Vahur Ööpik

68 total papers · 933 total citations
48 papers, 693 citations indexed

About

Vahur Ööpik is a scholar working on Cell Biology, Physiology and Rehabilitation. According to data from OpenAlex, Vahur Ööpik has authored 48 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cell Biology, 22 papers in Physiology and 21 papers in Rehabilitation. Recurrent topics in Vahur Ööpik's work include Muscle metabolism and nutrition (26 papers), Exercise and Physiological Responses (21 papers) and Thermoregulation and physiological responses (16 papers). Vahur Ööpik is often cited by papers focused on Muscle metabolism and nutrition (26 papers), Exercise and Physiological Responses (21 papers) and Thermoregulation and physiological responses (16 papers). Vahur Ööpik collaborates with scholars based in Estonia, Spain and United States. Vahur Ööpik's co-authors include Saima Timpmann, Mati Pääsuke, Jaan Ereline, Eve Unt, Andres Burk, Kairi Kreegipuu, Kalle Karelson, Bernardo Requena, Helena Gapeyeva and Jüri Allïk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and British Journal of Sports Medicine.

In The Last Decade

Vahur Ööpik

47 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Vahur Ööpik 322 288 256 197 134 48 693
Joanne Hankey 305 0.9× 303 1.1× 242 0.9× 284 1.4× 82 0.6× 23 755
Robert Pritchett 163 0.5× 226 0.8× 257 1.0× 174 0.9× 131 1.0× 39 623
D. G. Bell 259 0.8× 200 0.7× 122 0.5× 143 0.7× 64 0.5× 28 654
Gülfem Ersöz 257 0.8× 128 0.4× 438 1.7× 159 0.8× 65 0.5× 44 749
Jennifer F. Klau 338 1.0× 288 1.0× 156 0.6× 214 1.1× 112 0.8× 16 787
Nassim Hamouti 414 1.3× 288 1.0× 191 0.7× 196 1.0× 191 1.4× 30 728
Phillip Watson 311 1.0× 232 0.8× 141 0.6× 232 1.2× 85 0.6× 13 623
Tácito Pessoa de Souza 241 0.7× 261 0.9× 245 1.0× 148 0.8× 116 0.9× 69 768
S. G. DaSilva 311 1.0× 178 0.6× 294 1.1× 84 0.4× 298 2.2× 33 772
J. Luke Pryor 256 0.8× 162 0.6× 265 1.0× 240 1.2× 97 0.7× 41 722

Countries citing papers authored by Vahur Ööpik

Since Specialization
Citations

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

Fields of papers citing papers by Vahur Ööpik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahur Ööpik

This figure shows the co-authorship network connecting the top 25 collaborators of Vahur Ööpik. A scholar is included among the top collaborators of Vahur Ööpik 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 Vahur Ööpik. Vahur Ööpik 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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