Georgios V. Gkoutos

11.5k total citations · 1 hit paper
199 papers, 4.5k citations indexed

About

Georgios V. Gkoutos is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Georgios V. Gkoutos has authored 199 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 54 papers in Artificial Intelligence and 30 papers in Genetics. Recurrent topics in Georgios V. Gkoutos's work include Biomedical Text Mining and Ontologies (77 papers), Bioinformatics and Genomic Networks (55 papers) and Semantic Web and Ontologies (39 papers). Georgios V. Gkoutos is often cited by papers focused on Biomedical Text Mining and Ontologies (77 papers), Bioinformatics and Genomic Networks (55 papers) and Semantic Web and Ontologies (39 papers). Georgios V. Gkoutos collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Georgios V. Gkoutos's co-authors include Robert Hoehndorf, Paul N. Schofield, Chris Mungall, Melissa Haendel, Suzanna Lewis, Carlo Torniai, Animesh Acharjee, John M. Hancock, Michael Ashburner and Ann‐Marie Mallon and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Georgios V. Gkoutos

195 papers receiving 4.4k citations

Hit Papers

Uberon, an integrative multi-species anatomy ontology 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgios V. Gkoutos United Kingdom 34 2.8k 1.1k 745 438 280 199 4.5k
Paola Sebastiani United States 50 2.9k 1.0× 611 0.6× 1.1k 1.5× 138 0.3× 423 1.5× 229 8.6k
Degui Zhi United States 33 1.8k 0.6× 628 0.6× 882 1.2× 112 0.3× 321 1.1× 131 3.8k
Balasubramanian Narasimhan United States 30 2.4k 0.9× 559 0.5× 600 0.8× 183 0.4× 404 1.4× 67 5.5k
Kathleen F. Kerr United States 32 3.1k 1.1× 283 0.3× 779 1.0× 528 1.2× 681 2.4× 113 6.4k
Borut Peterlin Slovenia 35 2.1k 0.7× 264 0.2× 1.2k 1.6× 346 0.8× 237 0.8× 302 4.7k
Sean D. Mooney United States 39 3.7k 1.3× 270 0.3× 1.3k 1.7× 164 0.4× 414 1.5× 140 6.0k
Joshua W. K. Ho Australia 36 2.6k 0.9× 357 0.3× 358 0.5× 317 0.7× 224 0.8× 141 4.4k
Casey S. Greene United States 38 2.8k 1.0× 699 0.7× 787 1.1× 75 0.2× 200 0.7× 144 4.9k
Ivan G. Costa Germany 39 3.0k 1.1× 634 0.6× 327 0.4× 108 0.2× 532 1.9× 124 4.9k

Countries citing papers authored by Georgios V. Gkoutos

Since Specialization
Citations

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

Fields of papers citing papers by Georgios V. Gkoutos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgios V. Gkoutos. 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 Georgios V. Gkoutos. The network helps show where Georgios V. Gkoutos may publish in the future.

Co-authorship network of co-authors of Georgios V. Gkoutos

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios V. Gkoutos. A scholar is included among the top collaborators of Georgios V. Gkoutos 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 Georgios V. Gkoutos. Georgios V. Gkoutos 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
1.
Wang, Jie, et al.. (2025). Prognostic Value of Myocardial T1 Mapping for Predicting Adverse Events in Hypertrophic Cardiomyopathy. Circulation Cardiovascular Imaging. 18(3). e017174–e017174. 4 indexed citations
2.
Gkoutos, Georgios V., et al.. (2024). Explainable AI-prioritized plasma and fecal metabolites in inflammatory bowel disease and their dietary associations. iScience. 27(7). 110298–110298. 10 indexed citations
3.
Barsky, Andrey, Ines Kralj‐Hans, Simrat Gill, et al.. (2024). Remote monitoring of atrial fibrillation recurrence using mHealth technology (REMOTE-AF). European Heart Journal - Digital Health. 5(3). 344–355. 3 indexed citations
4.
Gkoutos, Georgios V., et al.. (2024). Analysis of translesion polymerases in colorectal cancer cells following cetuximab treatment: A network perspective. Cancer Medicine. 13(1). e6945–e6945. 2 indexed citations
5.
Singhal, Rishi, Victor Roth Cardoso, Tom Wiggins, et al.. (2023). Safety outcomes of bariatric surgery in patients with advanced organ disease: the ONWARD study: a prospective cohort study. International Journal of Surgery. 110(1). 95–110. 2 indexed citations
6.
Xu, Yuanwei, Nabeela Malik, Saisakul Chernbumroong, et al.. (2023). Triage in major incidents: development and external validation of novel machine learning-derived primary and secondary triage tools. Emergency Medicine Journal. 41(3). 176–183. 2 indexed citations
7.
Gill, Simrat, Karina V Bunting, Claudio Sartini, et al.. (2022). Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis. Heart. 108(20). 1600–1607. 34 indexed citations
8.
Acharjee, Animesh, et al.. (2022). The diagnostic potential and barriers of microbiome based therapeutics. Diagnosis. 9(4). 411–420. 11 indexed citations
9.
Xu, Yuanwei, et al.. (2021). Integration of the Microbiome, Metabolome and Transcriptomics Data Identified Novel Metabolic Pathway Regulation in Colorectal Cancer. International Journal of Molecular Sciences. 22(11). 5763–5763. 21 indexed citations
10.
Horniblow, Richard D., Dario Leonardo Balacco, Animesh Acharjee, et al.. (2021). Iron-mediated epigenetic activation of NRF2 targets. The Journal of Nutritional Biochemistry. 101. 108929–108929. 27 indexed citations
11.
Gkoutos, Georgios V., et al.. (2021). Machine Learning-Based Identification of Potentially Novel Non-Alcoholic Fatty Liver Disease Biomarkers. Biomedicines. 9(11). 1636–1636. 8 indexed citations
12.
Williams, John A., et al.. (2021). A Causal Web between Chronotype and Metabolic Health Traits. Genes. 12(7). 1029–1029. 2 indexed citations
13.
Reyat, Jasmeet S., Winnie Chua, Victor Roth Cardoso, et al.. (2020). Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation. JCI Insight. 5(16). 50 indexed citations
14.
Gokhale, Krishna, Joht Singh Chandan, Konstantinos A. Toulis, et al.. (2020). Data extraction for epidemiological research (DExtER): a novel tool for automated clinical epidemiology studies. European Journal of Epidemiology. 36(2). 165–178. 55 indexed citations
15.
Karwath, Andreas, Ashraf Dallol, Adeeb Noor, et al.. (2019). Ontology-based prediction of cancer driver genes. Scientific Reports. 9(1). 17405–17405. 18 indexed citations
16.
Bunting, Karina V, Richard P. Steeds, Luke T. Slater, et al.. (2019). A Practical Guide to Assess the Reproducibility of Echocardiographic Measurements. Journal of the American Society of Echocardiography. 32(12). 1505–1515. 109 indexed citations
17.
Nightingale, Peter, John A. Williams, Georgios V. Gkoutos, et al.. (2018). Utility of HbA1c assessment in people with diabetes awaiting liver transplantation. Diabetic Medicine. 36(11). 1444–1452. 9 indexed citations
18.
Kulmanov, Maxat, Paul N. Schofield, Georgios V. Gkoutos, & Robert Hoehndorf. (2018). Ontology-based validation and identification of regulatory phenotypes. Bioinformatics. 34(17). i857–i865. 4 indexed citations
19.
Slater, Luke T., Georgios V. Gkoutos, Paul N. Schofield, & Robert Hoehndorf. (2015). AberOWL: An ontology portal with OWL EL reasoning. University of Birmingham Research Portal (University of Birmingham). 1 indexed citations
20.
Rodríguez‐García, Miguel Ángel, Luke T. Slater, Keiron O’Shea, et al.. (2015). Visualizing ontologies with AberOWL. University of Birmingham Research Portal (University of Birmingham). 183–192. 1 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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