David Joy
Impact in
- Neurology top 10%
- Parasitology top 10%
Papers in ⓘ
-
- Pluripotent Stem Cells Research 8
- Congenital heart defects research 2
-
- 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)Michael P. Fay (1 shared paper)Jane M. Carlton (1 shared paper)Thomas F. McCutchan (1 shared paper)Lilia González-Cerón (1 shared paper)Diwakar Turaga (2 shared papers)
- Journals
- Development (2 papers)eLife (2 papers)SLAS DISCOVERY (1 paper)Tissue Engineering Part C Methods (1 paper)Heredity (1 paper)
- Partner nations
- United StatesCanadaMexico
In The Last Decade
David Joy
19 papers receiving 628 citations
Peers
Comparison fields: 5 of 84
- Neurology 110
- Parasitology 43
- Infectious Diseases 110
- Biophysics 27
- Molecular Biology 261
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 | 130 | |
| 2 | 2021 | 98 | |
| 3 | 2008 | 87 | |
| 4 | 2021 | 61 | |
| 5 | 2015 | 46 | |
| 6 | 2016 | 42 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 25 | |
| 9 | 2023 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2007 | 15 | |
| 14 | Genetic diversity and population history of Plasmodium falciparum and Plasmodium vivax. | 2006 | 8 |
| 15 | 2020 | 7 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2025 | 1 |
About David Joy
David Joy is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Neurology and Surgery, having authored 19 papers that have together received 631 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), Tissue Engineering and Regenerative Medicine (2 papers), Traumatic Brain Injury Research (2 papers), Malaria Research and Control (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Neurology (110 citations), Parasitology (43 citations), Infectious Diseases (110 citations), Biophysics (27 citations) and Molecular Biology (261 citations). David Joy has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Todd C. McDevitt, Bruce R. Conklin, Xin‐zhuan Su, Michael P. Fay, Jane M. Carlton, Thomas F. McCutchan, Lilia González-Cerón, Diwakar Turaga, Michael H. Lai and Vaishaali Natarajan. Their work appears in journals such as Development, eLife, SLAS DISCOVERY, Tissue Engineering Part C Methods 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.