Alexia Sampri

450 total citations
9 papers, 95 citations indexed

About

Alexia Sampri is a scholar working on Epidemiology, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Alexia Sampri has authored 9 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Molecular Biology and 2 papers in Sociology and Political Science. Recurrent topics in Alexia Sampri's work include Data-Driven Disease Surveillance (4 papers), Social Media in Health Education (1 paper) and Occupational and environmental lung diseases (1 paper). Alexia Sampri is often cited by papers focused on Data-Driven Disease Surveillance (4 papers), Social Media in Health Education (1 paper) and Occupational and environmental lung diseases (1 paper). Alexia Sampri collaborates with scholars based in United Kingdom, Greece and Spain. Alexia Sampri's co-authors include Amaryllis Mavragani, Konstantinos P. Tsagarakis, Susan Peters, Piotr Przymus, Aleksandra Gruca, Roel Vermeulen, Enrique Carrillo de Santa Pau, Jaak Truu, Adrián Martín‐Segura and Matthias Ley and has published in prestigious journals such as Frontiers in Microbiology, PROTEOMICS and Thrombosis Research.

In The Last Decade

Alexia Sampri

9 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexia Sampri United Kingdom	7	43	12	11	9	8	9	95
Sara Hussain United Arab Emirates	7	22 0.5×	7 0.6×	10 0.9×		7 0.9×	20	91
Michelle Evans Australia	6	30 0.7×	11 0.9×	8 0.7×	3 0.3×		9	241
Н Ф Измеров Russia	7	53 1.2×	2 0.2×	6 0.5×	28 3.1×	4 0.5×	23	119
Shirley Fan United States	7	19 0.4×	3 0.3×	11 1.0×	7 0.8×	1 0.1×	14	127
M. Lewicka Poland	6	35 0.8×	2 0.2×	11 1.0×	6 0.7×		13	109
Behzad Foroutan Iran	7	6 0.1×	5 0.4×	28 2.5×	6 0.7×	1 0.1×	17	104
Andrew Willmore Canada	5	12 0.3×	4 0.3×	11 1.0×	8 0.9×		14	69
Huarong Sun China	5	19 0.4×	1 0.1×	9 0.8×	4 0.4×	2 0.3×	6	117
Vladimir I. Starodubov Russia	5	40 0.9×	3 0.3×	1 0.1×	7 0.8×	15 1.9×	14	114
Susana Afonso Portugal	5	12 0.3×	4 0.3×	17 1.5×	7 0.8×		15	72

Countries citing papers authored by Alexia Sampri

Since Specialization

Citations

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

Fields of papers citing papers by Alexia Sampri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexia Sampri

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

All Works

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9 of 9 papers shown

Przymus, Piotr, Krzysztof Rykaczewski, Adrián Martín‐Segura, et al.. (2025). Deep learning in microbiome analysis: a comprehensive review of neural network models. Frontiers in Microbiology. 15. 1516667–1516667. 9 indexed citations

Lopes, Marta B., Flore Duranton, Griet Glorieux, et al.. (2025). The Omics‐Driven Machine Learning Path to Cost‐Effective Precision Medicine in Chronic Kidney Disease. PROTEOMICS. 25(11-12). e202400108–e202400108. 12 indexed citations

Keene, Spencer, Hoda Abbasizanjani, Fatemeh Torabi, et al.. (2024). Risks of major arterial and venous thrombotic diseases after hospitalisation for influenza, pneumonia, and COVID-19: A population-wide cohort in 2.6 million people in Wales. Thrombosis Research. 245. 109213–109213. 6 indexed citations

Peters, Susan, Danielle Vienneau, Alexia Sampri, et al.. (2021). Occupational Exposure Assessment Tools in Europe: A Comprehensive Inventory Overview. Annals of Work Exposures and Health. 66(5). 671–686. 10 indexed citations

Sampri, Alexia, Nophar Geifman, Patrick Doherty, et al.. (2020). Probabilistic Approaches to Overcome Content Heterogeneity in Data Integration: A Study Case in Systematic Lupus Erythematosus. Studies in health technology and informatics. 270. 387–391. 1 indexed citations

Mavragani, Amaryllis, et al.. (2018). Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance. 4(1). e24–e24. 24 indexed citations

Sampri, Alexia, Amaryllis Mavragani, & Konstantinos P. Tsagarakis. (2016). Evaluating Google Trends as a Tool for Integrating the ‘Smart Health’ Concept in the Smart Cities’ Governance in USA. Procedia Engineering. 162. 585–592. 13 indexed citations

Mavragani, Amaryllis, Alexia Sampri, & Konstantinos P. Tsagarakis. (2016). Quantifying the Online Behavior Towards Organic Micropollutants of the EU Watchlist: The Cases of Diclofenac & the Macrolide Antibiotics. Procedia Engineering. 162. 576–584. 3 indexed citations

Mavragani, Amaryllis, et al.. (2016). Quantifying the UK Online Interest in Substances of the EU Watchlist for Water Monitoring: Diclofenac, Estradiol, and the Macrolide Antibiotics. Water. 8(11). 542–542. 17 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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