Gyula Pekár

1.2k total citations · 1 hit paper
19 papers, 828 citations indexed

About

Gyula Pekár is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Gyula Pekár has authored 19 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 8 papers in Oncology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Gyula Pekár's work include Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (7 papers) and Cancer Genomics and Diagnostics (6 papers). Gyula Pekár is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (7 papers) and Cancer Genomics and Diagnostics (6 papers). Gyula Pekár collaborates with scholars based in Sweden, Taiwan and Switzerland. Gyula Pekár's co-authors include Tibor Tot, Göran Karlsson, John Lövrot, Åsa K. Björklund, Christer Larsson, Jonas Bergh, Kristian Pietras, Mikael N.E. Sommarin, David Lindgren and Chris D. Madsen and has published in prestigious journals such as Nature Communications, Cancer and American Journal of Obstetrics and Gynecology.

In The Last Decade

Gyula Pekár

17 papers receiving 820 citations

Hit Papers

Spatially and functionally distinct subclasses of breast ... 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing
    2018 561 citations Michael Bartoschek, Nikolay Oskolkov et al. Nature Communications profile →

Peers

Gyula Pekár
Mutsuko Ibusuki Japan
Els Van Nieuwenhuysen Belgium
Andrea Terrasi Italy
Therese Törngren Sweden
María Villalba Spain
Aurore Rampanou France
Meredith Pelster United States
Satyen H. Gohil United Kingdom
Hoiseon Jeong South Korea
Bernhard Polzer Germany
Mutsuko Ibusuki Japan
Gyula Pekár
Citations per year, relative to Gyula Pekár Gyula Pekár (= 1×) peers Mutsuko Ibusuki

Countries citing papers authored by Gyula Pekár

Since Specialization
Citations

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

Fields of papers citing papers by Gyula Pekár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyula Pekár

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

All Works

19 of 19 papers shown
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Marchi, Tommaso De, Paul Theodor Pyl, Martin Sjöström, et al.. (2023). Proteogenomics decodes the evolution of human ipsilateral breast cancer. Communications Biology. 6(1). 139–139.
4.
Marchi, Tommaso De, Paul Theodor Pyl, Martin Sjöström, et al.. (2021). Proteogenomic Workflow Reveals Molecular Phenotypes Related to Breast Cancer Mammographic Appearance. Journal of Proteome Research. 20(5). 2983–3001. 14 indexed citations
5.
Bartoschek, Michael, Nikolay Oskolkov, Matteo Bocci, et al.. (2018). Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing. Nature Communications. 9(1). 5150–5150. 561 indexed citations breakdown →
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Pekár, Gyula, Hanna Davies, Lars A. Forsberg, et al.. (2015). Biobanking multifocal breast carcinomas: sample adequacy with regard to histology andDNAcontent. Histopathology. 68(3). 411–421. 2 indexed citations
8.
Pekár, Gyula, Mária Gere, Miklós Tarján, Dan Hellberg, & Tibor Tot. (2013). Molecular phenotype of the foci in multifocal invasive breast carcinomas: Intertumoral heterogeneity is related to shorter survival and may influence the choice of therapy. Cancer. 120(1). 26–34. 31 indexed citations
9.
Pekár, Gyula, L. Tabár, Miklós Tarján, et al.. (2012). Multifocal breast cancer documented in large‐format histology sections. Cancer. 119(6). 1132–1139. 32 indexed citations
10.
Pekár, Gyula, et al.. (2012). Comparison of the Subgross Distribution of the Lesions in Invasive Ductal and Lobular Carcinomas of the Breast: A Large-Format Histology Study. International Journal of Breast Cancer. 2012. 1–7. 8 indexed citations
11.
Tot, Tibor, Mária Gere, Gyula Pekár, et al.. (2011). Breast cancer multifocality, disease extent, and survival. Human Pathology. 42(11). 1761–1769. 74 indexed citations
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Asplund, Anna, et al.. (2011). High-Risk HPV Infection and CIN Grade Correlates to the Expression of c-myc, CD4+, FHIT, E-cadherin, Ki-67, and p16INK4a. Journal of Lower Genital Tract Disease. 15(4). 280–286. 24 indexed citations
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Tot, Tibor & Gyula Pekár. (2010). Multifocality in “Basal-Like” Breast Carcinomas and its Influence on Lymph Node Status. Annals of Surgical Oncology. 18(6). 1671–1677. 18 indexed citations
15.
Asplund, Anna, et al.. (2010). Tissue tumor marker expression in smokers, including serum cotinine concentrations, in women with cervical intraepithelial neoplasia or normal squamous cervical epithelium. American Journal of Obstetrics and Gynecology. 202(6). 579.e1–579.e7. 7 indexed citations
16.
Tot, Tibor, et al.. (2010). Increased serum progesterone and estradiol correlate to increased COX-2 tissue expression in cervical intraepithelial neoplasia.. PubMed. 30(4). 1217–22. 4 indexed citations
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Tot, Tibor, Gyula Pekár, Mária Gere, et al.. (2010). Molecular Phenotypes of Unifocal, Multifocal, and Diffuse Invasive Breast Carcinomas. Pathology Research International. 2011. 1–5. 10 indexed citations
18.
Tot, Tibor, et al.. (2009). The distribution of lesions in 1–14-mm invasive breast carcinomas and its relation to metastatic potential. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 455(2). 109–115. 22 indexed citations
19.
Németh, Norbert, Endre Bráth, Katalin Pető, et al.. (2005). [Kidney neovascularization by the greater omentum after pretreatment with omental angiogenic factor].. PubMed. 58(2). 129–33. 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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