David E. Reynolds
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
-
- Pregnancy and preeclampsia studies
Papers in
-
- Extracellular vesicles in disease 3
- Genetics 3
- Mesenchymal stem cell research 1
- Co-authors
- Michael E. Flatté (1 shared paper)Nicole N. Hashemi (3 shared papers)Mark S. Sanders (1 shared paper)Thomas Butler (1 shared paper)Jean M. Carlson (1 shared paper)Jina Ko (5 shared papers)John C. Doyle (1 shared paper)Yoon Ho Roh (3 shared papers)
- Journals
- Advanced Science (2 papers)Nature Methods (1 paper)ACS Applied Bio Materials (1 paper)Interface Focus (1 paper)The Journal of Social Psychology (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
David E. Reynolds
16 papers receiving 276 citations
Peers
Comparison fields: 5 of 97
- Condensed Matter Physics 67
- Obstetrics and Gynecology 39
- Atomic and Molecular Physics, and Optics 52
- Electronic, Optical and Magnetic Materials 23
- Pediatrics, Perinatology and Child Health 24
Countries citing papers authored by David E. Reynolds
This map shows the geographic impact of David E. Reynolds'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 E. Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Reynolds more than expected).
Fields of papers citing papers by David E. Reynolds
This network shows the impact of papers produced by David E. Reynolds. 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 E. Reynolds. The network helps show where David E. Reynolds may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Reynolds, 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 | 2019 | 69 | |
| 2 | 2000 | 68 | |
| 3 | Automatic segmentation | 1986 | 28 |
| 4 | 2023 | 22 | |
| 5 | 1975 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2002 | 13 | |
| 8 | 2009 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 7 | |
| 12 | Software for CLIP4 | 1986 | 5 |
| 13 | 2023 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2009 | 1 |
About David E. Reynolds
David E. Reynolds is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Immunology and Allergy and Obstetrics and Gynecology, having authored 16 papers that have together received 287 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (2 papers), Pregnancy and preeclampsia studies (2 papers), Pregnancy and Medication Impact (2 papers), Ecosystem dynamics and resilience (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Condensed Matter Physics (67 citations), Obstetrics and Gynecology (39 citations), Atomic and Molecular Physics, and Optics (52 citations), Electronic, Optical and Magnetic Materials (23 citations) and Pediatrics, Perinatology and Child Health (24 citations). David E. Reynolds has collaborated with scholars based in United States and South Korea. Frequent co-authors include Michael E. Flatté, Nicole N. Hashemi, Mark S. Sanders, Thomas Butler, Jean M. Carlson, Jina Ko, John C. Doyle, Yoon Ho Roh, Renee‐Tyler T. Morales and Shailesh Kumar. Their work appears in journals such as Advanced Science, Nature Methods, ACS Applied Bio Materials, Interface Focus and The Journal of Social Psychology.
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.