Anne Ferguson
- Molecular Biology top 5%
- Genetics top 5%
- Oncology top 5%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Nancy E. DavidsonSaraswati SukumarStephen B. BaylinRena G. LapidusJames G. HermanChristopher B. UmbrichtElla EvronJeffrey R. Marks
- Topics
- Epigenetics and DNA Methylation (9 papers)Estrogen and related hormone effects (6 papers)Cancer-related gene regulation (4 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Anne Ferguson
26 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.9k
- Genetics 646
- Oncology 521
- Cancer Research 288
- Pulmonary and Respiratory Medicine 156
Countries citing papers authored by Anne Ferguson
This map shows the geographic impact of Anne Ferguson'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 Anne Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Ferguson more than expected).
Fields of papers citing papers by Anne Ferguson
This network shows the impact of papers produced by Anne Ferguson. 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 Anne Ferguson. The network helps show where Anne Ferguson may publish in the future.
Co-authorship network of co-authors of Anne Ferguson
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Ferguson. A scholar is included among the top collaborators of Anne Ferguson 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 Anne Ferguson. Anne Ferguson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 253 | |
| 5 | 165 | |
| 6 | Transcriptional activation of estrogen receptor alpha in human breast cancer cells by histone deacetylase inhibition. | 189 |
| 7 | 33 | |
| 8 | 9 | |
| 9 | 35 | |
| 10 | 132 | |
| 11 | 34 | |
| 12 | 7 | |
| 13 | Methylation of estrogen and progesterone receptor gene 5' CpG islands correlates with lack of estrogen and progesterone receptor gene expression in breast tumors. | 203 |
| 14 | Demethylation of the estrogen receptor gene in estrogen receptor-negative breast cancer cells can reactivate estrogen receptor gene expression. | 244 |
| 15 | 10 | |
| 16 | 16 | |
| 17 | 28 | |
| 18 | 52 | |
| 19 | 22 | |
| 20 | 12 |
About Anne Ferguson
Anne Ferguson is a scholar working on Gastroenterology, Genetics and Emergency Medicine, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Estrogen and related hormone effects (6 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Genetics (646 citations) and Cancer Research (288 citations). Anne Ferguson has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Nancy E. Davidson, Saraswati Sukumar, Stephen B. Baylin, Rena G. Lapidus, James G. Herman, Christopher B. Umbricht, Ella Evron, Jeffrey R. Marks, William G. Nelson and Xiaowei Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.
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.