Baiba Švalbe

40 total papers · 832 total citations
34 papers, 646 citations indexed

About

Baiba Švalbe is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Baiba Švalbe has authored 34 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Clinical Biochemistry and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Baiba Švalbe's work include Metabolism and Genetic Disorders (15 papers), Receptor Mechanisms and Signaling (6 papers) and Mitochondrial Function and Pathology (6 papers). Baiba Švalbe is often cited by papers focused on Metabolism and Genetic Disorders (15 papers), Receptor Mechanisms and Signaling (6 papers) and Mitochondrial Function and Pathology (6 papers). Baiba Švalbe collaborates with scholars based in Latvia, Sweden and Russia. Baiba Švalbe's co-authors include Maija Dambrova, Edgars Liepinsh, Liga Zvejniece, Ivars Kalvinsh, Edijs Vavers, Reinis Vilšķe̅rsts, Solveiga Grı̄nberga, Elina Skapare, Helena Cirule and Janis Kuka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Baiba Švalbe

33 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
Baiba Švalbe 324 165 146 100 79 34 646
Fernanda Hansen 225 0.7× 161 1.0× 255 1.7× 132 1.3× 114 1.4× 37 694
Agnieszka Jankowska-Kulawy 253 0.8× 71 0.4× 250 1.7× 115 1.1× 66 0.8× 42 693
Herbert Barden 307 0.9× 53 0.3× 114 0.8× 114 1.1× 53 0.7× 26 788
Rongqiao He 257 0.8× 78 0.5× 176 1.2× 52 0.5× 112 1.4× 33 673
Zohara Sternberg 170 0.5× 122 0.7× 108 0.7× 35 0.3× 153 1.9× 39 708
Alexander Obrosov 170 0.5× 78 0.5× 342 2.3× 66 0.7× 52 0.7× 24 771
Ângela Zanatta 478 1.5× 311 1.9× 142 1.0× 79 0.8× 45 0.6× 46 756
Adolfo Daniel Rodríguez-Carrizález 235 0.7× 126 0.8× 208 1.4× 29 0.3× 82 1.0× 20 761
I. Ceballos 253 0.8× 83 0.5× 163 1.1× 38 0.4× 34 0.4× 21 587
Mitsuhiro Makino 203 0.6× 50 0.3× 147 1.0× 130 1.3× 80 1.0× 36 735

Countries citing papers authored by Baiba Švalbe

Since Specialization
Citations

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

Fields of papers citing papers by Baiba Švalbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baiba Švalbe

This figure shows the co-authorship network connecting the top 25 collaborators of Baiba Švalbe. A scholar is included among the top collaborators of Baiba Švalbe 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 Baiba Švalbe. Baiba Švalbe 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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2026