David J. Levine
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
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- Reproductive Biology and Fertility
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 6
- Soft Robotics and Applications 3
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- Modular Robots and Swarm Intelligence 3
- Advanced Materials and Mechanics 2
- Co-authors
- Kevin T. Turner (5 shared papers)James H. Pikul (4 shared papers)Michael J. Friez (2 shared papers)Sherman J. Silber (2 shared papers)Jorge A. Pineda (2 shared papers)K. Lenahan (2 shared papers)Eric Crawford (2 shared papers)Roger G. Gosden (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Advanced Materials (2 papers)Science Robotics (2 papers)Computer (1 paper)Obstetrical & Gynecological Survey (1 paper)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
David J. Levine
11 papers receiving 444 citations
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 98
- Public Health, Environmental and Occupational Health 177
- Transplantation 13
- Biomedical Engineering 168
- Mechanical Engineering 97
Countries citing papers authored by David J. Levine
This map shows the geographic impact of David J. Levine'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 J. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Levine more than expected).
Fields of papers citing papers by David J. Levine
This network shows the impact of papers produced by David J. Levine. 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 J. Levine. The network helps show where David J. Levine may publish in the future.
Co-authors
The 18 scholars most cited alongside David J. Levine, 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 | 2005 | 177 | |
| 2 | 2021 | 73 | |
| 3 | 2018 | 61 | |
| 4 | 2021 | 38 | |
| 5 | 2022 | 34 | |
| 6 | 2005 | 34 | |
| 7 | 2023 | 18 | |
| 8 | 2022 | 13 | |
| 9 | Familial subconjunctival epithelial cysts associated with the nevoid basal cell carcinoma syndrome. | 1987 | 8 |
| 10 | 2024 | 1 | |
| 11 | 2013 | 1 |
About David J. Levine
David J. Levine is a scholar working on Biomedical Engineering, Mechanical Engineering, Public Health, Environmental and Occupational Health, Surgery and Molecular Biology, having authored 11 papers that have together received 458 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Soft Robotics and Applications (3 papers), Modular Robots and Swarm Intelligence (3 papers), Reproductive Biology and Fertility (2 papers), Advanced Materials and Mechanics (2 papers), Fuel Cells and Related Materials (1 paper), Adhesion, Friction, and Surface Interactions (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Reproductive Medicine (98 citations), Public Health, Environmental and Occupational Health (177 citations), Transplantation (13 citations), Biomedical Engineering (168 citations) and Mechanical Engineering (97 citations). David J. Levine has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Kevin T. Turner, James H. Pikul, Michael J. Friez, Sherman J. Silber, Jorge A. Pineda, K. Lenahan, Eric Crawford, Roger G. Gosden, Cynthia Sung and Cameron A. Aubin. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Materials, Science Robotics, Computer and Obstetrical & Gynecological Survey.
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.