Denise C. Connolly
- Molecular Biology top 5%
- Oncology top 2%
- Reproductive Medicine top 0.5%
- Cancer Research top 2%
- Genetics top 5%
- Co-authors
- Thomas C. HamiltonKathleen R. ChoDaniela M. DinulescuRafael Pieretti‐VanmarckePatricia K. DonahoeDavid T. MacLaughlinPaul P. SzotekPeter T. Masiakos
- Topics
- Ovarian cancer diagnosis and treatment (23 papers)Virus-based gene therapy research (8 papers)Ubiquitin and proteasome pathways (7 papers)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Denise C. Connolly
96 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.0k
- Oncology 1.5k
- Reproductive Medicine 868
- Cancer Research 736
- Genetics 509
Countries citing papers authored by Denise C. Connolly
This map shows the geographic impact of Denise C. Connolly'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 Denise C. Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise C. Connolly more than expected).
Fields of papers citing papers by Denise C. Connolly
This network shows the impact of papers produced by Denise C. Connolly. 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 Denise C. Connolly. The network helps show where Denise C. Connolly may publish in the future.
Co-authorship network of co-authors of Denise C. Connolly
This figure shows the co-authorship network connecting the top 25 collaborators of Denise C. Connolly. A scholar is included among the top collaborators of Denise C. Connolly 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 Denise C. Connolly. Denise C. Connolly 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 | 11 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 82 | |
| 7 | 84 | |
| 8 | 41 | |
| 9 | 37 | |
| 10 | 1 | |
| 11 | 112 | |
| 12 | 1 | |
| 13 | 156 | |
| 14 | Ovarian cancer side population defines cells with stem cell-like characteristics and Mullerian Inhibiting Substance responsivenessbreakdown → | 612 |
| 15 | 64 | |
| 16 | Loss of fhit expression in invasive cervical carcinomas and intraepithelial lesions associated with invasive disease. | 52 |
| 17 | 21 | |
| 18 | Loss of FHIT expression in cervical carcinoma cell lines and primary tumors. | 126 |
| 19 | 14 | |
| 20 | 21 |
About Denise C. Connolly
Denise C. Connolly is a scholar working on Reproductive Medicine, Oncology and Biophysics, having authored 97 papers that have together received 4.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (23 papers), Virus-based gene therapy research (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Reproductive Medicine (868 citations), Oncology (1.5k citations) and Cancer Research (736 citations). Denise C. Connolly has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Thomas C. Hamilton, Kathleen R. Cho, Daniela M. Dinulescu, Rafael Pieretti‐Vanmarcke, Patricia K. Donahoe, David T. MacLaughlin, Paul P. Szotek, Peter T. Masiakos, Frederic I. Preffer and Rosemary Foster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.