Lilla Madaras

608 total citations
27 papers, 380 citations indexed

About

Lilla Madaras is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Lilla Madaras has authored 27 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 14 papers in Oncology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Lilla Madaras's work include Breast Cancer Treatment Studies (13 papers), Breast Lesions and Carcinomas (7 papers) and BRCA gene mutations in cancer (5 papers). Lilla Madaras is often cited by papers focused on Breast Cancer Treatment Studies (13 papers), Breast Lesions and Carcinomas (7 papers) and BRCA gene mutations in cancer (5 papers). Lilla Madaras collaborates with scholars based in Hungary, United States and Denmark. Lilla Madaras's co-authors include Janina Kulka, Attila Marcell Szász, Anna‐Mária Tõkés, Balázs Ács, Magdolna Dank, Giuseppe Floris, Eszter Székely, Zsuzsanna Németh, Zsuzsa Schaff and Kristóf Kovács and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Lilla Madaras

27 papers receiving 371 citations

Peers

Lilla Madaras
Carla Penner Canada
L. Pusztai United States
Neil Atkey United Kingdom
Marion Chapellier France
Marcell A. Szász Hungary
Kyriakos Amarantidis Greece
Lorenzo Nicolè Italy
Ruohong Shui China
C. Cruz United States
Wei-Dong Wei China
Carla Penner Canada
Lilla Madaras
Citations per year, relative to Lilla Madaras Lilla Madaras (= 1×) peers Carla Penner

Countries citing papers authored by Lilla Madaras

Since Specialization
Citations

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

Fields of papers citing papers by Lilla Madaras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilla Madaras

This figure shows the co-authorship network connecting the top 25 collaborators of Lilla Madaras. A scholar is included among the top collaborators of Lilla Madaras 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 Lilla Madaras. Lilla Madaras 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.
Madaras, Lilla, et al.. (2025). Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response prediction. npj Precision Oncology. 9(1). 27–27. 2 indexed citations
2.
Kovács, Kristóf, Csaba Kerepesi, Lilla Madaras, et al.. (2025). Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences. Scientific Reports. 15(1). 4868–4868. 1 indexed citations
3.
4.
Pipek, Orsolya, Donát Alpár, Orsolya Rusz, et al.. (2023). Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort. International Journal of Molecular Sciences. 24(10). 8553–8553. 2 indexed citations
5.
Herold, Zoltán, Tamás Garay, Magdolna Herold, et al.. (2023). High Tumor-Infiltrating Lymphocyte Count Is Associated with Distinct Gene Expression Profile and Longer Patient Survival in Advanced Ovarian Cancer. International Journal of Molecular Sciences. 24(18). 13684–13684. 3 indexed citations
6.
Madaras, Lilla, et al.. (2021). Papillary lesions of the breast. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 480(1). 65–84. 32 indexed citations
7.
Ács, Balázs, Veronika Zámbó, Laura Vízkeleti, et al.. (2017). Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy. Diagnostic Pathology. 12(1). 20–20. 63 indexed citations
8.
Ács, Balázs, Lilla Madaras, Kristóf Kovács, et al.. (2017). Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer. Pathology & Oncology Research. 24(1). 115–127. 16 indexed citations
9.
Ács, Balázs, Janina Kulka, Kristóf Kovács, et al.. (2017). Comparison of 5 Ki-67 antibodies regarding reproducibility and capacity to predict prognosis in breast cancer: does the antibody matter?. Human Pathology. 65. 31–40. 14 indexed citations
10.
Székely, Borbála, Gábor Lotz, Kristóf Kovács, et al.. (2016). Comparison of immunophenotypes of primary breast carcinomas and multiple corresponding distant metastases: an autopsy study of 25 patients. Clinical & Experimental Metastasis. 34(1). 103–113. 10 indexed citations
11.
Tőkés, Tímea, Gyöngyvér Szentmártoni, Gergő Kiszner, et al.. (2016). Expression of cell cycle markers is predictive of the response to primary systemic therapy of locally advanced breast cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 468(6). 675–686. 8 indexed citations
12.
Madaras, Lilla, Balázs Győrffy, Anna‐Mária Tõkés, et al.. (2015). BRCA Mutation-Related and Claudin-Low Breast Cancer: Blood Relatives or Stepsisters?. Pathobiology. 83(1). 1–12. 10 indexed citations
13.
Molnár, Béla, István Kenessey, Borbála Székely, et al.. (2015). Prognostic impact of progesterone receptor expression in HER2-negative Luminal B breast cancer. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1(1). 41–49. 1 indexed citations
14.
Madaras, Lilla, Kristóf Kovács, Attila Marcell Szász, et al.. (2013). Clinicopathological Features and Prognosis of Pregnancy Associated Breast Cancer – A Matched Case Control Study. Pathology & Oncology Research. 20(3). 581–590. 35 indexed citations
15.
Madaras, Lilla, Attila Marcell Szász, Anna‐Mária Tõkés, et al.. (2012). [Morphological and immunophenotypical heterogeneity in breast cancers of young and elderly women].. PubMed. 56(2). 75–8. 3 indexed citations
16.
Szász, Attila Marcell, Anna‐Mária Tõkés, Mariann Micsinai, et al.. (2010). Prognostic significance of claudin expression changes in breast cancer with regional lymph node metastasis. Clinical & Experimental Metastasis. 28(1). 55–63. 49 indexed citations
17.
Székely, Borbála, Lilla Madaras, Gyöngyvér Szentmártoni, et al.. (2010). A fiatal- és időskori emlőrák összehasonlítása klinikopatológiai jellemzők alapján. PubMed. 54(1). 19–26. 3 indexed citations
18.
Kulka, Janina, Attila Marcell Szász, Zsuzsanna Németh, et al.. (2008). Expression of Tight Junction Protein Claudin-4 in Basal-Like Breast Carcinomas. Pathology & Oncology Research. 15(1). 59–64. 53 indexed citations
19.
Székely, Eszter, et al.. (2001). Leiomyosarcoma of the female breast. Pathology & Oncology Research. 7(2). 151–153. 24 indexed citations
20.
Székely, Eszter, et al.. (2000). Trabecular angiomyolipoma mimicking hepatic cell carcinoma. Pathology & Oncology Research. 6(3). 224–226. 10 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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