Denise C. Connolly

7.8k total citations · 1 hit paper
97 papers, 4.5k citations indexed

About

Denise C. Connolly is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Denise C. Connolly has authored 97 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 28 papers in Oncology and 23 papers in Reproductive Medicine. Recurrent topics in Denise C. Connolly's work include Ovarian cancer diagnosis and treatment (23 papers), Virus-based gene therapy research (8 papers) and Ubiquitin and proteasome pathways (7 papers). Denise C. Connolly is often cited by papers focused on Ovarian cancer diagnosis and treatment (23 papers), Virus-based gene therapy research (8 papers) and Ubiquitin and proteasome pathways (7 papers). Denise C. Connolly collaborates with scholars based in United States, Russia and Japan. Denise C. Connolly's co-authors include Thomas C. Hamilton, Kathleen R. Cho, Daniela M. Dinulescu, David T. MacLaughlin, Patricia K. Donahoe, Rafael Pieretti‐Vanmarcke, Paul P. Szotek, Peter T. Masiakos, Frederic I. Preffer and David Dombkowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Denise C. Connolly

96 papers receiving 4.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ovarian cancer side population defines cells with stem cell-like characteristics and Mullerian Inhibiting Substance responsiveness

2006 612 citations Paul P. Szotek, Rafael Pieretti‐Vanmarcke et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Denise C. Connolly United States	35	2.0k	1.5k	868	736	509	97	4.5k
Daniel Rosen United States	37	2.6k 1.3×	1.5k 1.0×	1.0k 1.2×	1.0k 1.4×	612 1.2×	87	4.9k
Steffen Hauptmann Germany	42	2.1k 1.1×	1.4k 0.9×	623 0.7×	1.0k 1.4×	523 1.0×	111	4.9k
Gilad Ben‐Baruch Israel	39	1.4k 0.7×	995 0.7×	1.7k 2.0×	657 0.9×	641 1.3×	152	4.7k
Seiji Mabuchi Japan	42	2.4k 1.2×	1.6k 1.1×	1.5k 1.7×	1.1k 1.5×	317 0.6×	192	5.7k
Kenjiro Sawada Japan	40	2.7k 1.3×	1.3k 0.9×	789 0.9×	1.5k 2.0×	228 0.4×	137	5.0k
Subodh M. Lele United States	41	1.8k 0.9×	1.1k 0.7×	428 0.5×	623 0.8×	194 0.4×	128	4.2k
Christina M. Annunziata United States	37	2.5k 1.2×	2.6k 1.7×	1.1k 1.3×	1.0k 1.4×	457 0.9×	155	5.4k
Barbara Schmalfeldt Germany	33	1.2k 0.6×	1.5k 1.0×	1.1k 1.2×	855 1.2×	147 0.3×	130	4.2k
Elena Ioana Braicu Germany	40	2.1k 1.0×	1.7k 1.1×	2.3k 2.6×	1.2k 1.6×	280 0.6×	303	5.4k
Richard J. Edmondson United Kingdom	36	1.3k 0.7×	1.4k 0.9×	1.2k 1.4×	507 0.7×	444 0.9×	128	3.6k

Countries citing papers authored by Denise C. Connolly

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Boyer, Antonia, Xiao Lei Chen, Douglas B. Flieder, et al.. (2024). Nuclear Focal Adhesion Kinase Protects against Cisplatin Stress in Ovarian Carcinoma. Cancer Research Communications. 4(12). 3165–3179. 1 indexed citations

Elias, Kevin M., Konrad Stawiski, Zuzanna Nowicka, et al.. (2023). Identification of BRCA1/2 mutation female carriers using circulating microRNA profiles. Nature Communications. 14(1). 3350–3350. 11 indexed citations

Cvrljevic, Anna N., Kaisa Huhtinen, Tove J. Grönroos, et al.. (2022). Ovarian Cancers with Low CIP2A Tumor Expression Constitute an APR-246–Sensitive Disease Subtype. Molecular Cancer Therapeutics. 21(7). 1236–1245. 3 indexed citations

Boylan, Kristin L.M., Ashley Petersen, Timothy K. Starr, et al.. (2022). Development of a Multiprotein Classifier for the Detection of Early Stage Ovarian Cancer. Cancers. 14(13). 3077–3077. 7 indexed citations

Martı́nez, Esteban, Alberto M. Vargas, Valerie L. Sodi, et al.. (2021). Cholesterol and CDON Regulate Sonic Hedgehog Release from Pancreatic Cancer Cells. SHILAP Revista de lepidopterología. 7(1). 39–47. 3 indexed citations

Kurimchak, Alison, Valerie L. Sodi, Nishi Srivastava, et al.. (2020). Functional proteomics interrogation of the kinome identifies MRCKA as a therapeutic target in high-grade serous ovarian carcinoma. Science Signaling. 13(619). 19 indexed citations

Perales‐Puchalt, Alfredo, Nikolaos Svoronos, Melanie R. Rutkowski, et al.. (2016). Follicle-Stimulating Hormone Receptor Is Expressed by Most Ovarian Cancer Subtypes and Is a Safe and Effective Immunotherapeutic Target. Clinical Cancer Research. 23(2). 441–453. 82 indexed citations

Gritsina, Galina, Fang Xiao, Shane W. O’Brien, et al.. (2015). Targeted Blockade of JAK/STAT3 Signaling Inhibits Ovarian Carcinoma Growth. Molecular Cancer Therapeutics. 14(4). 1035–1047. 84 indexed citations

Liu, Hanqing, Ilya G. Serebriiskii, Shane W. O’Brien, et al.. (2013). Network Analysis Identifies an HSP90-Central Hub Susceptible in Ovarian Cancer. Clinical Cancer Research. 19(18). 5053–5067. 41 indexed citations

10.

Wang, Yuhua, Adriana S. Beltrán, Karla Juárez‐Moreno, et al.. (2012). Targeting Serous Epithelial Ovarian Cancer with Designer Zinc Finger Transcription Factors. Journal of Biological Chemistry. 287(35). 29873–29886. 37 indexed citations

11.

Nuñez-Cruz, Selene, William J. Quinn, Denise C. Connolly, & Nathalie Scholler. (2011). B cells infiltrating ovarian cancer exhibit a regulatory-like phenotype. (66.26). The Journal of Immunology. 186(1_Supplement). 66.26–66.26. 1 indexed citations

12.

Izumchenko, Eugene, Mahendra Singh, Olga V. Plotnikova, et al.. (2009). NEDD9 Promotes Oncogenic Signaling in Mammary Tumor Development. Cancer Research. 69(18). 7198–7206. 112 indexed citations

13.

Nuñez-Cruz, Selene, et al.. (2009). Genetic Approach to Study Complement Role in Ovarian Cancer (88.24). The Journal of Immunology. 182(Supplement_1). 88.24–88.24. 1 indexed citations

14.

Mabuchi, Seiji, Deborah A. Altomare, Denise C. Connolly, et al.. (2007). RAD001 (Everolimus) Delays Tumor Onset and Progression in a Transgenic Mouse Model of Ovarian Cancer. Cancer Research. 67(6). 2408–2413. 156 indexed citations

15.

Daikoku, Takiko, Susanne Tranguch, Ирина Трофимова, et al.. (2006). Cyclooxygenase-1 Is Overexpressed in Multiple Genetically Engineered Mouse Models of Epithelial Ovarian Cancer. Cancer Research. 66(5). 2527–2531. 64 indexed citations

16.

Szotek, Paul P., Rafael Pieretti‐Vanmarcke, Peter T. Masiakos, et al.. (2006). Ovarian cancer side population defines cells with stem cell-like characteristics and Mullerian Inhibiting Substance responsiveness. Proceedings of the National Academy of Sciences. 103(30). 11154–11159. 612 indexed citations breakdown →

17.

Connolly, Denise C., David L. Greenspan, Rong Wu, et al.. (2000). Loss of fhit expression in invasive cervical carcinomas and intraepithelial lesions associated with invasive disease.. PubMed. 6(9). 3505–10. 52 indexed citations

18.

Greenspan, David L., Denise C. Connolly, Rong Wu, et al.. (1997). Loss of FHIT expression in cervical carcinoma cell lines and primary tumors.. PubMed. 57(21). 4692–8. 126 indexed citations

19.

Holmes, David R., et al.. (1986). Hemodynamic Progression of Adult Valvular Aortic Stenosis. Catheterization and Cardiovascular Diagnosis. 12(3). 145–150. 14 indexed citations

20.

Connolly, Denise C., Lila R. Elveback, & Herbert A. Oxman. (1983). Coronary Heart Disease in Residents of Rochester, Minnesota, 1950-1975. III. Effect of Hypertension and Its Treatment on Survival of Patients With Coronary Artery Disease. Mayo Clinic Proceedings. 58(4). 249–254. 21 indexed citations

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.

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