Dimitra Sasaroli

932 total citations
9 papers, 756 citations indexed

About

Dimitra Sasaroli is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Dimitra Sasaroli has authored 9 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology and Allergy. Recurrent topics in Dimitra Sasaroli's work include Angiogenesis and VEGF in Cancer (3 papers), Cell Adhesion Molecules Research (3 papers) and AI in cancer detection (2 papers). Dimitra Sasaroli is often cited by papers focused on Angiogenesis and VEGF in Cancer (3 papers), Cell Adhesion Molecules Research (3 papers) and AI in cancer detection (2 papers). Dimitra Sasaroli collaborates with scholars based in United States, Greece and India. Dimitra Sasaroli's co-authors include George Coukos, Phyllis A. Gimotty, Ronald J. Buckanovich, D Katsaros, Fabián Benencia, Andrea Facciabene, Klara Balint, Sarah Kim-Hellmuth, Jeffrey Botbyl and Lance A. Liotta and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Dimitra Sasaroli

9 papers receiving 738 citations

Peers

Dimitra Sasaroli

ONCOL

MB

IMMUN

CR

BE

Lidia Moyano‐Galceran Sweden

Hua Kang China

Melissa S. Thompson United States

Gaia Barisione Italy

Pamela Klingbeil Germany

Sara J. Adair United States

Stefanie Schanz Germany

Leslie Calapre Australia

Andrew L. Ji United States

Tyler Alban United States

Lidia Moyano‐Galceran Sweden

Dimitra Sasaroli

330 ×0.9

ONCOL

265 ×0.8

MB

162 ×0.5

IMMUN

155 ×1.2

CR

80 ×1.1

BE

Citations per year, relative to Dimitra Sasaroli Dimitra Sasaroli (= 1×) peers Lidia Moyano‐Galceran

Countries citing papers authored by Dimitra Sasaroli

Since Specialization

Citations

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

Fields of papers citing papers by Dimitra Sasaroli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dimitra Sasaroli. 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 Dimitra Sasaroli. The network helps show where Dimitra Sasaroli may publish in the future.

Co-authorship network of co-authors of Dimitra Sasaroli

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

All Works

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9 of 9 papers shown

1.

Janowczyk, Andrew, Sharat Chandran, Rajesh R. Singh, et al.. (2011). High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Transactions on Biomedical Engineering. 59(5). 1240–1252. 26 indexed citations

2.

Sasaroli, Dimitra, Phyllis A. Gimotty, Harsh B. Pathak, et al.. (2011). Novel surface targets and serum biomarkers from the ovarian cancer vasculature. Cancer Biology & Therapy. 12(3). 169–180. 32 indexed citations

3.

Li, Chunsheng, Dimitra Sasaroli, Xiang Chen, et al.. (2011). Tumor vascular biomarkers: New opportunities for cancer diagnostics1. Cancer Biomarkers. 8(4-5). 253–271. 12 indexed citations

4.

Janowczyk, Andrew, Sharat Chandran, Dimitra Sasaroli, et al.. (2009). Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. Lecture notes in computer science. 12(Pt 1). 230–238. 9 indexed citations

5.

Sasaroli, Dimitra, George Coukos, & Nathalie Scholler. (2009). Beyond CA125: The Coming of Age of Ovarian Cancer Biomarkers. Biomarkers in Medicine. 3(3). 275–288. 37 indexed citations

6.

Buckanovich, Ronald J., Andrea Facciabene, Sarah Kim-Hellmuth, et al.. (2007). Endothelin B receptor mediates the endothelial barrier to T cell homing to tumors and disables immune therapy. Nature Medicine. 14(1). 28–36. 430 indexed citations

7.

Buckanovich, Ronald J., Dimitra Sasaroli, Jeffrey Botbyl, et al.. (2007). Tumor Vascular Proteins As Biomarkers in Ovarian Cancer. Journal of Clinical Oncology. 25(7). 852–861. 161 indexed citations

8.

Buckanovich, Ronald J., Dimitra Sasaroli, Ann O’Brien-Jenkins, et al.. (2006). Use of immuno-LCM to identify the in situ expression profile of cellular constituents of the tumor microenvironment. Cancer Biology & Therapy. 5(6). 635–642. 48 indexed citations

9.

Buckanovich, Ronald J., et al.. (2006). Endothelin receptor B predicts poor prognosis in epithelial ovarian cancer (EOC) and can be inhibited to increase intratumoral T cells and enhance tumor vaccine therapy. Journal of Clinical Oncology. 24(18_suppl). 2524–2524. 1 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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