Eugen V. Khomula

21 total papers · 475 total citations
19 papers, 371 citations indexed

About

Eugen V. Khomula is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Eugen V. Khomula has authored 19 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Eugen V. Khomula's work include Pain Mechanisms and Treatments (15 papers), Neuropeptides and Animal Physiology (10 papers) and Neuroscience and Neuropharmacology Research (4 papers). Eugen V. Khomula is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Neuropeptides and Animal Physiology (10 papers) and Neuroscience and Neuropharmacology Research (4 papers). Eugen V. Khomula collaborates with scholars based in United States and Ukraine. Eugen V. Khomula's co-authors include Jon D. Levine, Dionéia Araldi, Luiz F. Ferrari, Nana Voitenko, Pavel Belan, Viacheslav Viatchenko‐Karpinski, Ivan José Magayewski Bonet, Paul G. Green, Oliver Bogen and Ilya Kruglikov and has published in prestigious journals such as Journal of Neuroscience, Brain and Scientific Reports.

In The Last Decade

Eugen V. Khomula

19 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Eugen V. Khomula 242 148 119 51 44 19 371
Ivan José Magayewski Bonet 224 0.9× 155 1.0× 84 0.7× 37 0.7× 35 0.8× 28 446
Ryan B. Griggs 203 0.8× 131 0.9× 122 1.0× 29 0.6× 30 0.7× 16 385
Mutsuaki Ueda 190 0.8× 179 1.2× 188 1.6× 25 0.5× 46 1.0× 14 415
Thomas Lorivel 121 0.5× 142 1.0× 127 1.1× 62 1.2× 53 1.2× 19 414
Akihiko Furukawa 175 0.7× 113 0.8× 131 1.1× 32 0.6× 45 1.0× 19 396
Maria Maiarù 204 0.8× 111 0.8× 133 1.1× 23 0.5× 78 1.8× 14 399
María José López‐González 152 0.6× 153 1.0× 137 1.2× 35 0.7× 35 0.8× 15 380
Lingchi Xu 170 0.7× 98 0.7× 145 1.2× 29 0.6× 22 0.5× 12 384
A Tokunaga 237 1.0× 173 1.2× 61 0.5× 18 0.4× 52 1.2× 22 394
Viacheslav Viatchenko‐Karpinski 266 1.1× 159 1.1× 244 2.1× 20 0.4× 50 1.1× 22 438

Countries citing papers authored by Eugen V. Khomula

Since Specialization
Citations

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

Fields of papers citing papers by Eugen V. Khomula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugen V. Khomula

This figure shows the co-authorship network connecting the top 25 collaborators of Eugen V. Khomula. A scholar is included among the top collaborators of Eugen V. Khomula 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 Eugen V. Khomula. Eugen V. Khomula 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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