioma Stem Cells by Functional Inhibition of a Prosurvival OncomiR-138 in Malignant Gliomas. Cell Reports. 2(3). 591–602. 84 indexed citations
13.
Moussa, Samir H., Vladimir A. Kuznetsov, Tram Anh T. Tran, James C. Sacchettini, & Ry Young. (2012). Protein determinants of phage T4 lysis inhibition. Protein Science. 21(4). 571–582. 33 indexed citations
14.
Migliori, Valentina, Julius Müller, Sameer Phalke, et al.. (2012). Symmetric dimethylation of H3R2 is a newly identified histone mark that supports euchromatin maintenance. Nature Structural & Molecular Biology. 19(2). 136–144. 256 indexed citations
15.
Kuznetsov, Vladimir A., Onkar Singh, & Piroon Jenjaroenpun. (2010). Statistics of protein-DNA binding and the total number of binding sites for a transcription factor in the mammalian genome. BMC Genomics. 11(Suppl 1). S12–S12. 16 indexed citations
17.
Grinchuk, Oleg V., Piroon Jenjaroenpun, Yuriy L. Orlov, Jiangtao Zhou, & Vladimir A. Kuznetsov. (2009). Integrative analysis of the human cis -antisense gene pairs, miRNAs and their transcription regulation patterns. Nucleic Acids Research. 38(2). 534–547. 46 indexed citations
18.
Ruan, Yijun, Hong Ooi, Siew Woh Choo, et al.. (2007). Fusion transcripts and transcribed retrotransposed loci discovered through comprehensive transcriptome analysis using Paired-End diTags (PETs). Genome Research. 17(6). 828–838. 67 indexed citations
19.
Ivshina, Anna V., Joshy George, O. V. Sen’ko, et al.. (2006). Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer. Cancer Research. 66(21). 10292–10301. 543 indexed citations breakdown →
20.
Belyakov, Igor M., Patricia L. Earl, Amiran Dzutsev, et al.. (2003). Shared modes of protection against poxvirus infection by attenuated and conventional smallpox vaccine viruses. Proceedings of the National Academy of Sciences. 100(16). 9458–9463. 237 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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