Maija Dambrova

8.1k total citations · 1 hit paper
173 papers, 4.2k citations indexed

About

Maija Dambrova is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Maija Dambrova has authored 173 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 56 papers in Clinical Biochemistry and 33 papers in Physiology. Recurrent topics in Maija Dambrova's work include Metabolism and Genetic Disorders (50 papers), Metabolomics and Mass Spectrometry Studies (28 papers) and Mitochondrial Function and Pathology (23 papers). Maija Dambrova is often cited by papers focused on Metabolism and Genetic Disorders (50 papers), Metabolomics and Mass Spectrometry Studies (28 papers) and Mitochondrial Function and Pathology (23 papers). Maija Dambrova collaborates with scholars based in Latvia, Sweden and Russia. Maija Dambrova's co-authors include Edgars Liepinsh, Marina Makrecka‐Kuka, Janis Kuka, Solveiga Grı̄nberga, Reinis Vilšķe̅rsts, Liga Zvejniece, Osvalds Pugovičs, Helena Cirule, Ivars Kalvinsh and Elīna Makarova and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Maija Dambrova

166 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Potential, Drug Targets, and Clinical Trials

2022 272 citations Maija Dambrova, Marina Makrecka‐Kuka et al. profile →

Peers

Countries citing papers authored by Maija Dambrova

Since Specialization

Citations

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

Fields of papers citing papers by Maija Dambrova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maija Dambrova

This figure shows the co-authorship network connecting the top 25 collaborators of Maija Dambrova. A scholar is included among the top collaborators of Maija Dambrova 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 Maija Dambrova. Maija Dambrova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Extensive analysis of pollutant interactions: Identification of deleterious synergistic effects at environmentally relevant dose levels using Drosophila and mammalian cells 2025 ·The Science of The Total Environment ·Francisco Alejandro Lagunas‐Rangel, (unknown), Sifang Liao, (unknown), (unknown), (unknown), (unknown), Wen Liu, Robert Fredriksson, (unknown), Ola Spjuth, Jānis Kloviņš, Maija Dambrova, Błażej Kudłak, Claes Andersson, Helgi B. Schiöth	1
2	Fatty acid β-oxidation in brain mitochondria: Insights from high-resolution respirometry in mouse, rat and Drosophila brain, ischemia and aging models 2024 ·Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease ·(unknown), Cristiane Cecatto, (unknown), (unknown), Liga Zvejniece, (unknown), Carolina Doerrier, Maija Dambrova, Marina Makrecka‐Kuka, Erich Gnaiger, Edgars Liepinsh	1
3	Off‐target effects of statins: molecular mechanisms, side effects and the emerging role of kinases 2024 ·British Journal of Pharmacology ·Francisco Alejandro Lagunas‐Rangel, Edgars Liepinsh, Robert Fredriksson, (unknown), Michael J. Williams, Maija Dambrova, Jörgen Jönsson, Helgi B. Schiöth	18
4	Conceptual foundations of acetylcarnitine supplementation in neuropsychiatric long COVID syndrome: a narrative review 2024 ·European Archives of Psychiatry and Clinical Neuroscience ·Dario Lucas Helbing, (unknown), (unknown), Edgars Liepinsh, (unknown), Zümrüt Duygu Şen, Liga Zvejniece, (unknown), (unknown), Helgi B. Schiöth, Martin Walter, Maija Dambrova, Bianca Besteher	5
5	Phenolic Content and Anti-Inflammatory Activity of Cultivated and Wild-Type Galium odoratum Extracts in Murine Bone Marrow-Derived Macrophages 2024 ·Antioxidants ·(unknown), (unknown), Arta Kronberga, (unknown), Ilva Nakurte, (unknown), (unknown), Osvalds Pugovičs, Solveiga Grı̄nberga, Maija Dambrova, (unknown)	3
6	Heart-Type Fatty Acid Binding Protein Binds Long-Chain Acylcarnitines and Protects against Lipotoxicity 2023 ·International Journal of Molecular Sciences ·(unknown), (unknown), Aiga Grandāne, (unknown), (unknown), Kārlis Vilks, Maija Dambrova, Kristaps Jaudzems, Edgars Liepinsh	9
7	Decreased long-chain acylcarnitine content increases mitochondrial coupling efficiency and prevents ischemia-induced brain damage in rats 2023 ·Biomedicine & Pharmacotherapy ·Liga Zvejniece, Baiba Švalbe, Edijs Vavers, (unknown), Solveiga Grı̄nberga, (unknown), Eduards Sevostjanovs, Edgars Liepinsh, Maija Dambrova	4
8	Rodent Heart and Brain Tissue Preparation for Digital Macro Photography after Ischemia-reperfusion 2022 ·Journal of Visualized Experiments ·Edgars Liepinsh, Janis Kuka, Liga Zvejniece, Reinis Vilšķe̅rsts, Maija Dambrova	1
9	Antidepressive-like Behavior-Related Metabolomic Signatures of Sigma-1 Receptor Knockout Mice 2022 ·Biomedicines ·Baiba Švalbe, (unknown), (unknown), Kārlis Vilks, Edijs Vavers, José Miguel Vela, Maija Dambrova, Liga Zvejniece	5
10	Intracellular dynamics of the Sigma-1 receptor observed with super-resolution imaging microscopy 2022 ·PLoS ONE ·Sergei Kopanchuk, Edijs Vavers, Santa Veikšina, (unknown), Liga Zvejniece, Maija Dambrova, Ago Rinken	9
11	Reduced GFAP Expression in Bergmann Glial Cells in the Cerebellum of Sigma-1 Receptor Knockout Mice Determines the Neurobehavioral Outcomes after Traumatic Brain Injury 2021 ·International Journal of Molecular Sciences ·(unknown), Edijs Vavers, Baiba Švalbe, (unknown), (unknown), (unknown), Solveiga Grı̄nberga, (unknown), Maija Dambrova, Liga Zvejniece	7
12	Protective Effects of Meldonium in Experimental Models of Cardiovascular Complications with a Potential Application in COVID-19 2021 ·International Journal of Molecular Sciences ·Reinis Vilšķe̅rsts, (unknown), (unknown), (unknown), Kārlis Vilks, Helena Cirule, Andris Skride, Marina Makrecka‐Kuka, Edgars Liepinsh, Maija Dambrova	10
13	Long-Chain Acylcarnitines Decrease the Phosphorylation of the Insulin Receptor at Tyr1151 Through a PTP1B-Dependent Mechanism 2021 ·International Journal of Molecular Sciences ·Kārlis Vilks, (unknown), Marina Makrecka‐Kuka, Mārtiņš Katkevičs, Eduards Sevostjanovs, Aiga Grandāne, Maija Dambrova, Edgars Liepinsh	9
14	Low cardiac content of long-chain acylcarnitines in TMLHE knockout mice prevents ischaemia-reperfusion-induced mitochondrial and cardiac damage 2021 ·Free Radical Biology and Medicine ·Edgars Liepinsh, Janis Kuka, Kārlis Vilks, Baiba Švalbe, (unknown), Reinis Vilšķe̅rsts, Eduards Sevostjanovs, (unknown), Valērija Groma, Solveiga Grı̄nberga, Mario Plaas, Marina Makrecka‐Kuka, Maija Dambrova	11
15	Chemical composition of Prunus padus L. flower extract and its anti-inflammatory activities in primary bone marrow-derived macrophages 2020 ·Journal of Ethnopharmacology ·(unknown), (unknown), Marina Makrecka‐Kuka, (unknown), Kārlis Pajuste, (unknown), (unknown), Solveiga Grı̄nberga, Osvalds Pugovičs, Maija Dambrova	9
16	Cardiac metabolism as a driver and therapeutic target of myocardial infarction 2020 ·Journal of Cellular and Molecular Medicine ·Coert J. Zuurbier, Luc Bertrand, (unknown), Ioanna Andreadou, Marisol Ruiz‐Meana, Nichlas Riise Jespersen, Duvaraka Kula‐Alwar, Hiran A. Prag, (unknown), Maija Dambrova, Christophe Montessuit, Tuuli Käämbre, Edgars Liepinsh, Paul S. Brookes, Thomas Krieg	146
17	Mitochondrial-Protective Effects of R-Phenibut after Experimental Traumatic Brain Injury 2020 ·Oxidative Medicine and Cellular Longevity ·(unknown), (unknown), (unknown), Solveiga Grı̄nberga, Edijs Vavers, Marina Makrecka‐Kuka, Baiba Švalbe, Liga Zvejniece, Maija Dambrova	7
18	Data on analysis of MK-801 bioavailability in mouse plasma and brain tissue by ultra-performance liquid chromatography-tandem mass spectrometry 2019 ·SHILAP Revista de lepidopterología ·Baiba Švalbe, Solveiga Grı̄nberga, (unknown), Edijs Vavers, (unknown), Eduards Sevostjanovs, Maija Dambrova, Liga Zvejniece	3
19	Skull Fractures Induce Neuroinflammation and Worsen Outcomes after Closed Head Injury in Mice 2019 ·Journal of Neurotrauma ·Liga Zvejniece, (unknown), Edijs Vavers, (unknown), Janis Kuka, Baiba Švalbe, (unknown), Christiane Albert‐Weissenberger, Anna‐Leena Sirén, Nikolaus Plesnila, Maija Dambrova	20
20	Quantitative analysis of phenibut in rat brain tissue extracts by liquid chromatography–tandem mass spectrometry 2008 ·Biomedical Chromatography ·Solveiga Grı̄nberga, Liga Zvejniece, Edgars Liepinsh, Maija Dambrova, Osvalds Pugovičs	6

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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