Sergey V. Galushko

503 total citations
7 papers, 442 citations indexed

About

Sergey V. Galushko is a scholar working on Organic Chemistry, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, Sergey V. Galushko has authored 7 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Molecular Biology and 4 papers in Pharmaceutical Science. Recurrent topics in Sergey V. Galushko's work include Fluorine in Organic Chemistry (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Chemical Synthesis and Analysis (3 papers). Sergey V. Galushko is often cited by papers focused on Fluorine in Organic Chemistry (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Chemical Synthesis and Analysis (3 papers). Sergey V. Galushko collaborates with scholars based in Russia, Ukraine and Japan. Sergey V. Galushko's co-authors include Vadim A. Soloshonok, Valery P. Kukhar, Alexander G. Kirilenko, Vytas K. Švedas, Patrick Lukulay, Elena V. Kozlova, Giuseppe Resnati, Alexander E. Sorochinsky, Igor Yu. Galaev and V. A. Solodenko and has published in prestigious journals such as Journal of Chromatography A, Tetrahedron Letters and Synlett.

In The Last Decade

Sergey V. Galushko

7 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey V. Galushko Russia 6 290 279 172 119 55 7 442
S.V. Galushko Ukraine 10 198 0.7× 167 0.6× 79 0.5× 213 1.8× 43 0.8× 25 447
Timothy T. Curran United States 16 225 0.8× 617 2.2× 57 0.3× 52 0.4× 90 1.6× 40 772
Nga M. United States 8 141 0.5× 242 0.9× 68 0.4× 34 0.3× 75 1.4× 15 385
Melinda Nonn Hungary 14 216 0.7× 432 1.5× 228 1.3× 87 0.7× 51 0.9× 48 547
John J. Venit United States 10 131 0.5× 166 0.6× 65 0.4× 73 0.6× 13 0.2× 16 359
G. Trummlitz Germany 5 122 0.4× 165 0.6× 90 0.5× 79 0.7× 19 0.3× 14 366
Gregory S. Coumbarides United Kingdom 12 143 0.5× 328 1.2× 76 0.4× 52 0.4× 104 1.9× 50 440
Robert E. Waltermire United States 13 220 0.8× 458 1.6× 19 0.1× 48 0.4× 88 1.6× 22 594
Jean‐Philippe Bouillon France 14 100 0.3× 469 1.7× 124 0.7× 30 0.3× 60 1.1× 42 538
Fenghe Qiu United States 8 81 0.3× 71 0.3× 42 0.2× 96 0.8× 24 0.4× 22 280

Countries citing papers authored by Sergey V. Galushko

Since Specialization
Citations

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

Fields of papers citing papers by Sergey V. Galushko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey V. Galushko

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

All Works

7 of 7 papers shown
1.
Galushko, Sergey V., et al.. (2014). Application of the Solvatic Model for Prediction of Retention in RP-LC for Multi-Step Gradient Profiles. Chromatographia. 78(13-14). 899–908. 3 indexed citations
2.
Lukulay, Patrick, et al.. (2006). Implementation of a rapid and automated high performance liquid chromatography method development strategy for pharmaceutical drug candidates. Journal of Chromatography A. 1107(1-2). 79–87. 73 indexed citations
3.
Soloshonok, Vadim A., et al.. (1995). Biocatalytic approach to enantiomerically pure β-amino acids. Tetrahedron Asymmetry. 6(7). 1601–1610. 83 indexed citations
4.
Soloshonok, Vadim A., Alexander G. Kirilenko, Sergey V. Galushko, & Valery P. Kukhar. (1994). Catalytic asymmetric synthesis of β-fluoroalkyl-β-amino acids via biomimetic [1,3]-proton shift reaction. Tetrahedron Letters. 35(28). 5063–5064. 88 indexed citations
5.
Soloshonok, Vadim A., Alexander G. Kirilenko, Valery P. Kukhar, et al.. (1994). Chemo-enzymatic approach to the synthesis of each of the four isomers of α-alkyl-β-fluoroalkyl-substituted β-amino acids. Tetrahedron Asymmetry. 5(7). 1225–1228. 80 indexed citations
6.
Soloshonok, Vadim A., Alexander G. Kirilenko, Sergey V. Galushko, et al.. (1994). Biocatalytic resolution of β-fluoroalkyl-β-amino acids. Tetrahedron Asymmetry. 5(6). 1119–1126. 73 indexed citations
7.
Soloshonok, Vadim A., Vytas K. Švedas, Valery P. Kukhar, et al.. (1993). An Enzymatic Entry to Enantiopure β-Amino Acids. Synlett. 1993(5). 339–341. 42 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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