T.V. Chernovskaya

418 total citations
15 papers, 345 citations indexed

About

T.V. Chernovskaya is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, T.V. Chernovskaya has authored 15 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pathology and Forensic Medicine. Recurrent topics in T.V. Chernovskaya's work include Yersinia bacterium, plague, ectoparasites research (6 papers), Vector-borne infectious diseases (4 papers) and Multiple Sclerosis Research Studies (4 papers). T.V. Chernovskaya is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (6 papers), Vector-borne infectious diseases (4 papers) and Multiple Sclerosis Research Studies (4 papers). T.V. Chernovskaya collaborates with scholars based in Russia, United Kingdom and Belarus. T.V. Chernovskaya's co-authors include V.P. Zav′yalov, Vyacheslav M. Abramov, Sheila MacIntyre, Anatoly M. Vasiliev, Andrey V. Karlyshev, Galina A. Zav’yalova, David A. Chapman, O. Yu. Smirnov, Edouard E. Galyov and Д. А. Долгих and has published in prestigious journals such as Journal of Clinical Oncology, Biochemical Journal and FEBS Letters.

In The Last Decade

T.V. Chernovskaya

15 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T.V. Chernovskaya Russia	9	197	165	88	69	41	15	345
Galina A. Zav’yalova Finland	11	209 1.1×	216 1.3×	128 1.5×	43 0.6×	12 0.3×	13	404
Jovanka T. Koo United States	9	170 0.9×	231 1.4×	79 0.9×	33 0.5×	14 0.3×	9	415
Michaela Fritz Germany	6	154 0.8×	258 1.6×	68 0.8×	20 0.3×	28 0.7×	6	500
Elizabeth A. Rucks United States	13	60 0.3×	167 1.0×	53 0.6×	18 0.3×	27 0.7×	25	379
Thomas Schmoll Germany	8	243 1.2×	187 1.1×	271 3.1×	13 0.2×	9 0.2×	10	460
Pallabi Mitra India	13	74 0.4×	224 1.4×	17 0.2×	145 2.1×	191 4.7×	31	546
Ralf Hertle Germany	11	126 0.6×	258 1.6×	140 1.6×	8 0.1×	27 0.7×	16	444
A M Viitanen Finland	4	250 1.3×	102 0.6×	164 1.9×	35 0.5×	8 0.2×	5	368
Anne McIntosh United Kingdom	12	61 0.3×	117 0.7×	38 0.4×	84 1.2×	50 1.2×	14	370
Sonja Preger Germany	6	226 1.1×	117 0.7×	83 0.9×	28 0.4×	14 0.3×	7	370

Countries citing papers authored by T.V. Chernovskaya

Since Specialization

Citations

This map shows the geographic impact of T.V. Chernovskaya'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 T.V. Chernovskaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.V. Chernovskaya more than expected).

Fields of papers citing papers by T.V. Chernovskaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.V. Chernovskaya

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

All Works

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15 of 15 papers shown

1.

Malkova, N A, С А Сиверцева, N. А. Totolyan, et al.. (2023). Long-term Efficacy and Safety of Sampeginterferon-β1a in the Treatment of Relapsing Remitting Multiple Sclerosis: a Randomized, Double-Blind Clinical Trial 104-Week Results. S S Korsakov Journal of Neurology and Psychiatry. 123(2). 52–52. 2 indexed citations

2.

Гусев, Е. И., et al.. (2022). Efficacy and safety of sampeginterferon β-1a in the treatment of relapsing remitting multiple sclerosis: results of 52 weeks of therapy in a randomized, double-blind clinical trial. S S Korsakov Journal of Neurology and Psychiatry. 122(1). 62–62. 6 indexed citations

3.

Malkova, N A, et al.. (2019). The new pegylated interferon beta-1a (sampeginterferon beta-1a, BCD-054) in the treatment of remitting multiple sclerosis. S S Korsakov Journal of Neurology and Psychiatry. 119(10). 100–100. 2 indexed citations

4.

Malkova, N A, et al.. (2019). The new pegylated interferon beta-1a (sampeginterferon beta-1a, BCD-054) in the treatment of remitting multiple sclerosis. S S Korsakov Journal of Neurology and Psychiatry. 119(10). 100–100. 4 indexed citations

5.

Chernovskaya, T.V., et al.. (2015). Preparation of monoPEGylated human interferon beta-1a: Optimization of the conditions for N-terminal PEGylation. Applied Biochemistry and Microbiology. 51(7). 774–785. 6 indexed citations

6.

Chernovskaya, T.V., Olga Burdaeva, Marina Matrosova, et al.. (2013). Efficacy and safety of BCD-017, a novel pegylated filgrastim: Results of open-label controlled phase II study in patients with breast cancer receiving myelosuppressive chemotherapy.. Journal of Clinical Oncology. 31(15_suppl). e20593–e20593. 5 indexed citations

7.

MacIntyre, Sheila, et al.. (2001). An extended hydrophobic interactive surface of Yersinia pestis Caf1M chaperone is essential for subunit binding and F1 capsule assembly. Molecular Microbiology. 39(1). 12–25. 32 indexed citations

8.

Chapman, David A., Anton V. Zavialov, T.V. Chernovskaya, et al.. (1999). Structural and Functional Significance of the FGL Sequence of the Periplasmic Chaperone Caf1M of Yersinia pestis. Journal of Bacteriology. 181(8). 2422–2429. 28 indexed citations

9.

Zav′yalov, V.P., T.V. Chernovskaya, David A. Chapman, et al.. (1997). Influence of the conserved disulphide bond, exposed to the putative binding pocket, on the structure and function of the immunoglobulin-like molecular chaperone Caf1M of Yersinia pestis. Biochemical Journal. 324(2). 571–578. 38 indexed citations

10.

Zav′yalov, V.P., et al.. (1996). pH6 antigen ( PsaA protein) ofYersinia pestis, a novel bacterial Fc-receptor. FEMS Immunology & Medical Microbiology. 14(1). 53–57. 41 indexed citations

11.

Zav′yalov, V.P., T.V. Chernovskaya, E. V. Navolotskaya, et al.. (1995). Specific high affinity binding of human interleukin 1β by Caf1A usher protein of Yersinia pestis. FEBS Letters. 371(1). 65–68. 53 indexed citations

12.

Galyov, Edouard E., T.V. Chernovskaya, Д. А. Долгих, et al.. (1991). Expression of the envelope antigen F1 of Yersinia pestis is mediated by the product of caf1M gene having homology with the chaperone protein PapD of Escherichia coli. FEBS Letters. 286(1-2). 79–82. 74 indexed citations

13.

Chernovskaya, T.V., et al.. (1982). Leader polypeptides encoded in the 5′‐region of the encephalomyocarditis virus genome. FEBS Letters. 141(2). 153–156. 10 indexed citations

14.

Svitkin, Yuri V., et al.. (1981). Translation of tick-borne encephalitis virus (flavivirus) genome in vitro: Synthesis of two structural polypeptides. Virology. 110(1). 26–34. 36 indexed citations

15.

Podobed, O. V., et al.. (1974). Lack of correlation between the lifetimes of mRNA and the initial lengths of their poly a segments. Molecular Biology Reports. 1(7). 417–422. 8 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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