Lia A. Baltina

752 total citations
8 papers, 539 citations indexed

About

Lia A. Baltina is a scholar working on Pharmacology, Immunology and Molecular Biology. According to data from OpenAlex, Lia A. Baltina has authored 8 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Lia A. Baltina's work include Pharmacological Effects of Natural Compounds (7 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Ginseng Biological Effects and Applications (2 papers). Lia A. Baltina is often cited by papers focused on Pharmacological Effects of Natural Compounds (7 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Ginseng Biological Effects and Applications (2 papers). Lia A. Baltina collaborates with scholars based in Russia, Taiwan and Germany. Lia A. Baltina's co-authors include Л. А. Балтина, Р. М. Кондратенко, Martin Michaelis, Г. А. Толстиков, Hans Wilhelm Doerr, Jindřich Činátl, Marat S. Yunusov, Jaw‐Ming Cherng, Jung‐Chung Lin and Cheng‐Wen Lin and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

Lia A. Baltina

8 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lia A. Baltina Russia 6 373 165 132 122 101 8 539
Р. М. Кондратенко Russia 11 606 1.6× 328 2.0× 197 1.5× 154 1.3× 153 1.5× 51 797
Lien Chai Chiang Taiwan 11 275 0.7× 130 0.8× 97 0.7× 168 1.4× 121 1.2× 14 616
Kuo Chih Wang Taiwan 9 258 0.7× 111 0.7× 87 0.7× 161 1.3× 96 1.0× 10 549
Jens Bielenberg Italy 6 472 1.3× 222 1.3× 85 0.6× 106 0.9× 127 1.3× 10 573
Doerr Hw Germany 6 503 1.3× 234 1.4× 165 1.3× 225 1.8× 121 1.2× 21 990
Den En Shieh Taiwan 8 242 0.6× 87 0.5× 72 0.5× 145 1.2× 78 0.8× 8 472
Tutik Sri Wahyuni Indonesia 13 229 0.6× 152 0.9× 38 0.3× 45 0.4× 173 1.7× 66 586
Ines Tomoco Kusumoto Japan 8 134 0.4× 179 1.1× 49 0.4× 151 1.2× 213 2.1× 11 644
V.Eng-Choon Ooi Hong Kong 9 111 0.3× 387 2.3× 69 0.5× 76 0.6× 213 2.1× 9 724
C.V. Chandrasekaran India 12 224 0.6× 173 1.0× 54 0.4× 251 2.1× 161 1.6× 16 604

Countries citing papers authored by Lia A. Baltina

Since Specialization
Citations

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

Fields of papers citing papers by Lia A. Baltina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lia A. Baltina. 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 Lia A. Baltina. The network helps show where Lia A. Baltina may publish in the future.

Co-authorship network of co-authors of Lia A. Baltina

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

All Works

8 of 8 papers shown
1.
Lu, Chih‐Hao, Yeh Chen, Wen‐Chi Su, et al.. (2024). Glycyrrhizic acid conjugates with amino acid methyl esters target the main protease, exhibiting antiviral activity against wild-type and nirmatrelvir-resistant SARS-CoV-2 variants. Antiviral Research. 227. 105920–105920. 1 indexed citations
2.
Hour, Mann‐Jen, Yeh Chen, Л. А. Балтина, et al.. (2022). Glycyrrhizic Acid Derivatives Bearing Amino Acid Residues in the Carbohydrate Part as Dengue Virus E Protein Inhibitors: Synthesis and Antiviral Activity. International Journal of Molecular Sciences. 23(18). 10309–10309. 10 indexed citations
3.
Балтина, Л. А., Hsueh‐Chou Lai, Su-Hua Huang, et al.. (2021). Glycyrrhetinic acid derivatives as Zika virus inhibitors: Synthesis and antiviral activity in vitro. Bioorganic & Medicinal Chemistry. 41. 116204–116204. 34 indexed citations
4.
Балтина, Л. А., et al.. (2019). Paeoniflorin benzoates: synthesis and influence on learning and memory of aged rats in the passive avoidance task. Natural Product Research. 35(16). 2668–2676. 4 indexed citations
5.
Балтина, Л. А., Su‐Hua Huang, Hsueh‐Chou Lai, et al.. (2019). Glycyrrhizic acid derivatives as Dengue virus inhibitors. Bioorganic & Medicinal Chemistry Letters. 29(20). 126645–126645. 43 indexed citations
6.
Балтина, Л. А., et al.. (2015). Glycyrrhizic acid derivatives as influenza A/H1N1 virus inhibitors. Bioorganic & Medicinal Chemistry Letters. 25(8). 1742–1746. 50 indexed citations
7.
Lin, Jung‐Chung, et al.. (2008). Inhibitory effects of some derivatives of glycyrrhizic acid against Epstein-Barr virus infection: Structure–activity relationships. Antiviral Research. 79(1). 6–11. 66 indexed citations
8.
Балтина, Л. А., Martin Michaelis, Р. М. Кондратенко, et al.. (2005). Antiviral Activity of Glycyrrhizic Acid Derivatives against SARS−Coronavirus. Journal of Medicinal Chemistry. 48(4). 1256–1259. 331 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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