David Lloyd
Impact in
-
- Artificial Intelligence in Healthcare and Education
-
- Cancer Genomics and Diagnostics
Papers in
-
- Glycosylation and Glycoproteins Research 1
-
- Vasculitis and related conditions 1
- Co-authors
- Lucila Ohno‐Machado (3 shared papers)Jane C. Burns (2 shared papers)Xiaoqian Jiang (2 shared papers)Cinnamon S. Bloss (1 shared paper)Jihoon Kim (1 shared paper)Victoria Wright (1 shared paper)S. Cenk Şahinalp (1 shared paper)Eileen Png (1 shared paper)
- Journals
- Bioinformatics (1 paper)Academic Emergency Medicine (1 paper)Diabetes Obesity and Metabolism (1 paper)Journal of the American Medical Informatics Association (1 paper)Pediatric and Developmental Pathology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David Lloyd
7 papers receiving 210 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 9
- Cancer Research 36
- Artificial Intelligence 82
- Public Health, Environmental and Occupational Health 47
- Health Information Management 6
Countries citing papers authored by David Lloyd
This map shows the geographic impact of David Lloyd'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 Lloyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lloyd more than expected).
Fields of papers citing papers by David Lloyd
This network shows the impact of papers produced by David Lloyd. 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 Lloyd. The network helps show where David Lloyd may publish in the future.
Co-authors
The 25 scholars most cited alongside David Lloyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2016 | 62 | |
| 3 | 2016 | 39 | |
| 4 | 2018 | 34 | |
| 5 | 2007 | 5 | |
| 6 | 2025 | 2 | |
| 7 | 2012 | 2 |
About David Lloyd
David Lloyd is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Nephrology, having authored 7 papers that have together received 215 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (1 paper), Trypanosoma species research and implications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), Vasculitis and related conditions (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Health Informatics (9 citations), Cancer Research (36 citations), Artificial Intelligence (82 citations), Public Health, Environmental and Occupational Health (47 citations) and Health Information Management (6 citations). David Lloyd has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lucila Ohno‐Machado, Jane C. Burns, Xiaoqian Jiang, Cinnamon S. Bloss, Jihoon Kim, Victoria Wright, S. Cenk Şahinalp, Eileen Png, Chisato Shimizu and Dov Fox. Their work appears in journals such as Bioinformatics, Academic Emergency Medicine, Diabetes Obesity and Metabolism, Journal of the American Medical Informatics Association and Pediatric and Developmental Pathology.
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.