Victor V. Bartsevich

2.5k total citations
18 papers, 929 citations indexed

About

Victor V. Bartsevich is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Victor V. Bartsevich has authored 18 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Victor V. Bartsevich's work include Photosynthetic Processes and Mechanisms (6 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (3 papers). Victor V. Bartsevich is often cited by papers focused on Photosynthetic Processes and Mechanisms (6 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (3 papers). Victor V. Bartsevich collaborates with scholars based in United States and Russia. Victor V. Bartsevich's co-authors include Himadri B. Pakrasi, R. L. Juliano, Sean Kim, Gap Ryol Lee, Richard A. Flavell, Patrick E. Fields, Jeff Smith, Derek Jantz, Janel Lape and Carl O. Pabo and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Immunity.

In The Last Decade

Victor V. Bartsevich

18 papers receiving 902 citations

Peers

Victor V. Bartsevich

MB

ONCOL

GENET

IMMUN

PS

Michael J. Mendez United States

Fei Kong China

Haiying Hang China

Isabel Duarte Portugal

Marko Novinec Slovenia

David M. Coder United States

Takashi Nakashima Japan

Diane Bodenmiller United States

Lei Jia China

Thomas Urbig Germany

Michael J. Mendez United States

Victor V. Bartsevich

734 ×1.2

MB

102 ×0.4

ONCOL

118 ×0.5

GENET

135 ×0.7

IMMUN

53 ×0.6

PS

Citations per year, relative to Victor V. Bartsevich Victor V. Bartsevich (= 1×) peers Michael J. Mendez

Countries citing papers authored by Victor V. Bartsevich

Since Specialization

Citations

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

Fields of papers citing papers by Victor V. Bartsevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor V. Bartsevich. 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 Victor V. Bartsevich. The network helps show where Victor V. Bartsevich may publish in the future.

Co-authorship network of co-authors of Victor V. Bartsevich

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

All Works

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18 of 18 papers shown

1.

Noel, Jennifer, Wei Wang, Nazarul Hasan, et al.. (2021). Rho 1-2 meganuclease, an allele-specific gene-editing therapy, rejuvenates rod photoreceptor structure and function in a pig model of autosomal dominant Retinitis Pigmentosa (adRP).. Investigative Ophthalmology & Visual Science. 62(8). 1478–1478. 2 indexed citations

2.

Wang, Lili, Jeff Smith, Camilo Breton, et al.. (2018). Meganuclease targeting of PCSK9 in macaque liver leads to stable reduction in serum cholesterol. Nature Biotechnology. 36(8). 717–725. 89 indexed citations

3.

MacLeod, Daniel T., Aaron J. Martin, Armin Hekele, et al.. (2017). Integration of a CD19 CAR into the TCR Alpha Chain Locus Streamlines Production of Allogeneic Gene-Edited CAR T Cells. Molecular Therapy. 25(4). 949–961. 223 indexed citations

4.

Brown, Audrey E., Daniel T. MacLeod, Aaron J. Martin, et al.. (2016). T cell receptor knockout efficiency utilizing an engineered meganuclease is influenced by stimulation conditions.. The Journal of Immunology. 196(1_Supplement). 138.2–138.2. 3 indexed citations

5.

Shcherbatko, Anatoly, Andrea Rossi, Davide Foletti, et al.. (2016). Engineering Highly Potent and Selective Microproteins against Nav1.7 Sodium Channel for Treatment of Pain. Journal of Biological Chemistry. 291(27). 13974–13986. 42 indexed citations

6.

Bartsevich, Victor V., John Morris, Michael G. Nicholson, et al.. (2016). 579. Meganucleases as an Efficient Tool for Genome Editing. Molecular Therapy. 24. S230–S230. 4 indexed citations

7.

Reik, Andreas, Yuanyue Zhou, Trevor N. Collingwood, et al.. (2006). Enhanced protein production by engineered zinc finger proteins. Biotechnology and Bioengineering. 97(5). 1180–1189. 16 indexed citations

8.

Pérez, Elena, Yann Jouvenot, Jeffrey C. Miller, et al.. (2006). 758. Towards Gene Knock out Therapy for AIDS/HIV: Targeted Disruption of CCR5 Using Engineered Zinc Finger Protein Nucleases (ZFNs). Molecular Therapy. 13. S293–S293. 3 indexed citations

9.

Fields, Patrick E., Gap Ryol Lee, Sean Kim, Victor V. Bartsevich, & Richard A. Flavell. (2004). Th2-Specific Chromatin Remodeling and Enhancer Activity in the Th2 Cytokine Locus Control Region. Immunity. 21(6). 865–876. 152 indexed citations

10.

Bartsevich, Victor V., Jeffrey C. Miller, Casey C. Case, & Carl O. Pabo. (2003). Engineered Zinc Finger Proteins for Controlling Stem Cell Fate. Stem Cells. 21(6). 632–637. 46 indexed citations

11.

Bartsevich, Victor V., et al.. (2003). Regulation of Manganese Uptake in Synechocystis 6803 by RfrA, a Member of a Novel Family of Proteins Containing a Repeated Five-Residues Domain. Biochemistry. 42(18). 5508–5514. 23 indexed citations

12.

Bartsevich, Victor V. & R. L. Juliano. (2000). Regulation of the MDR1 Gene by Transcriptional Repressors Selected Using Peptide Combinatorial Libraries. Molecular Pharmacology. 58(1). 1–10. 72 indexed citations

13.

Bartsevich, Victor V. & R. L. Juliano. (2000). Regulation of the MDR1 Gene by Transcriptional Repressors Selected Using Peptide Combinatorial Libraries. Molecular Pharmacology. 58(1). 1–10. 5 indexed citations

14.

Bartsevich, Victor V. & Himadri B. Pakrasi. (1999). Membrane Topology of MntB, the Transmembrane Protein Component of an ABC Transporter System for Manganese in the Cyanobacterium Synechocystis sp. Strain PCC 6803. Journal of Bacteriology. 181(11). 3591–3593. 14 indexed citations

15.

Bartsevich, Victor V. & Himadri B. Pakrasi. (1997). Molecular Identification of a Novel Protein That Regulates Biogenesis of Photosystem I, a Membrane Protein Complex. Journal of Biological Chemistry. 272(10). 6382–6387. 30 indexed citations

16.

Bartsevich, Victor V. & Himadri B. Pakrasi. (1996). Manganese Transport in the Cyanobacterium Synechocystis sp. PCC 6803. Journal of Biological Chemistry. 271(42). 26057–26061. 73 indexed citations

17.

Bartsevich, Victor V., et al.. (1995). The dspA gene product of the cyanobacterium Synechocystis sp. strain PCC 6803 influences sensitivity to chemically different growth inhibitors and has amino acid similarity to histidine protein kinases. Microbiology. 141(11). 2915–2920. 26 indexed citations

18.

Bartsevich, Victor V. & Himadri B. Pakrasi. (1995). Molecular identification of an ABC transporter complex for manganese: analysis of a cyanobacterial mutant strain impaired in the photosynthetic oxygen evolution process.. The EMBO Journal. 14(9). 1845–1853. 106 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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