Borbála Székely

1.3k citations
31 papers · 717 indexed · h-index 12
Topics
Breast Cancer Treatment Studies (11 papers)Cancer Genomics and Diagnostics (9 papers)Cancer Immunotherapy and Biomarkers (6 papers)

In The Last Decade

Borbála Székely

31 papers receiving 708 citations

Peers

Borbála Székely
Comparison fields: 5 of 57
  • Oncology 528
  • Cancer Research 249
  • Molecular Biology 187
  • Immunology 174
  • Pulmonary and Respiratory Medicine 170
Replace L. Pusztai with:
L. Pusztai United States
Zenobia D’Costa United Kingdom
Ruslan D. Novosiadly United States
Charla A. Parker United States
Junko Matsuoka Japan
Ulrike Weyer-Czernilofsky Austria
Junjie Hang China
Antonios Papanicolau‐Sengos United States
Zaoke He China
Paris Vail United States
Borbála Székely relative to L. Pusztai United States L. Pusztai's profile →
Citations per field
00.5×3.9×
L. Pusztai · 1×
Citations per year

Countries citing papers authored by Borbála Székely

Since Specialization
Citations

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

Fields of papers citing papers by Borbála Székely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Borbála Székely

This figure shows the co-authorship network connecting the top 25 collaborators of Borbála Székely. A scholar is included among the top collaborators of Borbála Székely 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 Borbála Székely. Borbála Székely 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
#WorkIndexed citations
1 1
2 240
3 53
4
New Therapeutic Strategies for Triple-Negative Breast Cancer.
53
5 62
6 38
7 15
8 10
9 46
10
Prognostic impact of progesterone receptor expression in HER2-negative Luminal B breast cancer
1
11 13
12 25
13 6
14 35
15 4
16
[Morphological and immunophenotypical heterogeneity in breast cancers of young and elderly women].
3
17 2
18 1
19 3
20 3

About Borbála Székely

Borbála Székely is a scholar working on Cancer Research, Oncology and Genetics, having authored 31 papers that have together received 717 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Cancer Genomics and Diagnostics (9 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Oncology (528 citations), Cancer Research (249 citations) and Immunology (174 citations). Borbála Székely has collaborated with scholars based in Hungary, United States and Denmark. Frequent co-authors include Lajos Pusztai, Andrea Silber, Janina Kulka, Vasiliki Pelekanou, Christos Hatzis, David L. Rimm, Malini Harigopal, Ming Zhang, Veerle Bossuyt and Qin Yan. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

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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