David Joy
Impact in
- Neurology top 10%
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Pluripotent Stem Cells Research 8
- Congenital heart defects research 2
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- 3D Printing in Biomedical Research 6
- Co-authors
- Todd C. McDevitt (10 shared papers)Bruce R. Conklin (4 shared papers)Xin‐zhuan Su (2 shared papers)Lilia González-Cerón (1 shared paper)Thomas F. McCutchan (1 shared paper)Michael P. Fay (1 shared paper)Jane M. Carlton (1 shared paper)Benoit G. Bruneau (1 shared paper)
- Journals
- Development (2 papers)eLife (2 papers)Cell stem cell (1 paper)Radiology (1 paper)Heredity (1 paper)
- Partner nations
- United StatesCanadaPeru
In The Last Decade
David Joy
19 papers receiving 654 citations
Peers
Comparison fields: 5 of 78
- Neurology 95
- Infectious Diseases 98
- Parasitology 32
- Biophysics 28
- Molecular Biology 256
Countries citing papers authored by David Joy
This map shows the geographic impact of David Joy'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 Joy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Joy more than expected).
Fields of papers citing papers by David Joy
This network shows the impact of papers produced by David Joy. 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 Joy. The network helps show where David Joy may publish in the future.
Co-authors
The 25 scholars most cited alongside David Joy, 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 | 2021 | 134 | |
| 2 | 2021 | 108 | |
| 3 | 2008 | 91 | |
| 4 | 2021 | 62 | |
| 5 | 2015 | 48 | |
| 6 | 2016 | 44 | |
| 7 | 2019 | 42 | |
| 8 | 2018 | 25 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2007 | 15 | |
| 14 | 2020 | 8 | |
| 15 | Genetic diversity and population history of Plasmodium falciparum and Plasmodium vivax. | 2006 | 8 |
| 16 | 2019 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 |
About David Joy
David Joy is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Surgery and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 660 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), 3D Printing in Biomedical Research (6 papers), Cell Image Analysis Techniques (4 papers), Congenital heart defects research (2 papers), Malaria Research and Control (2 papers), Modular Robots and Swarm Intelligence (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Neurology (95 citations), Infectious Diseases (98 citations), Parasitology (32 citations), Biophysics (28 citations) and Molecular Biology (256 citations). David Joy has collaborated with scholars based in United States, Canada and Peru. Frequent co-authors include Todd C. McDevitt, Bruce R. Conklin, Xin‐zhuan Su, Lilia González-Cerón, Thomas F. McCutchan, Michael P. Fay, Jane M. Carlton, Benoit G. Bruneau, M. Ariel Kauss and Michael H. Lai. Their work appears in journals such as Development, eLife, Cell stem cell, Radiology and Heredity.
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.