Edward Simpson
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- Ubiquitin and proteasome pathways 2
- Genetics 9
- Estrogen and related hormone effects 6
- Co-authors
- Carole R. Mendelson (3 shared papers)Veena R. Agarwal (1 shared paper)Yan Zhao (1 shared paper)Ying Zhao (1 shared paper)John E. Nichols (1 shared paper)Michael R. Waterman (2 shared papers)D. Stirling (1 shared paper)Murray D. Mitchell (1 shared paper)
- Journals
- Journal of Endocrinology (3 papers)Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)ASN NEURO (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Edward Simpson
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Genetics 449
- Cancer Research 156
- Agronomy and Crop Science 116
- Equine 17
- Pharmacology 169
Countries citing papers authored by Edward Simpson
This map shows the geographic impact of Edward Simpson'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 Edward Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Simpson more than expected).
Fields of papers citing papers by Edward Simpson
This network shows the impact of papers produced by Edward Simpson. 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 Edward Simpson. The network helps show where Edward Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 380 | |
| 2 | 1996 | 158 | |
| 3 | 1991 | 77 | |
| 4 | 1988 | 66 | |
| 5 | 2020 | 59 | |
| 6 | 2010 | 57 | |
| 7 | 2022 | 38 | |
| 8 | 1987 | 30 | |
| 9 | 1993 | 29 | |
| 10 | 1978 | 24 | |
| 11 | 2020 | 21 | |
| 12 | 2017 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 1977 | 15 | |
| 20 | 2015 | 13 |
About Edward Simpson
Edward Simpson is a scholar working on Molecular Biology, Genetics, Cancer Research, Agronomy and Crop Science and Physiology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Reproductive Physiology in Livestock (4 papers), Adipose Tissue and Metabolism (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA and protein synthesis mechanisms (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Genetics (449 citations), Cancer Research (156 citations), Agronomy and Crop Science (116 citations), Equine (17 citations) and Pharmacology (169 citations). Edward Simpson has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Carole R. Mendelson, Veena R. Agarwal, Yan Zhao, Ying Zhao, John E. Nichols, Michael R. Waterman, D. Stirling, Murray D. Mitchell, R.J. Rodgers and Yunlong Liu. Their work appears in journals such as Journal of Endocrinology, Endocrinology, Journal of Biological Chemistry, ASN NEURO and Journal of Clinical Microbiology.
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.