Solov'eva Tf

1.9k total citations
124 papers, 1.5k citations indexed

About

Solov'eva Tf is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Solov'eva Tf has authored 124 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 56 papers in Genetics and 36 papers in Pharmacology. Recurrent topics in Solov'eva Tf's work include Yersinia bacterium, plague, ectoparasites research (49 papers), Pharmacological Effects of Natural Compounds (36 papers) and Plant-based Medicinal Research (21 papers). Solov'eva Tf is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (49 papers), Pharmacological Effects of Natural Compounds (36 papers) and Plant-based Medicinal Research (21 papers). Solov'eva Tf collaborates with scholars based in Russia, South Korea and Spain. Solov'eva Tf's co-authors include Irina M. Yermak, И. Н. Красикова, В. И. Горбач, В. Н. Давыдова, A. O. Barabanova, В. В. Исаков, Yu. S. Ovodov, Ekaterina V. Sokolova, В. П. Глазунов and А. В. Реунов and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Carbohydrate Polymers.

In The Last Decade

Solov'eva Tf

118 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Solov'eva Tf Russia 21 516 476 268 195 192 124 1.5k
В. В. Исаков Russia 28 558 1.1× 1.6k 3.3× 451 1.7× 81 0.4× 235 1.2× 106 2.5k
Andrey S. Dmitrenok Russia 24 518 1.0× 587 1.2× 243 0.9× 53 0.3× 104 0.5× 124 1.6k
Yuanhong Wang China 24 525 1.0× 245 0.5× 309 1.2× 67 0.3× 152 0.8× 105 1.8k
Т. С. Запорожец Russia 21 295 0.6× 816 1.7× 175 0.7× 23 0.1× 137 0.7× 74 1.4k
Qianhong Gong China 18 582 1.1× 298 0.6× 154 0.6× 53 0.3× 167 0.9× 39 1.2k
Carlos A. Pujol Argentina 27 552 1.1× 1.9k 3.9× 726 2.7× 33 0.2× 207 1.1× 55 2.8k
Kausik Chattopadhyay India 9 239 0.5× 729 1.5× 323 1.2× 16 0.1× 121 0.6× 13 1.1k
Vanessa Leiria Campo Brazil 17 635 1.2× 601 1.3× 209 0.8× 14 0.1× 360 1.9× 32 1.9k
Kenji Sakaguchi Japan 23 867 1.7× 122 0.3× 258 1.0× 183 0.9× 140 0.7× 113 1.6k
Senitiroh Hakomori United States 8 1.1k 2.2× 180 0.4× 896 3.3× 63 0.3× 373 1.9× 10 2.2k

Countries citing papers authored by Solov'eva Tf

Since Specialization
Citations

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

Fields of papers citing papers by Solov'eva Tf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Solov'eva Tf. 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 Solov'eva Tf. The network helps show where Solov'eva Tf may publish in the future.

Co-authorship network of co-authors of Solov'eva Tf

This figure shows the co-authorship network connecting the top 25 collaborators of Solov'eva Tf. A scholar is included among the top collaborators of Solov'eva Tf 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 Solov'eva Tf. Solov'eva Tf 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.
Tf, Solov'eva, et al.. (2022). Expression of membrane beta-barrel protein in E. coli at low temperatures: Structure of Yersinia pseudotuberculosis OmpF porin inclusion bodies. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(9). 183971–183971. 3 indexed citations
2.
Sergeev, Aleksandr A., et al.. (2022). In situ-Synthesized cadmium sulfide quantum dots in pore-forming protein and polysaccharide matrices for optical biosensing applications. Colloids and Surfaces B Biointerfaces. 217. 112607–112607. 6 indexed citations
3.
Новикова, О. Д., et al.. (2017). Peculiarities of thermal denaturation of OmpF porin from Yersinia ruckeri. Molecular BioSystems. 13(9). 1854–1862. 3 indexed citations
4.
Dmitrenok, Pavel S., et al.. (2017). Self-Organization of Recombinant Membrane Porin OmpF from Yersinia pseudotuberculosis in Aqueous Environments. Biochemistry (Moscow). 82(11). 1304–1313. 2 indexed citations
5.
Isaeva, Marina P., et al.. (2016). Recombinant phospholipase A1 of the outer membrane of psychrotrophic Yersinia pseudotuberculosis: Expression, purification, and characterization. Biochemistry (Moscow). 81(1). 47–57. 5 indexed citations
6.
Likhatskaya, G. N., et al.. (2014). Mutant OmpF porins of Yersinia pseudotuberculosis with deletions of external loops: Structure–functional and immunochemical properties. Biochemical and Biophysical Research Communications. 445(2). 428–432. 4 indexed citations
7.
Горбач, В. И., et al.. (2013). Interaction of N-acylated and N-alkylated chitosans included in liposomes with lipopolysaccharide of gram-negative bacteria. Biochemistry (Moscow). 78(3). 301–308. 8 indexed citations
8.
Isaeva, Marina P., et al.. (2012). Molecular cloning, isolation, and properties of chaperone Skp from Yersinia pseudotuberculosis. Biochemistry (Moscow). 77(11). 1315–1325. 2 indexed citations
9.
Tf, Solov'eva, et al.. (2009). [Oxygen deficiency increases invasive activity and resistance of Yersinia pseudotuberculosis to heat stress].. PubMed. 18–23. 1 indexed citations
10.
Новикова, О. Д., et al.. (2008). Influence of cultivation conditions on spatial structure and functional activity of OmpF-like porin from outer membrane of Yersinia pseudotuberculosis. Biochemistry (Moscow). 73(2). 139–148. 10 indexed citations
11.
Давыдова, В. Н., Svetlana Bratskaya, В. И. Горбач, et al.. (2008). Comparative study of electrokinetic potentials and binding affinity of lipopolysaccharides–chitosan complexes. Biophysical Chemistry. 136(1). 1–6. 17 indexed citations
12.
Yermak, Irina M., et al.. (2006). Determination of binding constants of lipopolysaccharides of different structure with chitosan. Biochemistry (Moscow). 71(3). 332–339. 15 indexed citations
13.
Barabanova, A. O., Irina M. Yermak, В. П. Глазунов, et al.. (2005). Comparative study of carrageenans from reproductive and sterile forms of Tichocarpus crinitus (Gmel.) Rupr (Rhodophyta, Tichocarpaceae). Biochemistry (Moscow). 70(3). 350–356. 45 indexed citations
14.
Красикова, И. Н., et al.. (2001). Effects of Culture Method and Growth Phase on Free Lipid Composition of Yersinia pseudotuberculosis. Biochemistry (Moscow). 66(4). 415–421. 6 indexed citations
15.
Красикова, И. Н., et al.. (2001). Glucose as a Growth Medium Factor Regulating Lipid Composition of Yersinia pseudotuberculosis. Biochemistry (Moscow). 66(8). 913–917. 3 indexed citations
16.
Красикова, И. Н., et al.. (2001). The Effect of the Cultivation Method and the Growth Phase on the Lipopolysaccharide Composition of Yersinia pseudotuberculosis. Russian Journal of Bioorganic Chemistry. 27(2). 130–134. 5 indexed citations
17.
Красикова, И. Н., Vasily I. Svetashev, Р. П. Горшкова, et al.. (2001). Chemical Characterization of Lipid A from Some Marine Proteobacteria. Biochemistry (Moscow). 66(9). 1047–1054. 8 indexed citations
18.
Горбач, В. И., et al.. (1994). New glycolipids (chitooligosaccharide derivatives) possessing immunostimulating and antitumor activities. Carbohydrate Research. 260(1). 73–82. 34 indexed citations
19.
Tf, Solov'eva, et al.. (1983). [Lipopolysaccharide-protein complexes of the outer membrane of gram-negative bacteria].. PubMed. 9(6). 725–33. 4 indexed citations
20.
Tf, Solov'eva, et al.. (1980). Alkaloids from the fungus Claviceps sp. IBPM-F-401.. 16(4). 569–577. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by В. В. Исаков Breakdown of academic impact, for papers by Andrey S. Dmitrenok Breakdown of academic impact, for papers by Yuanhong Wang Breakdown of academic impact, for papers by Т. С. Запорожец Breakdown of academic impact, for papers by Qianhong Gong Breakdown of academic impact, for papers by Carlos A. Pujol Breakdown of academic impact, for papers by Kausik Chattopadhyay Breakdown of academic impact, for papers by Vanessa Leiria Campo Breakdown of academic impact, for papers by Kenji Sakaguchi Breakdown of academic impact, for papers by Senitiroh Hakomori
Rankless by CCL
2026