Daniela M. Dinulescu

6.0k total citations · 3 hit papers
50 papers, 4.3k citations indexed

About

Daniela M. Dinulescu is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, Daniela M. Dinulescu has authored 50 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Reproductive Medicine and 16 papers in Oncology. Recurrent topics in Daniela M. Dinulescu's work include Ovarian cancer diagnosis and treatment (17 papers), PARP inhibition in cancer therapy (6 papers) and Reproductive Biology and Fertility (5 papers). Daniela M. Dinulescu is often cited by papers focused on Ovarian cancer diagnosis and treatment (17 papers), PARP inhibition in cancer therapy (6 papers) and Reproductive Biology and Fertility (5 papers). Daniela M. Dinulescu collaborates with scholars based in United States, China and Switzerland. Daniela M. Dinulescu's co-authors include Roger D. Cone, Wei Fan, Tyler Jacks, Bradley J. Quade, Denise Crowley, Nina Pronchuk, William F. Colmers, Michael A. Cowley, Tan A. Ince and Denise C. Connolly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Daniela M. Dinulescu

50 papers receiving 4.3k citations

Hit Papers

Ovarian cancer side population defines cells with stem ce... 1999 2026 2008 2017 2006 1999 2013 200 400 600

Peers

Daniela M. Dinulescu
Linda A. Schuler United States
Anthony J. Mason United States
Gábor Halmos United States
Kate Groot United States
Jo W.M. Höppener Netherlands
Linda A. Schuler United States
Daniela M. Dinulescu
Citations per year, relative to Daniela M. Dinulescu Daniela M. Dinulescu (= 1×) peers Linda A. Schuler

Countries citing papers authored by Daniela M. Dinulescu

Since Specialization
Citations

This map shows the geographic impact of Daniela M. Dinulescu'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 Daniela M. Dinulescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela M. Dinulescu more than expected).

Fields of papers citing papers by Daniela M. Dinulescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela M. Dinulescu. 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 Daniela M. Dinulescu. The network helps show where Daniela M. Dinulescu may publish in the future.

Co-authorship network of co-authors of Daniela M. Dinulescu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela M. Dinulescu. A scholar is included among the top collaborators of Daniela M. Dinulescu 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 Daniela M. Dinulescu. Daniela M. Dinulescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yi, Meihui, Zhaoqianqi Feng, Hongjian He, Daniela M. Dinulescu, & Bing Xu. (2023). Evaluating Alkaline Phosphatase-Instructed Self-Assembly of d-Peptides for Selectively Inhibiting Ovarian Cancer Cells. Journal of Medicinal Chemistry. 66(14). 10027–10035. 11 indexed citations
2.
Li, Ran, Thomas S.C. Ng, Stephanie J. Wang, et al.. (2021). Therapeutically reprogrammed nutrient signalling enhances nanoparticulate albumin bound drug uptake and efficacy in KRAS-mutant cancer. Nature Nanotechnology. 16(7). 830–839. 94 indexed citations
3.
Baldwin, Paige, et al.. (2019). Nanoformulation of Talazoparib Delays Tumor Progression and Ascites Formation in a Late Stage Cancer Model. Frontiers in Oncology. 9. 353–353. 19 indexed citations
4.
Wang, Huaimin, Zhaoqianqi Feng, Cuihong Yang, et al.. (2018). Unraveling the Cellular Mechanism of Assembling Cholesterols for Selective Cancer Cell Death. Molecular Cancer Research. 17(4). 907–917. 19 indexed citations
5.
Li, Jie, Yi Kuang, Junfeng Shi, et al.. (2015). Enzyme‐Instructed Intracellular Molecular Self‐Assembly to Boost Activity of Cisplatin against Drug‐Resistant Ovarian Cancer Cells. Angewandte Chemie International Edition. 54(45). 13307–13311. 170 indexed citations
6.
Öhman, Anders, et al.. (2014). Advances in Tumor Screening, Imaging, and Avatar Technologies for High-Grade Serous Ovarian Cancer. Frontiers in Oncology. 4. 322–322. 13 indexed citations
7.
Morgan, Stephanie, et al.. (2014). Targeting Platinum Resistant Disease in Ovarian Cancer. Current Medicinal Chemistry. 21(26). 3009–3020. 10 indexed citations
8.
Kulkarni, Ashish, Bhaskar Roy, Gregory A. Wyant, et al.. (2013). Supramolecular Nanoparticles That Target Phosphoinositide-3-Kinase Overcome Insulin Resistance and Exert Pronounced Antitumor Efficacy. Cancer Research. 73(23). 6987–6997. 20 indexed citations
9.
Perets, Ruth, Gregory A. Wyant, Katherine W. Muto, et al.. (2013). Transformation of the Fallopian Tube Secretory Epithelium Leads to High-Grade Serous Ovarian Cancer in Brca;Tp53;Pten Models. Cancer Cell. 24(6). 751–765. 402 indexed citations breakdown →
10.
Taguchi, Ayumu, Katerina Politi, Sharon J. Pitteri, et al.. (2011). Lung Cancer Signatures in Plasma Based on Proteome Profiling of Mouse Tumor Models. Cancer Cell. 20(3). 289–299. 120 indexed citations
11.
Sabău, M, et al.. (2010). Hypoparathyroidism diagnosed by neurological signs and widespread intracerebral calcifications. Romanian Journal of Neurology. 9(1). 44–50. 2 indexed citations
12.
Romero, Iris L., Ilyssa O. Gordon, Sujatha Jagadeeswaran, et al.. (2009). Effects of Oral Contraceptives or a Gonadotropin-Releasing Hormone Agonist on Ovarian Carcinogenesis in Genetically Engineered Mice. Cancer Prevention Research. 2(9). 792–799. 13 indexed citations
13.
Abbott, Karen L., Alison V. Nairn, John F. McDonald, et al.. (2008). Focused glycomic analysis of the N ‐linked glycan biosynthetic pathway in ovarian cancer. PROTEOMICS. 8(16). 3210–3220. 98 indexed citations
14.
Kirsch, David G., Daniela M. Dinulescu, John B. Miller, et al.. (2007). A spatially and temporally restricted mouse model of soft tissue sarcoma. Nature Medicine. 13(8). 992–997. 225 indexed citations
15.
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 →
16.
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
17.
Dinulescu, Daniela M., et al.. (2004). Role of K-ras and Pten in the development of mouse models of endometriosis and endometrioid ovarian cancer. Nature Medicine. 11(1). 63–70. 458 indexed citations
18.
Dinulescu, Daniela M., Lisa J. Wood, Lei Shen, et al.. (2003). c-CBL is not required for leukemia induction by Bcr-Abl in mice. Oncogene. 22(55). 8852–8860. 12 indexed citations
19.
Fan, Wei, et al.. (2000). The Central Melanocortin System Can Directly Regulate Serum Insulin Levels*. Endocrinology. 141(9). 3072–3079. 229 indexed citations
20.
Cowley, Michael A., Nina Pronchuk, Wei Fan, et al.. (1999). Integration of NPY, AGRP, and Melanocortin Signals in the Hypothalamic Paraventricular Nucleus. Neuron. 24(1). 155–163. 508 indexed citations breakdown →

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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