Dzmitry Mukha

954 total citations
19 papers, 680 citations indexed

About

Dzmitry Mukha is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Dzmitry Mukha has authored 19 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Cancer Research. Recurrent topics in Dzmitry Mukha's work include Pharmacogenetics and Drug Metabolism (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Computational Drug Discovery Methods (3 papers). Dzmitry Mukha is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Computational Drug Discovery Methods (3 papers). Dzmitry Mukha collaborates with scholars based in Belarus, Russia and Israel. Dzmitry Mukha's co-authors include Tomer Shlomi, Maya Benami, David Meiri, Paula Berman, Gil M. Lewitus, É. M. Aizenshtein, Praveen Kumar, Won Dong Lee, Amit Tzur and Sergey A. Usanov and has published in prestigious journals such as Nature Communications, Cell Metabolism and Scientific Reports.

In The Last Decade

Dzmitry Mukha

19 papers receiving 673 citations

Peers

Dzmitry Mukha

PHARM

SPECT

Alexandros Siskos United Kingdom

Xiaolan Shen United States

Anna Zawadzka Poland

Xiao‐Xi Guo China

Chhanda Bose United States

Huajin Wang United States

Roberta Ottria Italy

Jinxin V. Pei Australia

María C. Ramos Spain

Alexandros Siskos United Kingdom

Dzmitry Mukha

511 ×1.5

270 ×1.4

PHARM

40 ×0.3

98 ×0.9

68 ×1.0

SPECT

Citations per year, relative to Dzmitry Mukha Dzmitry Mukha (= 1×) peers Alexandros Siskos

Countries citing papers authored by Dzmitry Mukha

Since Specialization

Citations

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

Fields of papers citing papers by Dzmitry Mukha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dzmitry Mukha

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

All Works

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19 of 19 papers shown

Mukha, Dzmitry, Toshitha Kannan, Joel Cassel, et al.. (2024). ACSS1-dependent acetate utilization rewires mitochondrial metabolism to support AML and melanoma tumor growth and metastasis. Cell Reports. 43(12). 114988–114988. 5 indexed citations

Han, Anna, Dzmitry Mukha, Vivian Chua, et al.. (2023). Co-Targeting FASN and mTOR Suppresses Uveal Melanoma Growth. Cancers. 15(13). 3451–3451. 5 indexed citations

Miller, Katelyn D., Seamus O’Connor, Toshitha Kannan, et al.. (2023). Acetate acts as a metabolic immunomodulator by bolstering T-cell effector function and potentiating antitumor immunity in breast cancer. Nature Cancer. 4(10). 1491–1507. 78 indexed citations

Mukha, Dzmitry, et al.. (2022). Glycine decarboxylase maintains mitochondrial protein lipoylation to support tumor growth. Cell Metabolism. 34(5). 775–782.e9. 37 indexed citations

Mukha, Dzmitry, et al.. (2020). Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample-specific ion distributions. Nature Communications. 11(1). 3186–3186. 56 indexed citations

Lee, Won Dong, A. A. Stern, Keren Nevo‐Dinur, et al.. (2020). Tumor Reliance on Cytosolic versus Mitochondrial One-Carbon Flux Depends on Folate Availability. Cell Metabolism. 33(1). 190–198.e6. 40 indexed citations

Lee, Won Dong, Dzmitry Mukha, É. M. Aizenshtein, & Tomer Shlomi. (2019). Spatial-fluxomics provides a subcellular-compartmentalized view of reductive glutamine metabolism in cancer cells. Nature Communications. 10(1). 1351–1351. 53 indexed citations

Mukha, Dzmitry, et al.. (2019). Blimp1+ cells generate functional mouse sebaceous gland organoids in vitro. Nature Communications. 10(1). 2348–2348. 38 indexed citations

Berman, Paula, Gil M. Lewitus, Dzmitry Mukha, et al.. (2018). A new ESI-LC/MS approach for comprehensive metabolic profiling of phytocannabinoids in Cannabis. Scientific Reports. 8(1). 14280–14280. 208 indexed citations

10.

Kumar, Praveen, et al.. (2017). Temporal fluxomics reveals oscillations in TCA cycle flux throughout the mammalian cell cycle. Molecular Systems Biology. 13(11). 953–953. 62 indexed citations

11.

Gnedenko, O.V., Ivanov As, Е.O. Yablokov, et al.. (2015). Protein-protein interactions of cytochromes P450 3A4 and 3A5 with their intermediate redox partners cytochromes b5. Biomeditsinskaya Khimiya. 61(4). 468–474. 1 indexed citations

12.

Gnedenko, O.V., Ivanov As, Е.O. Yablokov, et al.. (2014). Protein-protein interactions in the systems of cytochromes P450 3A4 and 3A5. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 8(3). 231–236. 3 indexed citations

13.

MacKenzie, Farrell, Dzmitry Mukha, Alexander V. Baranovsky, et al.. (2014). Human steroid and oxysterol 7α‐hydroxylase CYP7B1: substrate specificity, azole binding and misfolding of clinically relevant mutants. FEBS Journal. 281(6). 1700–1713. 33 indexed citations

14.

Gnedenko, O.V., Ivanov As, Е.O. Yablokov, et al.. (2014). Protein-protein interactions of cytochromes P450 3A4 and 3A5 with their intermediate redox partners cytochromes. Biomeditsinskaya Khimiya. 60(1). 17–27. 6 indexed citations

15.

Gnedenko, O.V., Е.O. Yablokov, Sergey A. Usanov, et al.. (2014). SPR and electrochemical analyses of interactions between CYP3A4 or 3A5 and cytochrome b5. Chemical Physics Letters. 593. 40–44. 23 indexed citations

16.

Gnedenko, O.V., Leonid Kaluzhskiy, Dzmitry Mukha, et al.. (2013). The SPR-based biosensor test system for analysis of small compounds interaction with human cytochrome P450 51A1 (CYP51A1). Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 7(3). 187–195. 6 indexed citations

17.

Gnedenko, O.V., Leonid Kaluzhskiy, A. A. Molnar, et al.. (2013). SPR-biosensor assay for analysis of small compounds interaction with human cytochrome P450 51A1 (CYP51A1). Biomeditsinskaya Khimiya. 59(4). 388–398. 2 indexed citations

18.

Ершов, П.В., Yuri V. Mezentsev, O.V. Gnedenko, et al.. (2012). Protein interactomics based on direct molecular fishing on paramagnetic particles: Experimental simulation and SPR validation. PROTEOMICS. 12(22). 3295–3298. 18 indexed citations

19.

Mukha, Dzmitry, И. Д. Феранчук, А. А. Гилеп, & Sergey A. Usanov. (2011). Molecular modeling of human lanosterol 14α-demethylase complexes with substrates and their derivatives. Biochemistry (Moscow). 76(2). 175–185. 6 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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