David W. Singleton
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
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- Estrogen and related hormone effects
Papers in
- Genetics 8
- Estrogen and related hormone effects 8
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- Effects and risks of endocrine disrupting chemicals 4
- Co-authors
- SA Khan (10 shared papers)Yuxin Feng (4 shared papers)Jun Yang (2 shared papers)Adrian V. Lee (2 shared papers)Alvaro Puga (2 shared papers)Jorge M. Naciff (3 shared papers)Zubin S. Khambatta (3 shared papers)Gregory J. Carr (3 shared papers)
- Journals
- Molecular and Cellular Endocrinology (3 papers)Toxicological Sciences (2 papers)Endocrine Research (1 paper)Environmental Research (1 paper)Toxicology (1 paper)
- Partner nations
- United States
In The Last Decade
David W. Singleton
14 papers receiving 433 citations
Peers
Comparison fields: 5 of 60
- Health, Toxicology and Mutagenesis 182
- Genetics 138
- Physiology 14
- Cancer Research 27
- Molecular Biology 71
Countries citing papers authored by David W. Singleton
This map shows the geographic impact of David W. Singleton'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 W. Singleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Singleton more than expected).
Fields of papers citing papers by David W. Singleton
This network shows the impact of papers produced by David W. Singleton. 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 W. Singleton. The network helps show where David W. Singleton may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. Singleton, 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 | 2003 | 118 | |
| 2 | 2005 | 58 | |
| 3 | 2010 | 49 | |
| 4 | 2008 | 37 | |
| 5 | 2004 | 34 | |
| 6 | 2008 | 32 | |
| 7 | 2000 | 29 | |
| 8 | 2002 | 27 | |
| 9 | 2008 | 22 | |
| 10 | 2003 | 16 | |
| 11 | 2016 | 11 | |
| 12 | 2013 | 5 | |
| 13 | 2020 | 3 | |
| 14 | Effectiveness and Usability of a Newly Designed Advanced Bipolar Tissue Sealer, ENSEAL X1 Curved Jaw Tissue Sealer | 2021 | 1 |
About David W. Singleton
David W. Singleton is a scholar working on Genetics, Health, Toxicology and Mutagenesis, Hematology, Neurology and Surgery, having authored 14 papers that have together received 442 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Surgical Sutures and Adhesives (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Ultrasound and Hyperthermia Applications (1 paper), Hemostasis and retained surgical items (1 paper), Neuroblastoma Research and Treatments (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (182 citations), Genetics (138 citations), Physiology (14 citations), Cancer Research (27 citations) and Molecular Biology (71 citations). David W. Singleton has collaborated with scholars based in United States. Frequent co-authors include SA Khan, Yuxin Feng, Jun Yang, Adrian V. Lee, Alvaro Puga, Jorge M. Naciff, Zubin S. Khambatta, Gregory J. Carr, George P. Daston and Jay P. Tiesman. Their work appears in journals such as Molecular and Cellular Endocrinology, Toxicological Sciences, Endocrine Research, Environmental Research and Toxicology.
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.