Dalia K. Omran

2.3k total citations
8 papers, 158 citations indexed

About

Dalia K. Omran is a scholar working on Oncology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Dalia K. Omran has authored 8 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Reproductive Medicine and 3 papers in Molecular Biology. Recurrent topics in Dalia K. Omran's work include Ovarian cancer diagnosis and treatment (5 papers), PARP inhibition in cancer therapy (3 papers) and Immunotherapy and Immune Responses (2 papers). Dalia K. Omran is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), PARP inhibition in cancer therapy (3 papers) and Immunotherapy and Immune Responses (2 papers). Dalia K. Omran collaborates with scholars based in United States and United Kingdom. Dalia K. Omran's co-authors include Daniel J. Powell, Monika A. Eiva, Jessica Chacon, Sarah B. Gitto, Alba Rodríguez-García, Fiona Simpkins, Lauren E. Schwartz, Matthew K. Robinson, Stavros Rafail and Ronny Drapkin and has published in prestigious journals such as Journal of Clinical Oncology, Genome biology and Molecules.

In The Last Decade

Dalia K. Omran

8 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dalia K. Omran United States	7	112	62	48	16	16	8	158
Stephen J. Luen Australia	3	108 1.0×	43 0.7×	61 1.3×	11 0.7×	21 1.3×	7	143
Gürkan Mollaoglu United States	5	101 0.9×	63 1.0×	92 1.9×	2 0.1×	27 1.7×	5	222
Dzana Dervovic Canada	9	112 1.0×	129 2.1×	87 1.8×	2 0.1×	16 1.0×	12	251
Julie Kilpatrick United States	5	82 0.7×	51 0.8×	41 0.9×	10 0.6×	5 0.3×	12	123
C. Scott United Kingdom	2	47 0.4×	13 0.2×	22 0.5×	29 1.8×	9 0.6×	3	95
Nicole Fairweather Australia	4	55 0.5×	23 0.4×	60 1.3×	26 1.6×	26 1.6×	4	141
Caroline Kreuzinger Austria	8	75 0.7×	40 0.6×	62 1.3×	53 3.3×	39 2.4×	13	167
Duygu Ozmadenci United States	4	52 0.5×	48 0.8×	75 1.6×	8 0.5×	27 1.7×	7	152

Countries citing papers authored by Dalia K. Omran

Since Specialization

Citations

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

Fields of papers citing papers by Dalia K. Omran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dalia K. Omran. 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 Dalia K. Omran. The network helps show where Dalia K. Omran may publish in the future.

Co-authorship network of co-authors of Dalia K. Omran

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

All Works

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8 of 8 papers shown

Eiva, Monika A., Fang Liu, Dalia K. Omran, et al.. (2024). CD137+ tumor infiltrating lymphocytes predicts ovarian cancer survival. Gynecologic Oncology. 184. 74–82. 5 indexed citations

Simpkins, Fiona, Dimitrios Nasioudis, Stephanie L. Wethington, et al.. (2024). Combination ATR and PARP Inhibitor (CAPRI): A phase 2 study of ceralasertib plus olaparib in patients with recurrent, platinum-sensitive epithelial ovarian cancer (cohort A).. Journal of Clinical Oncology. 42(16_suppl). 5510–5510. 7 indexed citations

Omran, Dalia K., Lukas M. Weber, Euihye Jung, et al.. (2023). Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors. Genome biology. 24(1). 239–239. 15 indexed citations

Barr, Jeffrey L., Anthony Restaino, Natalia Tulina, et al.. (2021). Intra-Tumoral Nerve-Tracing in a Novel Syngeneic Model of High-Grade Serous Ovarian Carcinoma. Cells. 10(12). 3491–3491. 13 indexed citations

Eiva, Monika A., Dalia K. Omran, Jessica Chacon, & Daniel J. Powell. (2021). Systematic analysis of CD39, CD103, CD137, and PD‐1 as biomarkers for naturally occurring tumor antigen‐specific TILs. European Journal of Immunology. 52(1). 96–108. 30 indexed citations

Riad, Aladdin, Sarah B. Gitto, Hwan Lee, et al.. (2020). PARP Theranostic Auger Emitters Are Cytotoxic in BRCA Mutant Ovarian Cancer and Viable Tumors from Ovarian Cancer Patients Enable Ex-Vivo Screening of Tumor Response. Molecules. 25(24). 6029–6029. 21 indexed citations

Gitto, Sarah B., Hyoung Kim, Stavros Rafail, et al.. (2019). An autologous humanized patient-derived-xenograft platform to evaluate immunotherapy in ovarian cancer. Gynecologic Oncology. 156(1). 222–232. 35 indexed citations

Rodríguez-García, Alba, Mathilde Poussin, Alina C. Boesteanu, et al.. (2019). CAR T Cells Targeting MISIIR for the Treatment of Ovarian Cancer and Other Gynecologic Malignancies. Molecular Therapy. 28(2). 548–560. 32 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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