Algirdas Utkus

2.1k total citations
112 papers, 1.0k citations indexed

About

Algirdas Utkus is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Algirdas Utkus has authored 112 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 45 papers in Genetics and 10 papers in Genetics. Recurrent topics in Algirdas Utkus's work include Genomic variations and chromosomal abnormalities (20 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Genomics and Rare Diseases (10 papers). Algirdas Utkus is often cited by papers focused on Genomic variations and chromosomal abnormalities (20 papers), Genetics and Neurodevelopmental Disorders (11 papers) and Genomics and Rare Diseases (10 papers). Algirdas Utkus collaborates with scholars based in Lithuania, United States and United Kingdom. Algirdas Utkus's co-authors include Vaidutis Kučinskas, Eglė Preikšaitienė, Valentina Ginevičienė, Birutė Burnytė, Audronė Jakaitienė, Laima Ambrozaitytė, John M. Opitz, Erinija Pranckevičienė, Jurgita Songailienė and Dalius Jatužis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and Nutrients.

In The Last Decade

Algirdas Utkus

104 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Algirdas Utkus Lithuania 17 425 368 108 100 95 112 1.0k
Han Yan China 19 416 1.0× 532 1.4× 39 0.4× 57 0.6× 50 0.5× 45 1.1k
P D’Eufemia Italy 19 371 0.9× 286 0.8× 35 0.3× 128 1.3× 53 0.6× 55 1.2k
Mauro Celli Italy 17 442 1.0× 216 0.6× 30 0.3× 164 1.6× 50 0.5× 53 1.0k
Vandana Rai India 22 224 0.5× 266 0.7× 57 0.5× 148 1.5× 69 0.7× 79 1.3k
Bilgin Yüksel Türkiye 22 709 1.7× 873 2.4× 39 0.4× 178 1.8× 64 0.7× 96 2.2k
Hong Pan China 25 529 1.2× 1.1k 3.1× 88 0.8× 76 0.8× 37 0.4× 123 2.0k
Luiz Alexandre Viana Magno Brazil 17 235 0.6× 480 1.3× 42 0.4× 103 1.0× 53 0.6× 41 1.3k
Jolanta Chmielowiec Poland 14 193 0.5× 480 1.3× 27 0.3× 157 1.6× 75 0.8× 75 982
Behrouz Salehian United States 15 121 0.3× 475 1.3× 58 0.5× 102 1.0× 193 2.0× 31 1.3k
Liyong Deng United States 18 143 0.3× 499 1.4× 92 0.9× 327 3.3× 36 0.4× 30 1.3k

Countries citing papers authored by Algirdas Utkus

Since Specialization
Citations

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

Fields of papers citing papers by Algirdas Utkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Algirdas Utkus

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

All Works

20 of 20 papers shown
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Songailienė, Jurgita, et al.. (2023). Association of hair glucocorticoid levels with sleep quality indicators: a pilot study in apparently healthy perimenopausal and menopausal women. Frontiers in Endocrinology. 14. 1186014–1186014. 6 indexed citations
3.
Utkus, Algirdas, et al.. (2023). A De Novo 8q22.2q22.3 Interstitial Microdeletion in a Girl with Developmental Delay and Congenital Defects. Medicina. 59(6). 1156–1156. 1 indexed citations
4.
Ambrozaitytė, Laima, et al.. (2023). Implementing Core Genes and an Omnigenic Model for Behaviour Traits Prediction in Genomics. Genes. 14(8). 1630–1630. 4 indexed citations
5.
Sasnauskienė, Aušra, et al.. (2023). Molecular and Functional Characterisation of a Novel Intragenic 12q24.21 Deletion Resulting in MED13L Haploinsufficiency Syndrome. Medicina. 59(7). 1225–1225. 2 indexed citations
6.
Žakauskienė, Urtė, Diana Sukackienė, Algirdas Utkus, et al.. (2022). Sodium, Potassium and Iodine Intake in an Adult Population of Lithuania. Nutrients. 14(18). 3817–3817. 3 indexed citations
7.
Barysienė, Jūratė, et al.. (2021). Aborted Cardiac Arrest in LQT2 Related to Novel KCNH2 (hERG) Variant Identified in One Lithuanian Family. Medicina. 57(7). 721–721. 1 indexed citations
8.
Pranckevičienė, Erinija, et al.. (2021). Total Genotype Score Modelling of Polygenic Endurance-Power Profiles in Lithuanian Elite Athletes. Genes. 12(7). 1067–1067. 13 indexed citations
9.
Bekešienė, Svajonė, et al.. (2021). The Association between Endogenous Hair Steroid Hormones and Social Environmental Factors in a Group of Conscripts during Basic Military Training. International Journal of Environmental Research and Public Health. 18(22). 12239–12239. 9 indexed citations
10.
Painous, Cèlia, Nienke J.H. van Os, Anna Delamarre, et al.. (2020). Management of rare movement disorders in Europe: outcome of surveys of the European Reference Network for Rare Neurological Diseases. European Journal of Neurology. 27(8). 1493–1500. 14 indexed citations
11.
Utkus, Algirdas, et al.. (2020). A case report of familial 4q13.3 microdeletion in three individuals with syndromic intellectual disability. BMC Medical Genomics. 13(1). 63–63. 4 indexed citations
12.
DeLuca, David S., Sabine Wrenger, Algirdas Utkus, et al.. (2019). SERPINA1 gene polymorphisms in a population‐based ALSPAC cohort. Pediatric Pulmonology. 54(9). 1474–1478. 8 indexed citations
13.
Characiejus, Dainius, et al.. (2019). Homicide victims and mechanisms in Lithuania from 2004 to 2016. Journal of Forensic and Legal Medicine. 65. 27–31. 7 indexed citations
14.
15.
Kačergius, Tomas, Saleh Abu‐Lafi, Mahmoud Rayan, et al.. (2017). Inhibitory capacity of Rhus coriaria L. extract and its major component methyl gallate on Streptococcus mutans biofilm formation by optical profilometry: Potential applications for oral health. Molecular Medicine Reports. 16(1). 949–956. 37 indexed citations
16.
Jakaitienė, Audronė, Eglė Preikšaitienė, Birutė Burnytė, et al.. (2016). The high frequency of GJB2 gene mutation c.313_326del14 suggests its possible origin in ancestors of Lithuanian population. BMC Genetics. 17(1). 45–45. 18 indexed citations
17.
Ginevičienė, Valentina, Audronė Jakaitienė, Anastasiya M. Druzhevskaya, et al.. (2016). Association analysis of ACE, ACTN3 and PPARGC1A gene polymorphisms in two cohorts of European strength and power athletes. Biology of Sport. 33(3). 199–206. 52 indexed citations
18.
Kasnauskienė, Jūratė, et al.. (2012). Two New de novo Interstitial Duplications Covering 2p14–p22.1: Clinical and Molecular Analysis. Cytogenetic and Genome Research. 139(1). 52–58. 2 indexed citations
19.
Matulevičienė, Aušra, et al.. (2007). Orofacial clefts with associated anomalies in Lithuania. Acta medica Lituanica. 14(1). 17–23. 2 indexed citations
20.
Giannattasio, Sergio, Antonella Bobba, Rosa Anna Vacca, et al.. (2006). Molecular Basis of Cystic Fibrosis in Lithuania: Incomplete CFTR Mutation Detection by PCR-Based Screening Protocols. Genetic Testing. 10(3). 169–173. 3 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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