David W. Singleton
Impact in
-
- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
- Genetics 10
- Estrogen and related hormone effects 10
-
- Retinoids in leukemia and cellular processes 2
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 1
- Co-authors
- SA Khan (10 shared papers)Yuxin Feng (4 shared papers)Jun Yang (2 shared papers)Alvaro Puga (2 shared papers)Adrian V. Lee (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)PLoS ONE (1 paper)Endocrinology (1 paper)Toxicology (1 paper)
- Partner nations
- United States
In The Last Decade
David W. Singleton
14 papers receiving 432 citations
Peers
Comparison fields: 5 of 77
- Health, Toxicology and Mutagenesis 178
- Genetics 193
- Cancer Research 65
- Reproductive Medicine 22
- Physiology 11
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 | 116 | |
| 2 | 2005 | 58 | |
| 3 | 2010 | 49 | |
| 4 | 2008 | 38 | |
| 5 | 2004 | 34 | |
| 6 | 2008 | 32 | |
| 7 | 2000 | 28 | |
| 8 | 2002 | 28 | |
| 9 | 2008 | 22 | |
| 10 | 2003 | 16 | |
| 11 | 2016 | 10 | |
| 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, Molecular Biology, Health, Toxicology and Mutagenesis, Surgery and Small Animals, having authored 14 papers that have together received 440 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Retinoids in leukemia and cellular processes (2 papers), Reproductive System and Pregnancy (2 papers), Thyroid and Parathyroid Surgery (2 papers), RNA Research and Splicing (2 papers), Animal testing and alternatives (2 papers) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (178 citations), Genetics (193 citations), Cancer Research (65 citations), Reproductive Medicine (22 citations) and Physiology (11 citations). David W. Singleton has collaborated with scholars based in United States. Frequent co-authors include SA Khan, Yuxin Feng, Jun Yang, Alvaro Puga, Adrian V. Lee, Jorge M. Naciff, Zubin S. Khambatta, Gregory J. Carr, Jay P. Tiesman and George P. Daston. Their work appears in journals such as Molecular and Cellular Endocrinology, Toxicological Sciences, PLoS ONE, Endocrinology 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.