Menno Mostert

833 total citations
17 papers, 466 citations indexed

About

Menno Mostert is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Menno Mostert has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 6 papers in General Health Professions and 5 papers in Artificial Intelligence. Recurrent topics in Menno Mostert's work include Ethics in Clinical Research (14 papers), Privacy-Preserving Technologies in Data (5 papers) and Patient Dignity and Privacy (4 papers). Menno Mostert is often cited by papers focused on Ethics in Clinical Research (14 papers), Privacy-Preserving Technologies in Data (5 papers) and Patient Dignity and Privacy (4 papers). Menno Mostert collaborates with scholars based in Netherlands, United States and United Kingdom. Menno Mostert's co-authors include Johannes J. M. van Delden, Ghislaine J. M. W. van Thiel, Shona Kalkman, Annelien L. Bredenoord, Johannes van Delden, Amitava Banerjee, Benoît Tyl, Christoph Gerlinger, Rieke van der Graaf and Diederick E. Grobbee and has published in prestigious journals such as Journal of Clinical Epidemiology, European Journal of Human Genetics and BMC Medical Informatics and Decision Making.

In The Last Decade

Menno Mostert

16 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menno Mostert Netherlands 8 266 136 91 62 57 17 466
Shona Kalkman Netherlands 13 263 1.0× 176 1.3× 54 0.6× 50 0.8× 37 0.6× 22 554
Felix Gille Switzerland 11 164 0.6× 166 1.2× 74 0.8× 78 1.3× 34 0.6× 35 485
Heidi Beate Bentzen Norway 11 292 1.1× 120 0.9× 71 0.8× 42 0.7× 40 0.7× 22 531
Agata Ferretti Switzerland 10 132 0.5× 101 0.7× 56 0.6× 66 1.1× 69 1.2× 14 364
Gherardo Carullo Italy 6 123 0.5× 117 0.9× 47 0.5× 68 1.1× 58 1.0× 17 462
Kathleen Liddell United Kingdom 15 198 0.7× 143 1.1× 49 0.5× 28 0.5× 73 1.3× 57 610
Curtis L. Cole United States 11 137 0.5× 143 1.1× 77 0.8× 24 0.4× 84 1.5× 27 504
Sharona Hoffman United States 13 125 0.5× 108 0.8× 48 0.5× 38 0.6× 24 0.4× 67 461
Isabelle Budin‐Ljøsne Norway 14 470 1.8× 149 1.1× 90 1.0× 39 0.6× 47 0.8× 35 772
Björn Schreiweis Germany 11 213 0.8× 197 1.4× 57 0.6× 24 0.4× 33 0.6× 43 561

Countries citing papers authored by Menno Mostert

Since Specialization
Citations

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

Fields of papers citing papers by Menno Mostert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menno Mostert

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

All Works

17 of 17 papers shown
1.
Mostert, Menno, et al.. (2023). Specific measures for data-intensive health research without consent: a systematic review of soft law instruments and academic literature. European Journal of Human Genetics. 32(1). 21–30. 7 indexed citations
2.
Schröder, M., Eleni Vradi, Johanna Mielke, et al.. (2023). Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@Heart. Big Data. 11(6). 399–407. 2 indexed citations
3.
Graaf, Rieke van der, Menno Mostert, Ilonca Vaartjes, et al.. (2023). Overcoming ethical and legal obstacles to data linkage in health research: stakeholder perspectives. International Journal for Population Data Science. 8(1). 2151–2151. 4 indexed citations
4.
Thiel, Ghislaine J. M. W. van, et al.. (2023). Dynamic consent, communication and return of results in large-scale health data reuse: Survey of public preferences. Digital Health. 9. 5 indexed citations
5.
Thiel, Ghislaine J. M. W. van, et al.. (2022). Patients’ and Publics’ Preferences for Data-Intensive Health Research Governance: Survey Study. JMIR Human Factors. 9(3). e36797–e36797. 6 indexed citations
6.
Mostert, Menno, et al.. (2022). From Discipline to Quality of Care: How Neurologists Can Learn from Decisions of Disciplinary Tribunals. European Neurology. 85(3). 202–207. 1 indexed citations
7.
Groenhof, T. Katrien J., Menno Mostert, Nathan Lea, et al.. (2022). How traditional informed consent impairs inclusivity in a learning healthcare system: lessons learned from the Utrecht Cardiovascular Cohort. Journal of Clinical Epidemiology. 149. 190–194. 4 indexed citations
9.
Kalkman, Shona, et al.. (2021). The social licence for data-intensive health research: towards co-creation, public value and trust. BMC Medical Ethics. 22(1). 110–110. 33 indexed citations
10.
Kalkman, Shona, Menno Mostert, Christoph Gerlinger, Johannes J. M. van Delden, & Ghislaine J. M. W. van Thiel. (2019). Responsible data sharing in international health research: a systematic review of principles and norms. BMC Medical Ethics. 20(1). 21–21. 82 indexed citations
11.
Kalkman, Shona, et al.. (2019). Responsible data sharing in a big data-driven translational research platform: lessons learned. BMC Medical Informatics and Decision Making. 19(1). 283–283. 19 indexed citations
12.
Kalkman, Shona, Johannes van Delden, Amitava Banerjee, et al.. (2019). Patients’ and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence. Journal of Medical Ethics. 48(1). 3–13. 170 indexed citations
13.
Mostert, Menno, et al.. (2018). Privacy in Big Data psychiatric and behavioural research: A multiple-case study. International Journal of Law and Psychiatry. 60. 40–44. 6 indexed citations
14.
Mostert, Menno, et al.. (2018). Euthanasia of Dutch patients with Psychiatric Disorders between 2015 and 2017. Pure Amsterdam UMC. 7 indexed citations
15.
Mostert, Menno, et al.. (2017). From Privacy to Data Protection in the eu: Implications for Big Data Health Research. European Journal of Health Law. 25(1). 43–55. 14 indexed citations
16.
Mostert, Menno, et al.. (2015). Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach. European Journal of Human Genetics. 24(7). 956–960. 97 indexed citations
17.
Bredenoord, Annelien L., Menno Mostert, Rosario Isasi, & Bartha Maria Knoppers. (2015). Data Sharing in Stem Cell Translational Science: Policy Statement by the International Stem Cell Forum Ethics Working Party. Regenerative Medicine. 10(7). 857–861. 9 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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