Konstantin Leskov

2.7k total citations
31 papers, 1.8k citations indexed

About

Konstantin Leskov is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Konstantin Leskov has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Oncology and 11 papers in Immunology. Recurrent topics in Konstantin Leskov's work include Clusterin in disease pathology (13 papers), Nuclear Structure and Function (8 papers) and HIV Research and Treatment (7 papers). Konstantin Leskov is often cited by papers focused on Clusterin in disease pathology (13 papers), Nuclear Structure and Function (8 papers) and HIV Research and Treatment (7 papers). Konstantin Leskov collaborates with scholars based in United States, Germany and Croatia. Konstantin Leskov's co-authors include David A. Boothman, Timothy J. Kinsella, Tracy Criswell, Dmitry Klokov, Jing Li, Shigeki Miyamoto, Guangbin Luo, Wolfgang Tilgen, Batool Shannan and M. Seifert 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

Konstantin Leskov

28 papers receiving 1.8k citations

Peers

Konstantin Leskov
Khaled A. Hassan United States
Tim Hon Man Chan United States
Ling-Mei Wang United States
Ryan M. Young United States
Konstantin Leskov
Citations per year, relative to Konstantin Leskov Konstantin Leskov (= 1×) peers Cameron N. Johnstone

Countries citing papers authored by Konstantin Leskov

Since Specialization
Citations

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

Fields of papers citing papers by Konstantin Leskov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantin Leskov

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin Leskov. A scholar is included among the top collaborators of Konstantin Leskov 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 Konstantin Leskov. Konstantin Leskov 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.
Freeman, Michael L., Brian Clagett, Konstantin Leskov, et al.. (2025). Interleukin-2 is a potent latency reversal agent in people with treated HIV-1. Science Advances. 11(51). eaea4268–eaea4268.
2.
Gunawardane, Lalith, Farshad Niazi, Uri Mbonye, et al.. (2025). HIV infection reprogrammes CD4+ T cells for quiescence and entry into proviral latency. Nature Microbiology. 10(10). 2454–2471.
3.
Nguyen, Kien, Uri Mbonye, Meenakshi Shukla, et al.. (2024). Structural rearrangements in the nucleus localize latent HIV proviruses to a perinucleolar compartment supportive of reactivation. Proceedings of the National Academy of Sciences. 121(18). e2202003121–e2202003121. 3 indexed citations
4.
Weng, Chen, Shanshan Zhang, Leina Lu, et al.. (2023). Single cell multiomic analysis reveals diabetes-associated β-cell heterogeneity driven by HNF1A. Nature Communications. 14(1). 5400–5400. 19 indexed citations
5.
Kampmann, Martin, Iart Luca Shytaj, Sheetal Sreeram, et al.. (2023). Genomic profiling of HIV-1 integration in microglia cells links viral integration to the topologically associated domains. Cell Reports. 42(2). 112110–112110. 20 indexed citations
6.
Sreeram, Sheetal, Fengchun Ye, Yoelvis García‐Mesa, et al.. (2022). The potential role of HIV-1 latency in promoting neuroinflammation and HIV-1-associated neurocognitive disorder. Trends in Immunology. 43(8). 630–639. 39 indexed citations
7.
Ye, Fengchun, David Alvarez-Carbonell, Kien Nguyen, et al.. (2022). Recruitment of the CoREST transcription repressor complexes by Nerve Growth factor IB-like receptor (Nurr1/NR4A2) mediates silencing of HIV in microglial cells. PLoS Pathogens. 18(7). e1010110–e1010110. 15 indexed citations
8.
Mbonye, Uri, Konstantin Leskov, Meenakshi Shukla, Saba Valadkhan, & Jonathan Karn. (2021). Biogenesis of P-TEFb in CD4+ T cells to reverse HIV latency is mediated by protein kinase C (PKC)-independent signaling pathways. PLoS Pathogens. 17(9). e1009581–e1009581. 15 indexed citations
9.
Li, Haiyan, et al.. (2020). Single-cell lineage analysis reveals extensive multimodal transcriptional control during directed beta-cell differentiation. Nature Metabolism. 2(12). 1443–1458. 43 indexed citations
10.
Zhang, Zili, Qi Liu, Konstantin Leskov, et al.. (2013). Roscovitine Suppresses CD4+ T Cells and T Cell-Mediated Experimental Uveitis. PLoS ONE. 8(11). e81154–e81154. 7 indexed citations
11.
Klokov, Dmitry, Konstantin Leskov, Shinako Araki, et al.. (2012). Low dose IR-induced IGF-1-sCLU expression: a p53-repressed expression cascade that interferes with TGFβ1 signaling to confer a pro-survival bystander effect. Oncogene. 32(4). 479–490. 24 indexed citations
12.
Leskov, Konstantin, Shinako Araki, José A. Gómez, et al.. (2011). CRM1 Protein-mediated Regulation of Nuclear Clusterin (nCLU), an Ionizing Radiation-stimulated, Bax-dependent Pro-death Factor. Journal of Biological Chemistry. 286(46). 40083–40090. 35 indexed citations
13.
14.
Sutton, Damon, Saejeong Kim, Xintao Shuai, et al.. (2006). Efficient suppression of secretory clusterin levels by polymer-siRNA nanocomplexes enhances ionizing radiation lethality in human MCF-7 breast cancer cells in vitro. International Journal of Nanomedicine. 1(2). 155–162. 41 indexed citations
15.
Criswell, Tracy, et al.. (2005). Delayed Activation of Insulin-like Growth Factor-1 Receptor/Src/MAPK/Egr-1 Signaling Regulates Clusterin Expression, a Pro-survival Factor. Journal of Biological Chemistry. 280(14). 14212–14221. 126 indexed citations
16.
Shannan, Batool, M. Seifert, Konstantin Leskov, et al.. (2005). Challenge and promise: roles for clusterin in pathogenesis, progression and therapy of cancer. Cell Death and Differentiation. 13(1). 12–19. 268 indexed citations
17.
Klokov, Dmitry, Tracy Criswell, Konstantin Leskov, et al.. (2004). IR-inducible clusterin gene expression: a protein with potential roles in ionizing radiation-induced adaptive responses, genomic instability, and bystander effects. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 568(1). 97–110. 67 indexed citations
18.
Leskov, Konstantin, Dmitry Klokov, Jing Li, Timothy J. Kinsella, & David A. Boothman. (2003). Synthesis and Functional Analyses of Nuclear Clusterin, a Cell Death Protein. Journal of Biological Chemistry. 278(13). 11590–11600. 338 indexed citations
19.
Leskov, Konstantin, Tracy Criswell, Jing Li, et al.. (2001). When X-ray-inducible proteins meet DNA double strand break repair. Seminars in Radiation Oncology. 11(4). 352–372. 48 indexed citations
20.
Yatsula, Bogdan, Michael Shtutman, Irina Kaverina, et al.. (1996). Two Novel Variants of the v-srcOncogene Isolated from Low and High Metastatic RSV-Transformed Hamster Cells. Virology. 216(2). 347–356. 13 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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