Peter Dubsky

14.6k total citations · 1 hit paper
153 papers, 6.0k citations indexed

About

Peter Dubsky is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peter Dubsky has authored 153 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Oncology, 76 papers in Cancer Research and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peter Dubsky's work include Breast Cancer Treatment Studies (71 papers), HER2/EGFR in Cancer Research (32 papers) and Advanced Breast Cancer Therapies (29 papers). Peter Dubsky is often cited by papers focused on Breast Cancer Treatment Studies (71 papers), HER2/EGFR in Cancer Research (32 papers) and Advanced Breast Cancer Therapies (29 papers). Peter Dubsky collaborates with scholars based in Austria, United States and Switzerland. Peter Dubsky's co-authors include Michael Gnant, R. Jakesz, Margaretha Rudas, Florian Fitzal, Richard Greil, Carsten Denkert, Zsuzsanna Bagó-Horváth, Rupert Bartsch, Ralf Kronenwett and Guenther G. Steger and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

Peter Dubsky

150 papers receiving 5.9k citations

Hit Papers

Estimating the benefits o... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Dubsky 3.3k 2.7k 1.2k 1.2k 1.0k 153 6.0k
Serban Dan Costa 4.8k 1.5× 4.2k 1.6× 978 0.8× 1.3k 1.1× 1.3k 1.2× 103 7.6k
Aron Goldhirsch 3.4k 1.0× 2.7k 1.0× 990 0.8× 595 0.5× 806 0.8× 119 5.4k
Christoph Thomssen 4.9k 1.5× 4.5k 1.7× 1.2k 1.0× 810 0.7× 2.2k 2.2× 281 8.4k
Bernd Gerber 3.9k 1.2× 4.4k 1.6× 846 0.7× 990 0.8× 975 1.0× 140 7.3k
Robert Mennel 4.2k 1.3× 3.3k 1.2× 1.2k 1.0× 692 0.6× 1.6k 1.5× 47 6.7k
M. Elizabeth H. Hammond 2.8k 0.9× 1.8k 0.7× 1.4k 1.2× 785 0.7× 951 0.9× 65 5.3k
M. Castiglione 2.8k 0.8× 2.5k 0.9× 835 0.7× 640 0.5× 715 0.7× 48 5.0k
Frances P. O’Malley 3.1k 0.9× 2.7k 1.0× 671 0.6× 967 0.8× 2.1k 2.1× 94 6.5k
Brigitte Sigal‐Zafrani 2.3k 0.7× 2.2k 0.8× 541 0.4× 680 0.6× 1.0k 1.0× 110 4.5k
Valentina Guarneri 6.7k 2.1× 3.0k 1.1× 2.3k 1.9× 1.4k 1.2× 1.4k 1.4× 322 9.0k

Countries citing papers authored by Peter Dubsky

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dubsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Dubsky

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Dubsky. A scholar is included among the top collaborators of Peter Dubsky 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 Peter Dubsky. Peter Dubsky 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.
Dubsky, Peter, Christian Jackisch, Seock‐Ah Im, et al.. (2024). BRCA genetic testing and counseling in breast cancer: how do we meet our patients’ needs?. npj Breast Cancer. 10(1). 77–77. 11 indexed citations
2.
Pfob, André & Peter Dubsky. (2023). The underused potential of breast conserving therapy after neoadjuvant system treatment – Causes and solutions. The Breast. 67. 110–115. 12 indexed citations
3.
Pusztai, Lajos, Peter Dubsky, Thomas Bachelot, et al.. (2023). De Novo Oligometastatic Breast Cancer. Journal of Clinical Oncology. 41(34). 5237–5241. 3 indexed citations
4.
Filipits, Martin, Margaretha Rudas, Christian F. Singer, et al.. (2021). The OncoMasTR Test Predicts Distant Recurrence in Estrogen Receptor–Positive, HER2-Negative Early-Stage Breast Cancer: A Validation Study in ABCSG Trial 8. Clinical Cancer Research. 27(21). 5931–5938. 1 indexed citations
5.
Pfob, André, Chris Sidey‐Gibbons, Sheng-Chieh Lu, et al.. (2021). Contrast of Digital and Health Literacy Between IT and Health Care Specialists Highlights the Importance of Multidisciplinary Teams for Digital Health—A Pilot Study. JCO Clinical Cancer Informatics. 5(5). 734–745. 18 indexed citations
6.
Fitzal, Florian, Martin Filipits, Christian Fesl, et al.. (2021). PAM-50 predicts local recurrence after breast cancer surgery in postmenopausal patients with ER+/HER2– disease: results from 1204 patients in the randomized ABCSG-8 trial. British journal of surgery. 108(3). 308–314. 18 indexed citations
7.
Rössler, Fabian, Martina Mittlböck, Nicolas Kozakowski, et al.. (2020). Factors influencing agreement of breast cancer luminal molecular subtype by Ki67 labeling index between core needle biopsy and surgical resection specimens. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 477(4). 545–555. 6 indexed citations
9.
Šestak, Ivana, Miguel Martín, Peter Dubsky, et al.. (2019). Prediction of chemotherapy benefit by EndoPredict in patients with breast cancer who received adjuvant endocrine therapy plus chemotherapy or endocrine therapy alone. Breast Cancer Research and Treatment. 176(2). 377–386. 57 indexed citations
10.
Filipits, Martin, Peter Dubsky, Margaretha Rudas, et al.. (2019). Prediction of Distant Recurrence Using EndoPredict Among Women with ER+, HER2− Node-Positive and Node-Negative Breast Cancer Treated with Endocrine Therapy Only. Clinical Cancer Research. 25(13). 3865–3872. 54 indexed citations
11.
Burstein, Harold J., Giuseppe Curigliano, Sibylle Loibl, et al.. (2019). Estimating the benefits of therapy for early-stage breast cancer: the St. Gallen International Consensus Guidelines for the primary therapy of early breast cancer 2019. Annals of Oncology. 30(10). 1541–1557. 438 indexed citations breakdown →
12.
Šestak, Ivana, Richard Buus, Jack Cuzick, et al.. (2018). Comparison of the Performance of 6 Prognostic Signatures for Estrogen Receptor–Positive Breast Cancer. JAMA Oncology. 4(4). 545–545. 204 indexed citations
13.
Bergen, Elisabeth, Anna S. Berghoff, Peter Dubsky, et al.. (2016). Prognostic impact of breast cancer subtypes in elderly patients. Breast Cancer Research and Treatment. 157(1). 91–99. 17 indexed citations
14.
Bartsch, Rupert, Anna S. Berghoff, Ursula Vogl, et al.. (2015). Activity of T-DM1 in Her2-positive breast cancer brain metastases. Clinical & Experimental Metastasis. 32(7). 729–737. 91 indexed citations
15.
Pinker, Katja, Wolfgang Bogner, Pascal Baltzer, et al.. (2014). Improved Differentiation of Benign and Malignant Breast Tumors with Multiparametric 18Fluorodeoxyglucose Positron Emission Tomography Magnetic Resonance Imaging: A Feasibility Study. Clinical Cancer Research. 20(13). 3540–3549. 71 indexed citations
16.
Panhofer, Peter, M. Schütz, Andreas Gleiß, et al.. (2014). Standardization of morbidity assessment in breast cancer surgery using the Clavien Dindo Classification. International Journal of Surgery. 12(4). 334–339. 55 indexed citations
17.
Blank, Patricia R., Martin Filipits, Peter Dubsky, et al.. (2014). Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients. PharmacoEconomics. 33(2). 179–190. 14 indexed citations
18.
André, Fabrice, Maria Vittoria Dieci, Peter Dubsky, et al.. (2012). Molecular Pathways: Involvement of Immune Pathways in the Therapeutic Response and Outcome in Breast Cancer. Clinical Cancer Research. 19(1). 28–33. 160 indexed citations
19.
Dubsky, Peter, Martin Filipits, R. Jakesz, et al.. (2012). EndoPredict improves the prognostic classification derived from common clinical guidelines in ER-positive, HER2-negative early breast cancer. Annals of Oncology. 24(3). 640–647. 129 indexed citations
20.
Bartsch, Rupert, Ursula Pluschnig, Peter Dubsky, et al.. (2009). Predicting for activity of second-line trastuzumab-based therapy in her2-positive advanced breast cancer. BMC Cancer. 9(1). 367–367. 22 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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