Lisa Pilgram

500 total citations
15 papers, 83 citations indexed

About

Lisa Pilgram is a scholar working on Artificial Intelligence, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lisa Pilgram has authored 15 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Infectious Diseases and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lisa Pilgram's work include Privacy-Preserving Technologies in Data (6 papers), Ethics in Clinical Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Lisa Pilgram is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Ethics in Clinical Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Lisa Pilgram collaborates with scholars based in Germany, Canada and United States. Lisa Pilgram's co-authors include Siegbert Rieg, Stefan Borgmann, Lukas Tometten, Nora Isberner, Kai Wille, Melanie Stecher, Fabian Praßer, Carolin Jakob, Annika Y. Claßen and Sibylle Schneider‐Schaulies and has published in prestigious journals such as Clinical Chemistry, Frontiers in Immunology and Journal of Medical Internet Research.

In The Last Decade

Lisa Pilgram

13 papers receiving 80 citations

Peers

Lisa Pilgram
Paula L. Kip United States
Dakshitha Wickramasinghe Sri Lanka
András Wéber Hungary
Xianming Zhu United States
Han A. Li United States
Sharon Nirenberg United States
Nicola Maturo Italy
Sheng Long United States
Hélène Gros France
Paula L. Kip United States
Lisa Pilgram
Citations per year, relative to Lisa Pilgram Lisa Pilgram (= 1×) peers Paula L. Kip

Countries citing papers authored by Lisa Pilgram

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Pilgram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Pilgram

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

All Works

15 of 15 papers shown
1.
Pilgram, Lisa, Haksoo Ko, Anthony K. H. Tung, & Khaled El Emam. (2025). Protecting patient privacy in tabular synthetic health data: a regulatory perspective. npj Digital Medicine. 8(1). 732–732.
2.
Pilgram, Lisa, et al.. (2025). Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data. Journal of the American Medical Informatics Association. 32(12). 1843–1854.
3.
Pilgram, Lisa, et al.. (2025). An assessment of synthetic data generation, use and disclosure under Canadian privacy regulations. AI and Ethics. 5(6). 6225–6240. 1 indexed citations
4.
Pilgram, Lisa, Fida K. Dankar, Jörg Drechsler, et al.. (2025). A consensus privacy metrics framework for synthetic data. Patterns. 6(10). 101320–101320. 3 indexed citations
5.
Myers, Candace T., Runjun D. Kumar, Lisa Pilgram, et al.. (2025). Genomic Data and Privacy. Clinical Chemistry. 71(1). 10–17. 1 indexed citations
6.
Emam, Khaled El, et al.. (2024). Perspectives of Canadian privacy regulators on anonymization practices and anonymized information: a qualitative study. International Data Privacy Law. 14(4). 391–403. 2 indexed citations
7.
Pilgram, Lisa, et al.. (2024). The Costs of Anonymization: Case Study Using Clinical Data. Journal of Medical Internet Research. 26. e49445–e49445. 2 indexed citations
8.
Pilgram, Lisa, et al.. (2023). Utility-Preserving Anonymization in a Real-World Scenario: Evidence from the German Chronic Kidney Disease (GCKD) Study. Studies in health technology and informatics. 302. 28–32. 1 indexed citations
9.
10.
Pilgram, Lisa, Lukas Eberwein, Kai Wille, et al.. (2021). Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease. Infection. 49(4). 725–737. 12 indexed citations
11.
Hommes, Franziska, et al.. (2021). Überregionale Public-Health-Akteure in Deutschland – eine Bestandsaufnahme und Kategorisierung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 65(1). 96–106. 4 indexed citations
12.
Pilgram, Lisa, Maximilian Schons, Carolin Jakob, et al.. (2021). Die COVID-19 Pandemie als Herausforderung und Chance für Register in der Versorgungsforschung: Erfahrungen aus Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS). Das Gesundheitswesen. 83(S 01). S45–S53. 7 indexed citations
13.
Borgmann, Stefan, Karlheinz Seidl, Melanie Stecher, et al.. (2021). Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study. Journal of Clinical Medicine. 10(17). 3855–3855. 12 indexed citations
14.
Cremer, Sebastian, Carolin Jakob, Alexander Berkowitsch, et al.. (2020). Elevated markers of thrombo-inflammatory activation predict outcome in patients with cardiovascular comorbidities and COVID-19 disease: insights from the LEOSS registry. Clinical Research in Cardiology. 110(7). 1029–1040. 18 indexed citations
15.
Kurz, Andreas, Lukasz Japtok, Fabian Schumacher, et al.. (2019). Measles Virus Infection Fosters Dendritic Cell Motility in a 3D Environment to Enhance Transmission to Target Cells in the Respiratory Epithelium. Frontiers in Immunology. 10. 1294–1294. 14 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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2026