Ann de Peyster
- Health, Toxicology and Mutagenesis top 5%
- Plant Science top 10%
- Molecular Biology
- Cancer Research
- Pollution
- Co-authors
- Hyun-Jung ParkPenelope J E QuintanaCraig A. MolgaardKenneth SchiffMartyn T. SmithLester PackerAlexandre QuintanilhaDonald J. Slymen
- Topics
- Effects and risks of endocrine disrupting chemicals (6 papers)Carcinogens and Genotoxicity Assessment (6 papers)Research in Cotton Cultivation (4 papers)
- Journals
- Environmental Science & TechnologyBiochemical and Biophysical Research CommunicationsBiochemical Pharmacology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ann de Peyster
31 papers receiving 547 citations
Peers
Comparison fields: 5 of 117
- Health, Toxicology and Mutagenesis 219
- Plant Science 189
- Molecular Biology 98
- Cancer Research 79
- Pollution 56
Countries citing papers authored by Ann de Peyster
This map shows the geographic impact of Ann de Peyster'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 Ann de Peyster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann de Peyster more than expected).
Fields of papers citing papers by Ann de Peyster
This network shows the impact of papers produced by Ann de Peyster. 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 Ann de Peyster. The network helps show where Ann de Peyster may publish in the future.
Co-authorship network of co-authors of Ann de Peyster
This figure shows the co-authorship network connecting the top 25 collaborators of Ann de Peyster. A scholar is included among the top collaborators of Ann de Peyster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ann de Peyster. Ann de Peyster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | Effect of oral methyl-t-butyl ether (MTBE) on the male mouse reproductive tract and oxidative stress in liver | 0 |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 33 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 26 | |
| 12 | 54 | |
| 13 | 37 | |
| 14 | 17 | |
| 15 | 22 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 22 | |
| 19 | 26 | |
| 20 | 2 |
About Ann de Peyster
Ann de Peyster is a scholar working on Health, Toxicology and Mutagenesis, Physiology and Cancer Research, having authored 32 papers that have together received 578 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Research in Cotton Cultivation (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (219 citations), Physiology (29 citations) and Cancer Research (79 citations). Ann de Peyster has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Hyun-Jung Park, Penelope J E Quintana, Craig A. Molgaard, Kenneth Schiff, Martyn T. Smith, Lester Packer, Alexandre Quintanilha, Donald J. Slymen, Valentine A. Lance and Richard Sauerheber. Their work appears in journals such as Environmental Science & Technology, Biochemical and Biophysical Research Communications and Biochemical Pharmacology.
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.