Marina Bakay

3.5k total citations
27 papers, 1.8k citations indexed

About

Marina Bakay is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Marina Bakay has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Genetics. Recurrent topics in Marina Bakay's work include Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (4 papers) and Gene expression and cancer classification (4 papers). Marina Bakay is often cited by papers focused on Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (4 papers) and Gene expression and cancer classification (4 papers). Marina Bakay collaborates with scholars based in United States, Sweden and Australia. Marina Bakay's co-authors include Eric P. Hoffman, Håkon Håkonarson, Po Zhao, Yiwen Chen, Rahul Pandey, Robert J. Levy, Rashmi Rawat, Kanneboyina Nagaraju, Rongye Shi and Rahul Pandey and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Marina Bakay

26 papers receiving 1.8k citations

Peers

Marina Bakay

GENET

SURGE

PHYSI

CCM

Noël Dybdal United States

Tiziana Crepaldi Italy

Marco López-Ilasaca United States

Gabriela Aust Germany

Christina H. Stuelten United States

Maryam Clausen Sweden

Sebastian Schäfer Singapore

Tristan R. McKay United Kingdom

Koichi Nishiyama Japan

D. S. Grant United States

Noël Dybdal United States

Marina Bakay

673 ×0.7

325 ×0.7

GENET

277 ×0.7

SURGE

109 ×0.6

PHYSI

150 ×0.8

CCM

Citations per year, relative to Marina Bakay Marina Bakay (= 1×) peers Noël Dybdal

Countries citing papers authored by Marina Bakay

Since Specialization

Citations

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

Fields of papers citing papers by Marina Bakay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Bakay

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pandey, Rahul, Marina Bakay, & Håkon Håkonarson. (2025). Suppressor of Cytokine Signaling Mimetics as a Therapeutic Approach in Autoimmune Encephalitis. European Journal of Immunology. 55(8). e70023–e70023.

Pandey, Rahul, Marina Bakay, & Håkon Håkonarson. (2023). CLEC16A—An Emerging Master Regulator of Autoimmunity and Neurodegeneration. International Journal of Molecular Sciences. 24(9). 8224–8224. 15 indexed citations

Pandey, Rahul, Marina Bakay, & Håkon Håkonarson. (2023). SOCS-JAK-STAT inhibitors and SOCS mimetics as treatment options for autoimmune uveitis, psoriasis, lupus, and autoimmune encephalitis. Frontiers in Immunology. 14. 1271102–1271102. 27 indexed citations

Pandey, Rahul, et al.. (2021). JAK/STAT inhibitor therapy partially rescues the lipodystrophic autoimmune phenotype in Clec16a KO mice. Scientific Reports. 11(1). 7372–7372. 9 indexed citations

Hain, Heather S., Rahul Pandey, Marina Bakay, et al.. (2021). Inducible knockout of Clec16a in mice results in sensory neurodegeneration. Scientific Reports. 11(1). 9319–9319. 7 indexed citations

Chang, Xiao, Marina Bakay, Yichuan Liu, et al.. (2020). Mitochondrial DNA Haplogroups and Susceptibility to Neuroblastoma. JNCI Journal of the National Cancer Institute. 112(12). 1259–1266. 9 indexed citations

Bakay, Marina, Rahul Pandey, Struan F.A. Grant, & Håkon Håkonarson. (2019). The Genetic Contribution to Type 1 Diabetes. Current Diabetes Reports. 19(11). 116–116. 50 indexed citations

Pandey, Rahul, Marina Bakay, Heather S. Hain, et al.. (2019). The Autoimmune Disorder Susceptibility Gene CLEC16A Restrains NK Cell Function in YTS NK Cell Line and Clec16a Knockout Mice. Frontiers in Immunology. 10. 68–68. 14 indexed citations

Pandey, Rahul, Marina Bakay, Heather S. Hain, et al.. (2018). CLEC16A regulates splenocyte and NK cell function in part through MEK signaling. PLoS ONE. 13(9). e0203952–e0203952. 15 indexed citations

10.

Soleimanpour, Scott A., Aditi Gupta, Marina Bakay, et al.. (2014). The Diabetes Susceptibility Gene Clec16a Regulates Mitophagy. Cell. 157(7). 1577–1590. 158 indexed citations

11.

Balachandran, Kartik, Marina Bakay, Jeanne M. Connolly, et al.. (2011). Aortic Valve Cyclic Stretch Causes Increased Remodeling Activity and Enhanced Serotonin Receptor Responsiveness. The Annals of Thoracic Surgery. 92(1). 147–153. 32 indexed citations

12.

Bradfield, Jonathan P., Hui‐Qi Qu, Kai Wang, et al.. (2011). A Genome-Wide Meta-Analysis of Six Type 1 Diabetes Cohorts Identifies Multiple Associated Loci. PLoS Genetics. 7(9). e1002293–e1002293. 229 indexed citations

13.

Connolly, Jeanne M., Marina Bakay, Ivan S. Alferiev, et al.. (2011). Triglycidyl Amine Crosslinking Combined With Ethanol Inhibits Bioprosthetic Heart Valve Calcification. The Annals of Thoracic Surgery. 92(3). 858–865. 25 indexed citations

14.

Connolly, Jeanne M., Marina Bakay, James Fulmer, et al.. (2009). Fenfluramine Disrupts the Mitral Valve Interstitial Cell Response to Serotonin. American Journal Of Pathology. 175(3). 988–997. 36 indexed citations

15.

Kozlov, Serguei, Lídia Hernandez, Po Zhao, et al.. (2006). Loss of emerin at the nuclear envelope disrupts the Rb1/E2F and MyoD pathways during muscle regeneration. Human Molecular Genetics. 15(4). 637–651. 182 indexed citations

16.

Wang, Zuyi, Yue Wang, Jianhua Xuan, et al.. (2006). Optimized multilayer perceptrons for molecular classification and diagnosis using genomic data. Bioinformatics. 22(6). 755–761. 23 indexed citations

17.

Fischer, M. Dominik, Murat T. Budak, Marina Bakay, et al.. (2005). Definition of the unique human extraocular muscle allotype by expression profiling. Physiological Genomics. 22(3). 283–291. 71 indexed citations

18.

Seo, Jinwook, Marina Bakay, Yiwen Chen, et al.. (2004). Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays. Bioinformatics. 20(16). 2534–2544. 97 indexed citations

19.

Bakay, Marina, et al.. (2002). Sources of variability and effect of experimental approach on expression profiling data interpretation. BMC Bioinformatics. 3(1). 4–4. 141 indexed citations

20.

Bakay, Marina, et al.. (2002). A web-accessible complete transcriptome of normal human and DMD muscle. Neuromuscular Disorders. 12. S125–S141. 153 indexed citations

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.

Explore authors with similar magnitude of impact