David Beran

5.7k total citations
128 papers, 2.9k citations indexed

About

David Beran is a scholar working on Endocrinology, Diabetes and Metabolism, Organizational Behavior and Human Resource Management and Economics and Econometrics. According to data from OpenAlex, David Beran has authored 128 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Endocrinology, Diabetes and Metabolism, 40 papers in Organizational Behavior and Human Resource Management and 37 papers in Economics and Econometrics. Recurrent topics in David Beran's work include Global Public Health Policies and Epidemiology (40 papers), Diabetes Management and Research (34 papers) and Health Systems, Economic Evaluations, Quality of Life (26 papers). David Beran is often cited by papers focused on Global Public Health Policies and Epidemiology (40 papers), Diabetes Management and Research (34 papers) and Health Systems, Economic Evaluations, Quality of Life (26 papers). David Beran collaborates with scholars based in Switzerland, United Kingdom and United States. David Beran's co-authors include John Yudkin, Margaret Ewen, Richard Laing, Maximilian de Courten, J. Jaime Miranda, François Chappuis, Sarah H. Wild, Kasia J. Lipska, Daniel Opoku and Victor Stephani and has published in prestigious journals such as The Lancet, JAMA and Nature Medicine.

In The Last Decade

David Beran

123 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Beran Switzerland 31 1.0k 567 538 481 449 128 2.9k
Jennifer Manne‐Goehler United States 25 962 0.9× 448 0.8× 311 0.6× 1.2k 2.5× 275 0.6× 113 3.6k
Ala Alwan Switzerland 20 192 0.2× 529 0.9× 258 0.5× 250 0.5× 494 1.1× 47 2.1k
Jonathan Pearson‐Stuttard United Kingdom 28 482 0.5× 583 1.0× 249 0.5× 871 1.8× 235 0.5× 87 3.6k
Pierre Barker United States 35 378 0.4× 777 1.4× 252 0.5× 519 1.1× 80 0.2× 98 4.5k
Kerri L. Cavanaugh United States 36 992 1.0× 2.1k 3.7× 364 0.7× 645 1.3× 117 0.3× 131 4.4k
Rohina Joshi Australia 28 338 0.3× 782 1.4× 379 0.7× 382 0.8× 557 1.2× 143 2.8k
Carol R. Horowitz United States 38 352 0.3× 1.6k 2.8× 347 0.6× 745 1.5× 198 0.4× 125 4.6k
Kishwar Azad United Kingdom 27 334 0.3× 1.0k 1.8× 155 0.3× 281 0.6× 179 0.4× 106 2.8k
Sitanshu Sekhar Kar India 24 379 0.4× 284 0.5× 167 0.3× 284 0.6× 208 0.5× 206 2.0k
Gabriel Rada Chile 27 124 0.1× 907 1.6× 597 1.1× 421 0.9× 97 0.2× 169 3.7k

Countries citing papers authored by David Beran

Since Specialization
Citations

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

Fields of papers citing papers by David Beran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Beran

This figure shows the co-authorship network connecting the top 25 collaborators of David Beran. A scholar is included among the top collaborators of David Beran 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 David Beran. David Beran 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.
Beran, David, et al.. (2025). Role of biosimilar introduction on insulin glargine prices: a retrospective analysis in 28 European countries. BMJ Open. 15(1). e090484–e090484. 2 indexed citations
2.
Ewen, Margaret, Stéphane Besançon, Lachlan Oldfield, et al.. (2025). Availability, prices and affordability of self-monitoring blood glucose devices: surveys in six low-income and middle-income countries. BMJ Public Health. 3(1). e001128–e001128. 2 indexed citations
3.
Armocida, Benedetta, Lorenzo Monasta, Susan M. Sawyer, et al.. (2024). The Burden of Type 1 and Type 2 Diabetes Among Adolescents and Young Adults in 24 Western European Countries, 1990–2019: Results From the Global Burden of Disease Study 2019. International Journal of Public Health. 68. 1606491–1606491. 15 indexed citations
4.
5.
Vetter, Beatrice, David Beran, Philippa Boulle, et al.. (2021). Development of a target product profile for a point-of-care cardiometabolic device. BMC Cardiovascular Disorders. 21(1). 486–486. 9 indexed citations
6.
Cárdenas, María Kathia, Suman Bahadur Singh, Tavares Madede, et al.. (2021). Forty years after Alma-Ata: primary health-care preparedness for chronic diseases in Mozambique, Nepal and Peru. Global Health Action. 14(1). 1975920–1975920. 7 indexed citations
7.
8.
Kibachio, Joseph, Valerian Mwenda, Pablo N. Perez‐Guzman, et al.. (2020). Recommendations for the use of mathematical modelling to support decision‐making on integration of non‐communicable diseases into HIV care. Journal of the International AIDS Society. 23(S1). e25505–e25505. 8 indexed citations
9.
Lazo‐Porras, María, María Kathia Cárdenas, M. Amalia Pesantes, et al.. (2020). Lessons learned about co-creation: developing a complex intervention in rural Peru. Global Health Action. 13(1). 1754016–1754016. 48 indexed citations
10.
Pesantes, M. Amalia, et al.. (2019). Disruption, changes, and adaptation: Experiences with chronic conditions in Mozambique, Nepal and Peru. Global Public Health. 15(3). 372–383. 10 indexed citations
11.
Witham, Miles D., Alisha N. Wade, Amelia C. Crampin, et al.. (2019). Ability of verbal autopsy data to detect deaths due to uncontrolled hyperglycaemia: testing existing methods and development and validation of a novel weighted score. BMJ Open. 9(10). e026331–e026331. 3 indexed citations
12.
Basu, Sanjay, John Yudkin, Sylvia Kehlenbrink, et al.. (2018). Estimation of global insulin use for type 2 diabetes, 2018–30: a microsimulation analysis. The Lancet Diabetes & Endocrinology. 7(1). 25–33. 149 indexed citations
13.
Beran, David, Peter Byass, Aiah A Gbakima, et al.. (2017). Research capacity building—obligations for global health partners. The Lancet Global Health. 5(6). e567–e568. 89 indexed citations
14.
Miranda, J. Jaime, et al.. (2017). Social marketing interventions for neglected tropical diseases (NTDs): A systematic review protocol. Graduate Institute Geneva Institutional Repository (Graduate Institute of International and Development Studies). 2 indexed citations
15.
16.
Beran, David, Sigiriya Aebischer Perone, Gabriel Alcoba, et al.. (2016). Partnerships in global health and collaborative governance: lessons learnt from the Division of Tropical and Humanitarian Medicine at the Geneva University Hospitals. Globalization and Health. 12(1). 14–14. 19 indexed citations
17.
Bissell, Karen, Christophe Perrin, & David Beran. (2016). Access to essential medicines to treat chronic respiratory disease in low-income countries. The International Journal of Tuberculosis and Lung Disease. 20(6). 717–728. 24 indexed citations
18.
Beran, David. (2015). The Impact of Health Systems on Diabetes Care in Low and Lower Middle Income Countries. Current Diabetes Reports. 15(4). 20–20. 38 indexed citations
19.
20.
Beran, David & John Yudkin. (2006). Diabetes care in sub-Saharan Africa. The Lancet. 368(9548). 1689–1695. 184 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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