Gergana M. Deevska

19 total papers · 452 total citations
13 papers, 359 citations indexed

About

Gergana M. Deevska is a scholar working on Molecular Biology, Biochemistry and Surgery. According to data from OpenAlex, Gergana M. Deevska has authored 13 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biochemistry and 3 papers in Surgery. Recurrent topics in Gergana M. Deevska's work include Sphingolipid Metabolism and Signaling (10 papers), Lipid metabolism and biosynthesis (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Gergana M. Deevska is often cited by papers focused on Sphingolipid Metabolism and Signaling (10 papers), Lipid metabolism and biosynthesis (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Gergana M. Deevska collaborates with scholars based in United States, United Kingdom and Bulgaria. Gergana M. Deevska's co-authors include Mariana Nikolova‐Karakashian, Alexander Karakashian, Andrew J. Morris, Manjula Sunkara, Alfred H. Merrill, Leonardo F. Ferreira, Demetra D. Christou, Alan Daugherty, Jeung‐Ki Yoo and Natalia V. Giltiay and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Neuroscience.

In The Last Decade

Gergana M. Deevska

13 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Gergana M. Deevska 244 78 69 60 55 13 359
Elite Possik 190 0.8× 74 0.9× 77 1.1× 43 0.7× 45 0.8× 18 375
S. Eleonore Koehler 116 0.5× 106 1.4× 75 1.1× 28 0.5× 82 1.5× 10 350
Lisa Ann Smith 189 0.8× 92 1.2× 85 1.2× 46 0.8× 31 0.6× 8 370
Paula Urquhart 173 0.7× 45 0.6× 36 0.5× 53 0.9× 29 0.5× 11 380
Magnus Hallberg 216 0.9× 187 2.4× 85 1.2× 35 0.6× 44 0.8× 7 374
G. L. White 151 0.6× 52 0.7× 65 0.9× 67 1.1× 37 0.7× 12 364
Souade Ikhlef 210 0.9× 39 0.5× 39 0.6× 132 2.2× 48 0.9× 12 349
David P. Blackwood 135 0.6× 56 0.7× 37 0.5× 33 0.6× 52 0.9× 16 362
Ahmed Aljohani 132 0.5× 68 0.9× 85 1.2× 26 0.4× 34 0.6× 13 303
Wei Wang 236 1.0× 51 0.7× 95 1.4× 42 0.7× 29 0.5× 17 381

Countries citing papers authored by Gergana M. Deevska

Since Specialization
Citations

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

Fields of papers citing papers by Gergana M. Deevska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gergana M. Deevska. 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 Gergana M. Deevska. The network helps show where Gergana M. Deevska may publish in the future.

Co-authorship network of co-authors of Gergana M. Deevska

This figure shows the co-authorship network connecting the top 25 collaborators of Gergana M. Deevska. A scholar is included among the top collaborators of Gergana M. Deevska 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 Gergana M. Deevska. Gergana M. Deevska 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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