Ernestas Sirka

590 total citations
6 papers, 320 citations indexed

About

Ernestas Sirka is a scholar working on Physiology, Psychiatry and Mental health and Infectious Diseases. According to data from OpenAlex, Ernestas Sirka has authored 6 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 2 papers in Psychiatry and Mental health and 1 paper in Infectious Diseases. Recurrent topics in Ernestas Sirka's work include Alzheimer's disease research and treatments (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Oral microbiology and periodontitis research (1 paper). Ernestas Sirka is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Oral microbiology and periodontitis research (1 paper). Ernestas Sirka collaborates with scholars based in United Kingdom, Sweden and Italy. Ernestas Sirka's co-authors include Kevin Mills, John Hardy, Matthew E. Gegg, Kerri J. Kinghorn, Sebastian Grönke, Li Li, Ivana Bjedov, Linda Partridge, Jorge Iván Castillo-Quan and Nathaniel S. Woodling and has published in prestigious journals such as Journal of Neuroscience, Molecular Neurodegeneration and Translational Psychiatry.

In The Last Decade

Ernestas Sirka

6 papers receiving 313 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ernestas Sirka United Kingdom	5	179	133	62	58	54	6	320
Jennifer T. Saville Australia	15	250 1.4×	200 1.5×	72 1.2×	16 0.3×	103 1.9×	30	505
Catherine E. Vincent United States	11	57 0.3×	171 1.3×	42 0.7×	27 0.5×	45 0.8×	15	406
Zoë P. Van Acker Belgium	9	168 0.9×	142 1.1×	45 0.7×	24 0.4×	100 1.9×	14	342
Marcell Szabo United States	6	125 0.7×	133 1.0×	20 0.3×	34 0.6×	67 1.2×	8	309
Shelby E. Meier United States	9	194 1.1×	223 1.7×	53 0.9×	68 1.2×	93 1.7×	12	441
Christof Hiebel Germany	10	108 0.6×	186 1.4×	138 2.2×	21 0.4×	91 1.7×	11	441
Odetta Antico United Kingdom	7	92 0.5×	200 1.5×	90 1.5×	55 0.9×	23 0.4×	14	320
Aidan McGinnis United States	11	101 0.6×	281 2.1×	12 0.2×	25 0.4×	12 0.2×	16	481
Michelle K. Lin United States	5	69 0.4×	273 2.1×	33 0.5×	128 2.2×	29 0.5×	8	445
Helena R. Zimmermann United States	8	136 0.8×	199 1.5×	27 0.4×	23 0.4×	51 0.9×	8	305

Countries citing papers authored by Ernestas Sirka

Since Specialization

Citations

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

Fields of papers citing papers by Ernestas Sirka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernestas Sirka

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

All Works

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6 of 6 papers shown

Cryar, Adam, Oliver Lemke, Pinkus Tober‐Lau, et al.. (2022). A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study. EClinicalMedicine. 49. 101495–101495. 20 indexed citations

Sirka, Ernestas, et al.. (2017). Improving Fab’ fragment retention in an autonucleolytic Escherichia coli strain by swapping periplasmic nuclease translocation signal from OmpA to DsbA. Biotechnology Letters. 39(12). 1865–1873. 6 indexed citations

Paterson, Ross W., Wendy Heywood, Amanda Heslegrave, et al.. (2016). A targeted proteomic multiplex CSF assay identifies increased malate dehydrogenase and other neurodegenerative biomarkers in individuals with Alzheimer’s disease pathology. Translational Psychiatry. 6(11). e952–e952. 51 indexed citations

Kinghorn, Kerri J., Sebastian Grönke, Jorge Iván Castillo-Quan, et al.. (2016). ADrosophilaModel of Neuronopathic Gaucher Disease Demonstrates Lysosomal-Autophagic Defects and Altered mTOR Signalling and Is Functionally Rescued by Rapamycin. Journal of Neuroscience. 36(46). 11654–11670. 116 indexed citations

Heywood, Wendy, Anna Baud, Ernestas Sirka, et al.. (2016). A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status. Journal of Visualized Experiments. 3 indexed citations

Heywood, Wendy, Daniela Galimberti, Ernestas Sirka, et al.. (2015). Identification of novel CSF biomarkers for neurodegeneration and their validation by a high-throughput multiplexed targeted proteomic assay. Molecular Neurodegeneration. 10(1). 20–20. 124 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.

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