Health Data Research UK

1.5k papers receiving 37.7k citations

Peers

Health Data Research UK
Comparison fields: 5 of 233
  • Health Informatics 2.0k
  • Cardiology and Cardiovascular Medicine 4.7k
  • Health 1.7k
  • Health Information Management 978
  • Dermatology 1.8k
Replace Oxford BioMedica (United Kingdom) with:
Oxford BioMedica (United Kingdom) United Kingdom
University Hospitals of Leicester NHS Trust United Kingdom
UCL Biomedical Research Centre United Kingdom
Brighton and Sussex Medical School United Kingdom
Centre de Recherche Épidémiologie et Statistique France
MRC Clinical Trials Unit at UCL United Kingdom
University Hospitals Bristol NHS Foundation Trust United Kingdom
King's College Hospital NHS Foundation Trust United Kingdom
St Mary's Hospital United Kingdom
St George’s University Hospitals NHS Foundation Trust United Kingdom
Health Data Research UK relative to Oxford BioMedica (United Kingdom) United Kingdom Oxford BioMedica (United Kingdom)'s profile →
Citations per field
00.5×1.5×2×2.5×
Oxford BioMedica (United Kingdom) · 1×
Citations per year

Countries citing scholars working at Health Data Research UK

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Health Data Research UK. 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 papers produced at Health Data Research UK with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Health Data Research UK more than expected).

Fields of papers published by authors at Health Data Research UK

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Health Data Research UK at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Health Data Research UK at the time of their publication.

About Health Data Research UK

In recent decades, authors affiliated with Health Data Research UK have published 2.1k papers, which have received a total of 56.4k indexed citations . Scholars at this organization have produced 46 papers in Health Informatics, 47 papers in Health Information Management, 205 papers in Cardiology and Cardiovascular Medicine, 60 papers in Health and 33 papers in Modeling and Simulation on the topics of Genetic Associations and Epidemiology (72 papers), COVID-19 Clinical Research Studies (50 papers), Machine Learning in Healthcare (47 papers), SARS-CoV-2 and COVID-19 Research (46 papers), Artificial Intelligence in Healthcare and Education (46 papers), Health Systems, Economic Evaluations, Quality of Life (41 papers), Health disparities and outcomes (39 papers) and Chronic Disease Management Strategies (37 papers). Their work is cited by papers focused on Health Informatics (2.0k citations), Cardiology and Cardiovascular Medicine (4.7k citations), Health (1.7k citations), Health Information Management (978 citations) and Dermatology (1.8k citations). Authors at Health Data Research UK collaborate with scholars in United Kingdom, United States and Netherlands and have published in prestigious journals including BMJ Open, Nature Communications, International Journal for Population Data Science, The Lancet and Scientific Reports. Some of Health Data Research UK's most productive authors include Michael Gideon Marmot, Sinéad Langan, Irvine Alan, Stephan Weidinger, Alastair Keith Denniston, Folkert Wouter Asselbergs, Xiaoxuan Liu, Ruth Bell, Tjeerd Pieter van Staa and Spiros Denaxas.

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.

Explore institutions with similar magnitude of impact