Galegov Ga

257 total papers · 471 total citations
103 papers, 381 citations indexed

About

Galegov Ga is a scholar working on Epidemiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Galegov Ga has authored 103 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Epidemiology, 28 papers in Molecular Biology and 20 papers in Organic Chemistry. Recurrent topics in Galegov Ga's work include Herpesvirus Infections and Treatments (27 papers), HIV/AIDS drug development and treatment (15 papers) and Influenza Virus Research Studies (14 papers). Galegov Ga is often cited by papers focused on Herpesvirus Infections and Treatments (27 papers), HIV/AIDS drug development and treatment (15 papers) and Influenza Virus Research Studies (14 papers). Galegov Ga collaborates with scholars based in Russia, United Kingdom and United States. Galegov Ga's co-authors include В. Л. Андронова, Sergey N. Kochetkov, V. M. Zhdanov, A. N. Surovaya, Maxim V. Jasko, Marina K. Kukhanova, Irina D. Konstantinova, Inna L. Karpenko, В. П. Краснов and Valery N. Charushin and has published in prestigious journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Galegov Ga

95 papers receiving 362 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Galegov Ga	169	139	98	88	53	103	381
В. Л. Андронова	163 1.0×	142 1.0×	140 1.4×	104 1.2×	41 0.8×	68	424
Satish Kumar	154 0.9×	127 0.9×	39 0.4×	196 2.2×	28 0.5×	35	390
Kosaburo Sato	83 0.5×	114 0.8×	89 0.9×	84 1.0×	58 1.1×	33	332
Maxim V. Jasko	98 0.6×	244 1.8×	142 1.4×	170 1.9×	13 0.2×	57	429
B Rada	95 0.6×	127 0.9×	62 0.6×	126 1.4×	50 0.9×	39	358
Maria Vittoria Mauro	116 0.7×	75 0.5×	73 0.7×	62 0.7×	22 0.4×	33	387
Y. Fujimoto	114 0.7×	122 0.9×	49 0.5×	21 0.2×	71 1.3×	36	396
Xiaoqi Chen	57 0.3×	111 0.8×	63 0.6×	43 0.5×	72 1.4×	38	336
Deborah L. Chance	84 0.5×	198 1.4×	75 0.8×	38 0.4×	40 0.8×	27	402
Carlos Guerra	111 0.7×	134 1.0×	31 0.3×	117 1.3×	92 1.7×	28	432

Countries citing papers authored by Galegov Ga

Since Specialization

Citations

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

Fields of papers citing papers by Galegov Ga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Galegov Ga. 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 Galegov Ga. The network helps show where Galegov Ga may publish in the future.

Co-authorship network of co-authors of Galegov Ga

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

All Works

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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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