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.
Phase II Randomized Study of Neoadjuvant Everolimus Plus Letrozole Compared With Placebo Plus Letrozole in Patients With Estrogen Receptor–Positive Breast Cancer
This map shows the geographic impact of E. Kubista'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 E. Kubista with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Kubista more than expected).
This network shows the impact of papers produced by E. Kubista. 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 E. Kubista. The network helps show where E. Kubista may publish in the future.
Co-authorship network of co-authors of E. Kubista
This figure shows the co-authorship network connecting the top 25 collaborators of E. Kubista.
A scholar is included among the top collaborators of E. Kubista 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 E. Kubista. E. Kubista is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gnant, Michael, Walter Schippinger, G. Luschin-Ebengreuth, et al.. (2009). アジュバント内分泌療法へのゾレドロン酸(ZOL)追加はホルモン応答性早期乳房腫瘍(HREBC)の閉経前女性の無病生存(DF)及び非再発生存(RFS)を改善する:オーストリア乳房腫瘍及び結腸直腸腫瘍研究グループ12(ABCSG-12)試験の多変量解析. Annals of Oncology. 20. 30.1 indexed citations
Langer, Swen, C Singer, Gernot Hudelist, et al.. (2006). Jun and Fos family protein expression in human breast cancer: correlation of protein expression and clinicopathological parameters.. PubMed. 27(4). 345–52.50 indexed citations
Kubista, E.. (2003). Behandlung klimakterischer Symptome nach Brustkrebs mit Liviel(R) - Die LIBERATE-Studie. Journal für Kardiologie (Krause & Pachernegg GmbH). 10(3). 16–19.1 indexed citations
Schindl, Monika, Sebastian F. Schoppmann, Hellmut Samonigg, et al.. (2002). Overexpression of hypoxia-inducible factor 1alpha is associated with an unfavorable prognosis in lymph node-positive breast cancer.. PubMed. 8(6). 1831–7.332 indexed citations
11.
Birner, P., Georg Oberhuber, Josefine Stani, et al.. (2001). Evaluation of the United States Food and Drug Administration-approved scoring and test system of HER-2 protein expression in breast cancer.. PubMed. 7(6). 1669–75.159 indexed citations
12.
Kubista, E.. (2001). [Breast cancer: figures and facts].. PubMed. 151(21-23). 548–51.14 indexed citations
Schön, H.J., et al.. (1993). Beta-endorphin, steroids, and prolactin. Immunoassay in breast cysts and blood.. PubMed. 117(3). 248–53.3 indexed citations
18.
Schneeberger, Christian, G. Sliutz, E. Kubista, et al.. (1990). Determination of HER-2/neu amplification and expression in tumor tissue and cultured cells using a simple, phenol free method for nucleic acid isolation.. PubMed. 5(9). 1403–8.40 indexed citations
Kubista, E., et al.. (1977). [Influence of social status on pregnancy, delivery and puerperium].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 127(11). 341–6.1 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.