Ece Kadioglu

1.2k total citations · 1 hit paper
8 papers, 883 citations indexed

About

Ece Kadioglu is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Ece Kadioglu has authored 8 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ece Kadioglu's work include Peptidase Inhibition and Analysis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Ece Kadioglu is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Ece Kadioglu collaborates with scholars based in Switzerland, Germany and Spain. Ece Kadioglu's co-authors include Michele De Palma, Nicolò Rigamonti, Martina Schmittnaegel, Damya Laoui, Anna Kiialainen, Chia-Huey Ooi, Yvonne Kienast, Ioanna Keklikoglou, Ching Ching Leow and Carola H. Ries and has published in prestigious journals such as Science Translational Medicine, Cell Reports and The Journal of Pathology.

In The Last Decade

Ece Kadioglu

8 papers receiving 872 citations

Hit Papers

Dual angiopoietin-2 and VEGFA inhibition elicits antitumo... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ece Kadioglu Switzerland 7 462 430 355 255 128 8 883
Martina Schmittnaegel Switzerland 7 405 0.9× 275 0.6× 427 1.2× 146 0.6× 92 0.7× 8 761
Kyla Driscoll United States 8 618 1.3× 453 1.1× 315 0.9× 172 0.7× 117 0.9× 17 994
Theresa Placke Germany 8 757 1.6× 331 0.8× 410 1.2× 216 0.8× 156 1.2× 13 1.2k
Gregor Werba United States 13 571 1.2× 390 0.9× 429 1.2× 182 0.7× 147 1.1× 27 1.1k
Manglio Rizzo Argentina 16 388 0.8× 351 0.8× 214 0.6× 155 0.6× 103 0.8× 44 910
Amit Goldstein United States 6 485 1.0× 282 0.7× 246 0.7× 169 0.7× 181 1.4× 6 781
Satoshi Takagi Japan 14 571 1.2× 372 0.9× 174 0.5× 164 0.6× 140 1.1× 30 879
Jan Dominik Kuhlmann Germany 18 446 1.0× 510 1.2× 185 0.5× 486 1.9× 131 1.0× 62 1.1k
Mark J.A. Schoonderwoerd Netherlands 12 524 1.1× 278 0.6× 348 1.0× 115 0.5× 113 0.9× 15 850
Inge Lodewijckx Belgium 5 425 0.9× 273 0.6× 291 0.8× 119 0.5× 132 1.0× 7 738

Countries citing papers authored by Ece Kadioglu

Since Specialization
Citations

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

Fields of papers citing papers by Ece Kadioglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ece Kadioglu

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

All Works

8 of 8 papers shown
1.
López‐Janeiro, Álvaro, María Villalba, Mikel Ariz, et al.. (2023). Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images. npj Digital Medicine. 6(1). 48–48. 5 indexed citations
2.
López‐Janeiro, Álvaro, María Villalba, Ignacio Ruz‐Caracuel, et al.. (2022). The association between the tumor immune microenvironments and clinical outcome in low‐grade, early‐stage endometrial cancer patients. The Journal of Pathology. 258(4). 426–436. 19 indexed citations
3.
López‐Janeiro, Álvaro, Ignacio Ruz‐Caracuel, Vivian de los Rı́os, et al.. (2021). Proteomic Analysis of Low-Grade, Early-Stage Endometrial Carcinoma Reveals New Dysregulated Pathways Associated with Cell Death and Cell Signaling. Cancers. 13(4). 794–794. 36 indexed citations
4.
Martínez-Usatorre, Amaia, Ece Kadioglu, Gaël Boivin, et al.. (2021). Overcoming microenvironmental resistance to PD-1 blockade in genetically engineered lung cancer models. Science Translational Medicine. 13(606). 61 indexed citations
5.
Keklikoglou, Ioanna, Ece Kadioglu, Stefan Bissinger, et al.. (2018). Periostin Limits Tumor Response to VEGFA Inhibition. Cell Reports. 22(10). 2530–2540. 33 indexed citations
6.
Harney, Allison S., George S. Karagiannis, Jeanine Pignatelli, et al.. (2017). The Selective Tie2 Inhibitor Rebastinib Blocks Recruitment and Function of Tie2Hi Macrophages in Breast Cancer and Pancreatic Neuroendocrine Tumors. Molecular Cancer Therapeutics. 16(11). 2486–2501. 105 indexed citations
7.
Schmittnaegel, Martina, Nicolò Rigamonti, Ece Kadioglu, et al.. (2017). Dual angiopoietin-2 and VEGFA inhibition elicits antitumor immunity that is enhanced by PD-1 checkpoint blockade. Science Translational Medicine. 9(385). 444 indexed citations breakdown →
8.
Rigamonti, Nicolò, et al.. (2014). Role of Angiopoietin-2 in Adaptive Tumor Resistance to VEGF Signaling Blockade. Cell Reports. 8(3). 696–706. 180 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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