Bertalan Meskó

6.0k total citations · 4 hit papers
50 papers, 3.4k citations indexed

About

Bertalan Meskó is a scholar working on Health Informatics, General Health Professions and Health. According to data from OpenAlex, Bertalan Meskó has authored 50 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health Informatics, 14 papers in General Health Professions and 12 papers in Health. Recurrent topics in Bertalan Meskó's work include Artificial Intelligence in Healthcare and Education (18 papers), Social Media in Health Education (11 papers) and Telemedicine and Telehealth Implementation (6 papers). Bertalan Meskó is often cited by papers focused on Artificial Intelligence in Healthcare and Education (18 papers), Social Media in Health Education (11 papers) and Telemedicine and Telehealth Implementation (6 papers). Bertalan Meskó collaborates with scholars based in Hungary, United States and United Kingdom. Bertalan Meskó's co-authors include Eric J. Topol, Pranavsingh Dhunnoo, Stan Benjamens, Zsófia D. Drobni, Gergely Hetényi, Zsuzsa Győrffy, László Nagy, Szilárd Póliska, Zoltán Szekanecz and Janós Kollár and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Heart Journal.

In The Last Decade

Bertalan Meskó

47 papers receiving 3.3k citations

Hit Papers

The state of artificial intelligence-based FDA-approved m... 2017 2026 2020 2023 2020 2023 2017 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bertalan Meskó Hungary 23 1.5k 865 742 519 467 50 3.4k
Dominic King United Kingdom 27 819 0.6× 672 0.8× 745 1.0× 902 1.7× 536 1.1× 64 4.2k
I. Glenn Cohen United States 37 1.6k 1.1× 978 1.1× 630 0.8× 1.0k 2.0× 1.4k 3.0× 244 5.9k
Brian W. Powers United States 19 1.2k 0.8× 902 1.0× 442 0.6× 908 1.7× 731 1.6× 56 4.1k
Kyu Rhee United States 20 634 0.4× 430 0.5× 464 0.6× 581 1.1× 392 0.8× 53 2.4k
Alessandro Blasimme Switzerland 23 854 0.6× 675 0.8× 320 0.4× 359 0.7× 683 1.5× 73 2.8k
Alastair K. Denniston United Kingdom 42 1.3k 0.9× 917 1.1× 2.3k 3.1× 332 0.6× 625 1.3× 221 6.6k
Marzyeh Ghassemi United States 33 1.8k 1.3× 2.1k 2.4× 951 1.3× 308 0.6× 438 0.9× 111 4.8k
Kun‐Hsing Yu United States 28 970 0.7× 1.2k 1.4× 1.3k 1.7× 211 0.4× 369 0.8× 58 4.2k
Alaa Abd‐Alrazaq Qatar 29 579 0.4× 942 1.1× 417 0.6× 416 0.8× 221 0.5× 106 3.7k
Sally L. Baxter United States 20 879 0.6× 532 0.6× 854 1.2× 288 0.6× 406 0.9× 124 2.7k

Countries citing papers authored by Bertalan Meskó

Since Specialization
Citations

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

Fields of papers citing papers by Bertalan Meskó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertalan Meskó

This figure shows the co-authorship network connecting the top 25 collaborators of Bertalan Meskó. A scholar is included among the top collaborators of Bertalan Meskó 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 Bertalan Meskó. Bertalan Meskó 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.
Meskó, Bertalan, et al.. (2024). Exploring the Need for Medical Futures Studies: Insights From a Scoping Review of Health Care Foresight. Journal of Medical Internet Research. 26. e57148–e57148. 6 indexed citations
2.
Dhunnoo, Pranavsingh, et al.. (2024). Evaluation of Telemedicine Consultations Using Health Outcomes and User Attitudes and Experiences: Scoping Review. Journal of Medical Internet Research. 26. e53266–e53266. 5 indexed citations
3.
Meskó, Bertalan & Eric J. Topol. (2023). The imperative for regulatory oversight of large language models (or generative AI) in healthcare. npj Digital Medicine. 6(1). 120–120. 519 indexed citations breakdown →
4.
Benjamens, Stan, et al.. (2023). Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis. SHILAP Revista de lepidopterología. 2. e47283–e47283. 3 indexed citations
5.
Meskó, Bertalan & Dave deBronkart. (2022). Patient Design: The Importance of Including Patients in Designing Health Care. Journal of Medical Internet Research. 24(8). e39178–e39178. 36 indexed citations
6.
Benjamens, Stan, Pranavsingh Dhunnoo, & Bertalan Meskó. (2020). The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database. npj Digital Medicine. 3(1). 118–118. 650 indexed citations breakdown →
7.
Meskó, Bertalan, et al.. (2020). A short guide for medical professionals in the era of artificial intelligence. npj Digital Medicine. 3(1). 126–126. 215 indexed citations
8.
Meskó, Bertalan, et al.. (2019). Opinion leader empowered patients about the era of digital health: a qualitative study. BMJ Open. 9(3). e025267–e025267. 17 indexed citations
9.
Meskó, Bertalan. (2019). The Real Era of the Art of Medicine Begins with Artificial Intelligence. Journal of Medical Internet Research. 21(11). e16295–e16295. 22 indexed citations
10.
Meskó, Bertalan & Zsuzsa Győrffy. (2019). The Rise of the Empowered Physician in the Digital Health Era: Viewpoint. Journal of Medical Internet Research. 21(3). e12490–e12490. 75 indexed citations
11.
Meskó, Bertalan, et al.. (2018). Will artificial intelligence solve the human resource crisis in healthcare?. BMC Health Services Research. 18(1). 545–545. 198 indexed citations
12.
Meskó, Bertalan. (2017). Digital Health Technologies to Support Human Missions to Mars. New Space. 6(2). 109–116. 4 indexed citations
13.
Meskó, Bertalan. (2015). Commentary: we need to be better prepared for a technological future. BMJ. 350. h279–h279. 1 indexed citations
14.
Meskó, Bertalan. (2013). Social Media in Clinical Practice. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 19 indexed citations
15.
Meskó, Bertalan, Szilárd Póliska, Andrea Váncsa, et al.. (2013). Peripheral blood derived gene panels predict response to infliximab in rheumatoid arthritis and Crohn's disease. Genome Medicine. 5(6). 59–59. 30 indexed citations
16.
Szekanecz, Zoltán, Bertalan Meskó, Szilárd Póliska, et al.. (2013). Pharmacogenetics and pharmacogenomics in rheumatology. Immunologic Research. 56(2-3). 325–333. 24 indexed citations
17.
Meskó, Bertalan, Szilárd Póliska, Szilvia Szamosi, et al.. (2012). Peripheral Blood Gene Expression and IgG Glycosylation Profiles as Markers of Tocilizumab Treatment in Rheumatoid Arthritis. The Journal of Rheumatology. 39(5). 916–928. 23 indexed citations
18.
Meskó, Bertalan. (2011). Online medical content curation and personal time management with web 2. 0: an exciting era. 2. 1 indexed citations
19.
Póliska, Szilárd, Eszter Csánky, Attila Szántó, et al.. (2011). Chronic Obstructive Pulmonary Disease-Specific Gene Expression Signatures of Alveolar Macrophages as well as Peripheral Blood Monocytes Overlap and Correlate with Lung Function. Respiration. 81(6). 499–510. 34 indexed citations
20.
Meskó, Bertalan, Andrea Szegedi, Zoltán Szekanecz, et al.. (2010). Peripheral blood gene expression patterns discriminate among chronic inflammatory diseases and healthy controls and identify novel targets. BMC Medical Genomics. 3(1). 15–15. 95 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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