Ksenija Kanjer

458 total citations
32 papers, 336 citations indexed

About

Ksenija Kanjer is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ksenija Kanjer has authored 32 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 12 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Ksenija Kanjer's work include AI in cancer detection (12 papers), Estrogen and related hormone effects (9 papers) and HER2/EGFR in Cancer Research (9 papers). Ksenija Kanjer is often cited by papers focused on AI in cancer detection (12 papers), Estrogen and related hormone effects (9 papers) and HER2/EGFR in Cancer Research (9 papers). Ksenija Kanjer collaborates with scholars based in Serbia, Canada and Germany. Ksenija Kanjer's co-authors include Marko Radulović, Dragica Nikolić‐Vukosavljević, Zora Nešković‐Konstantinović, Nebojša T. Milošević, Konstantinos N. Plataniotis, Xingyu Li, Vesna Mandušić, Z. Tomasevic, Mirjana Branković-Magić and Bogomir Dimitrijević and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Ksenija Kanjer

31 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ksenija Kanjer Serbia 13 110 103 93 90 55 32 336
Tomoharu Kiyuna Japan 9 85 0.8× 138 1.3× 161 1.7× 115 1.3× 28 0.5× 29 396
Sherine Salama Canada 9 59 0.5× 87 0.8× 126 1.4× 49 0.5× 28 0.5× 15 320
Gillian O’Hurley Ireland 10 68 0.6× 53 0.5× 50 0.5× 198 2.2× 22 0.4× 15 369
Thierry Pécot United States 13 131 1.2× 63 0.6× 67 0.7× 262 2.9× 21 0.4× 34 502
Willem Jacob Belgium 8 49 0.4× 72 0.7× 86 0.9× 193 2.1× 33 0.6× 15 596
Jerome Cheng United States 14 101 0.9× 185 1.8× 305 3.3× 117 1.3× 41 0.7× 49 627
Barbara Weyn Belgium 12 53 0.5× 52 0.5× 103 1.1× 120 1.3× 29 0.5× 20 388
Ramón Viñas United Kingdom 6 82 0.7× 187 1.8× 263 2.8× 134 1.5× 26 0.5× 9 523
Mervi Jumppanen Finland 4 215 2.0× 87 0.8× 89 1.0× 211 2.3× 38 0.7× 5 555

Countries citing papers authored by Ksenija Kanjer

Since Specialization
Citations

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

Fields of papers citing papers by Ksenija Kanjer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ksenija Kanjer

This figure shows the co-authorship network connecting the top 25 collaborators of Ksenija Kanjer. A scholar is included among the top collaborators of Ksenija Kanjer 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 Ksenija Kanjer. Ksenija Kanjer 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.
Radulović, Marko, et al.. (2024). Bridging Histopathology and Radiomics Toward Prognosis of Metastasis in Early Breast Cancer. Microscopy and Microanalysis. 30(4). 751–758. 2 indexed citations
2.
Kanjer, Ksenija, et al.. (2020). Analysis of Spatial Distribution and Prognostic Value of Different Pan Cytokeratin Immunostaining Intensities in Breast Tumor Tissue Sections. International Journal of Molecular Sciences. 21(12). 4434–4434. 4 indexed citations
3.
Li, Xingyu, Marko Radulović, Ksenija Kanjer, & Konstantinos N. Plataniotis. (2019). Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder. IEEE Access. 7. 36433–36445. 43 indexed citations
5.
Srdić‐Rajić, Tatjana, Juan F. Santibáñez, Ksenija Kanjer, et al.. (2017). Iscador Qu inhibits doxorubicin-induced senescence of MCF7 cells. Scientific Reports. 7(1). 3763–3763. 14 indexed citations
7.
Tomasevic, Z., et al.. (2015). Early prognosis of metastasis risk in inflammatory breast cancer by texture analysis of tumour microscopic images. Biomedical Microdevices. 17(5). 92–92. 12 indexed citations
8.
Kanjer, Ksenija, Nebojša T. Milošević, Z. Tomasevic, et al.. (2015). Gray-Level Co-Occurrence Matrix Texture Analysis of Breast Tumor Images in Prognosis of Distant Metastasis Risk. Microscopy and Microanalysis. 21(3). 646–654. 41 indexed citations
9.
Kanjer, Ksenija, et al.. (2015). Multifractal analysis of tumour microscopic images in the prediction of breast cancer chemotherapy response. Biomedical Microdevices. 17(5). 93–93. 7 indexed citations
10.
Damjanović, Ana, Ivana Z. Matić, Srdjan Nikolić, et al.. (2014). Metformin Effects on Malignant Cells and Healthy PBMC; The Influence of Metformin on the Phenotype of Breast Cancer Cells. Pathology & Oncology Research. 21(3). 605–612. 3 indexed citations
11.
Džodić, Radan, Marko Buta, Ksenija Kanjer, et al.. (2014). Trefoil Factor 1 in Early Breast Carcinoma: A Potential Indicator of Clinical Outcome during the First 3 Years of Follow-Up. International Journal of Medical Sciences. 11(7). 663–673. 13 indexed citations
12.
Kanjer, Ksenija, et al.. (2013). Treatment Response to Preoperative Anthracycline-Based Chemotherapy in Locally Advanced Breast Cancer: The Relevance of Proliferation and Apoptosis Rates. Pathology & Oncology Research. 19(3). 577–588. 7 indexed citations
13.
Mandušić, Vesna, Bogomir Dimitrijević, Dragica Nikolić‐Vukosavljević, et al.. (2012). Different associations of estrogen receptor β isoforms, ERβ1 and ERβ2, expression levels with tumor size and survival in early- and late-onset breast cancer. Cancer Letters. 321(1). 73–79. 15 indexed citations
14.
Galon, Jérôme, et al.. (2011). PP 40 Tumor microenvironment and prognosis in breast carcinoma. European Journal of Cancer. 47. S33–S33. 1 indexed citations
15.
Mandušić, Vesna, Dragica Nikolić‐Vukosavljević, Nikola Tanić, et al.. (2007). Expression of estrogen receptor β wt isoform (ERβ1) and ERβΔ5 splice variant mRNAs in sporadic breast cancer. Journal of Cancer Research and Clinical Oncology. 133(8). 571–579. 15 indexed citations
16.
Nikolić‐Vukosavljević, Dragica, et al.. (2005). Cathepsin D-related Disease-free Interval in pT1 Primary Breast Carcinomas: A Pilot Study. Clinical & Experimental Metastasis. 22(4). 363–368. 3 indexed citations
17.
Kanjer, Ksenija, et al.. (2002). Natural History of Estrogen Receptor-Negative, Progesterone Receptor-Positive Breast Cancer. The International Journal of Biological Markers. 17(3). 196–200. 17 indexed citations
18.
Nešković‐Konstantinović, Zora, Dragica Nikolić‐Vukosavljević, Mirjana Branković-Magić, et al.. (1999). Expression of epidermal growth factor receptor in breast cancer, from early stages to advanced disease.. PubMed. 18(3). 347–55. 15 indexed citations
19.
Branković-Magić, Mirjana, et al.. (1995). Estrogen and Progesterone Receptor Content in Bilateral Breast Cancer. Pathology - Research and Practice. 191(1). 16–24. 5 indexed citations
20.
Branković-Magić, Mirjana, Dragica Nikolić‐Vukosavljević, Zora Nešković‐Konstantinović, Ksenija Kanjer, & I Spuz̈ić. (1992). Variations in the Content of Steroid Receptors in Breast Cancer: Comparison between primary tumors and metastatic lesions. Acta Oncologica. 31(6). 629–633. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026