David Brindley

64 papers receiving 1.5k citations

Peers

David Brindley
Comparison fields: 5 of 163
  • Health Informatics 28
  • Genetics 96
  • Information Systems 204
  • Applied Psychology 34
  • Computer Science Applications 38
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Martin Boeker Germany
Lorenzo Cobianchi Italy
Stefan Kolb Switzerland
Annelien L. Bredenoord Netherlands
Hee Hwang South Korea
Sonu Bhaskar Australia
Carlos de Castro Lozano Spain
John Ainsworth United Kingdom
Chih‐Hung Chang Taiwan
Ian Cooper Australia
David Brindley relative to Martin Boeker Germany Martin Boeker's profile →
Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by David Brindley

Since Specialization
Citations

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

Fields of papers citing papers by David Brindley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Brindley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Brindley Line = papers co-authored together David Brindley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014179
2 2020148
3 2018103
4 2011103
5 201791
6 201161
7 201956
8 201546
9 201244
10 201833
11 201433
12 201831
13 201831
14 201928
15 201828
16 201828
17
Regulatory Considerations for Gene Therapy Products in the US, EU, and Japan.
201727
18 201827
19 201827
20 201621

About David Brindley

David Brindley is a scholar working on Physiology, Molecular Biology, Public Health, Environmental and Occupational Health, Economics and Econometrics and Biomedical Engineering, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (17 papers), Pluripotent Stem Cells Research (8 papers), Pharmaceutical Quality and Counterfeiting (6 papers), Pharmaceutical Economics and Policy (5 papers), Biotechnology and Related Fields (5 papers), Science, Research, and Medicine (4 papers), Biomedical and Engineering Education (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Health Informatics (28 citations), Genetics (96 citations), Information Systems (204 citations), Applied Psychology (34 citations) and Computer Science Applications (38 citations). David Brindley has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Edward Meinert, Anuraag A Vazirani, James Smith, Chris Mason, Natasha L. Davie, Glenn Wells, Emily J Culme-Seymour, Abrar Alturkistani, Andrew Carr and Gary S. Collins. Their work appears in journals such as BMJ Open, Rejuvenation Research, Journal of Medical Internet Research, Cell stem cell and Nature Biotechnology.

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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