Yulia Baburina

78 total papers · 834 total citations
50 papers, 633 citations indexed

About

Yulia Baburina is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yulia Baburina has authored 50 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 11 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yulia Baburina's work include Mitochondrial Function and Pathology (31 papers), ATP Synthase and ATPases Research (17 papers) and Coenzyme Q10 studies and effects (9 papers). Yulia Baburina is often cited by papers focused on Mitochondrial Function and Pathology (31 papers), ATP Synthase and ATPases Research (17 papers) and Coenzyme Q10 studies and effects (9 papers). Yulia Baburina collaborates with scholars based in Russia, Germany and United States. Yulia Baburina's co-authors include Olga Krestinina, Tamara Azarashvili, Irina Odinokova, Dmitry Grachev, Georg Reiser, Rolf Stricker, В. С. Акатов, Alexey G. Kruglov, Yuri V. Evtodienko and И. С. Фадеева and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Neurochemistry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Yulia Baburina

46 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Yulia Baburina 450 115 85 78 60 50 633
Tamara Azarashvili 574 1.3× 121 1.1× 88 1.0× 41 0.5× 134 2.2× 34 720
Ayfer Yalçın 278 0.6× 137 1.2× 34 0.4× 45 0.6× 137 2.3× 37 706
Ji‐Hong Moon 342 0.8× 109 0.9× 48 0.6× 46 0.6× 39 0.7× 34 663
Alessio Metere 214 0.5× 128 1.1× 65 0.8× 24 0.3× 47 0.8× 34 729
Renata Barsacchi 273 0.6× 169 1.5× 97 1.1× 38 0.5× 31 0.5× 36 749
Won‐Jun Jang 384 0.9× 69 0.6× 52 0.6× 103 1.3× 65 1.1× 33 698
Frédéric Lamarche 316 0.7× 115 1.0× 59 0.7× 36 0.5× 56 0.9× 37 716
Roland B. GREGORY 498 1.1× 161 1.4× 35 0.4× 30 0.4× 185 3.1× 30 770
Hye‐Ock Jang 298 0.7× 129 1.1× 17 0.2× 53 0.7× 87 1.4× 39 742
Jun Wang 257 0.6× 144 1.3× 61 0.7× 40 0.5× 40 0.7× 41 750

Countries citing papers authored by Yulia Baburina

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Baburina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Baburina

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