Alexandria Denis
- Molecular Biology
- Statistics, Probability and Uncertainty top 5%
- Cancer Research
- Oncology
- Public Health, Environmental and Occupational Health
- Co-authors
- Elizabeth IornsNicole PerfitoTimothy M. ErringtonBrian A. NosekMaya B. MathurCourtney K. SoderbergA. LambertRachel Tsui
- Topics
- Cancer-related molecular mechanisms research (4 papers)RNA modifications and cancer (3 papers)MicroRNA in disease regulation (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaImmunityCancer Research
- Partner nations
- United StatesFrance
In The Last Decade
Alexandria Denis
29 papers receiving 373 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 168
- Statistics, Probability and Uncertainty 66
- Cancer Research 66
- Oncology 47
- Public Health, Environmental and Occupational Health 36
Countries citing papers authored by Alexandria Denis
This map shows the geographic impact of Alexandria Denis'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 Alexandria Denis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandria Denis more than expected).
Fields of papers citing papers by Alexandria Denis
This network shows the impact of papers produced by Alexandria Denis. 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 Alexandria Denis. The network helps show where Alexandria Denis may publish in the future.
Co-authorship network of co-authors of Alexandria Denis
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandria Denis. A scholar is included among the top collaborators of Alexandria Denis 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 Alexandria Denis. Alexandria Denis 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 | 老化免疫系の包括的プロファイリングは炎症の保存されたホールマークとしてクローンGZMK+CD8+T細胞を明らかにする【JST・京大機械翻訳】 | 15 |
| 3 | Investigating the replicability of preclinical cancer biologybreakdown → | 170 |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 46 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | The presence in France of 2 parasites of East Asian origin: Diplozoon nipponicum (Monogenea) and Bothriocephalus acheilognathi (Cestoda) in Cyprinus carpio. | 2 |
About Alexandria Denis
Alexandria Denis is a scholar working on Statistics, Probability and Uncertainty, Small Animals and Cancer Research, having authored 30 papers that have together received 389 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (66 citations), Health Informatics (7 citations) and Cancer Research (66 citations). Alexandria Denis has collaborated with scholars based in United States and France. Frequent co-authors include Elizabeth Iorns, Nicole Perfito, Timothy M. Errington, Brian A. Nosek, Maya B. Mathur, Courtney K. Soderberg, A. Lambert, Rachel Tsui, S. R. Williams and John Repass. Their work appears in journals such as SHILAP Revista de lepidopterología, Immunity and Cancer Research.
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.