Pär‐Ola Bendahl

9.9k total citations
181 papers, 6.7k citations indexed

About

Pär‐Ola Bendahl is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Pär‐Ola Bendahl has authored 181 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Oncology, 100 papers in Cancer Research and 37 papers in Pathology and Forensic Medicine. Recurrent topics in Pär‐Ola Bendahl's work include Breast Cancer Treatment Studies (61 papers), HER2/EGFR in Cancer Research (36 papers) and Cancer Genomics and Diagnostics (27 papers). Pär‐Ola Bendahl is often cited by papers focused on Breast Cancer Treatment Studies (61 papers), HER2/EGFR in Cancer Research (36 papers) and Cancer Genomics and Diagnostics (27 papers). Pär‐Ola Bendahl collaborates with scholars based in Sweden, Denmark and United States. Pär‐Ola Bendahl's co-authors include Mårten Fernö, Lisa Rydén, Åke Borg, Dorthe Grabau, Lao H. Saal, Sofia K. Gruvberger-Saal, Mef Nilbert, Cecilia Hegardt, Markus Ringnér and Kristina Lövgren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Pär‐Ola Bendahl

175 papers receiving 6.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pär‐Ola Bendahl Sweden 44 3.3k 3.0k 2.7k 1.4k 928 181 6.7k
Lisa Rydén Sweden 44 2.7k 0.8× 2.8k 1.0× 2.1k 0.8× 1.1k 0.8× 772 0.8× 187 5.7k
Dilip D. Giri United States 37 2.9k 0.9× 2.4k 0.8× 3.0k 1.1× 712 0.5× 728 0.8× 94 7.0k
Ludovic Lacroix France 47 2.7k 0.8× 2.0k 0.7× 2.7k 1.0× 2.3k 1.7× 515 0.6× 220 7.5k
Gamze Karaca United States 28 4.6k 1.4× 4.3k 1.5× 3.4k 1.3× 1.2k 0.9× 1.3k 1.4× 40 9.6k
Rinat Yerushalmi Israel 27 4.4k 1.3× 2.3k 0.8× 2.2k 0.8× 1.8k 1.3× 1.2k 1.3× 119 6.7k
Bjørn Naume Norway 45 3.4k 1.0× 3.1k 1.1× 2.5k 0.9× 1.1k 0.8× 615 0.7× 134 6.7k
Daniele Generali Italy 42 3.1k 0.9× 2.1k 0.7× 2.5k 0.9× 1.7k 1.3× 396 0.4× 232 6.2k
Henri Roché France 44 6.4k 2.0× 3.3k 1.1× 2.1k 0.8× 1.8k 1.3× 1.3k 1.4× 213 9.0k
Hirotaka Iwase Japan 47 3.0k 0.9× 2.2k 0.8× 2.9k 1.1× 840 0.6× 1.5k 1.6× 210 6.2k
Mark Basik Canada 41 2.8k 0.9× 2.9k 1.0× 3.5k 1.3× 1.0k 0.8× 428 0.5× 142 7.2k

Countries citing papers authored by Pär‐Ola Bendahl

Since Specialization
Citations

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

Fields of papers citing papers by Pär‐Ola Bendahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pär‐Ola Bendahl. 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 Pär‐Ola Bendahl. The network helps show where Pär‐Ola Bendahl may publish in the future.

Co-authorship network of co-authors of Pär‐Ola Bendahl

This figure shows the co-authorship network connecting the top 25 collaborators of Pär‐Ola Bendahl. A scholar is included among the top collaborators of Pär‐Ola Bendahl 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 Pär‐Ola Bendahl. Pär‐Ola Bendahl 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.
Möller, Ulrika, et al.. (2024). Model of Health-Related Quality of Life in Breast Cancer Patients Using Cross-Sectional Data: The Role of Resilience. Cancer Management and Research. Volume 16. 1545–1555.
4.
Bendahl, Pär‐Ola, Maria Ekholm, Mårten Fernö, et al.. (2020). Tumour-infiltrating lymphocytes as a prognostic and tamoxifen predictive marker in premenopausal breast cancer: data from a randomised trial with long-term follow-up. Breast Cancer Research. 22(1). 140–140. 28 indexed citations
5.
Larsson, Anna-Maria, Pär‐Ola Bendahl, Kristina Aaltonen, et al.. (2020). Serial evaluation of serum thymidine kinase activity is prognostic in women with newly diagnosed metastatic breast cancer. Scientific Reports. 10(1). 4484–4484. 15 indexed citations
6.
Bendahl, Pär‐Ola, Åke Borg, Anna Ehinger, et al.. (2019). Agreement between molecular subtyping and surrogate subtype classification: a contemporary population-based study of ER-positive/HER2-negative primary breast cancer. Breast Cancer Research and Treatment. 178(2). 459–467. 20 indexed citations
7.
Isaksson, Sofi, Anthony M. George, Mats Jönsson, et al.. (2019). Pre-operative plasma cell-free circulating tumor DNA and serum protein tumor markers as predictors of lung adenocarcinoma recurrence. Acta Oncologica. 58(8). 1079–1086. 19 indexed citations
8.
Larsson, Anna-Maria, Sara Jansson, Pär‐Ola Bendahl, et al.. (2018). Longitudinal enumeration and cluster evaluation of circulating tumor cells improve prognostication for patients with newly diagnosed metastatic breast cancer in a prospective observational trial. Breast Cancer Research. 20(1). 48–48. 91 indexed citations
9.
Ehinger, Anna, Per Malmström, Pär‐Ola Bendahl, et al.. (2016). Histological grade provides significant prognostic information in addition to breast cancer subtypes defined according to St Gallen 2013. Acta Oncologica. 56(1). 68–74. 51 indexed citations
10.
Bjarnadottir, Olöf, Siker Kimbung, Karin Jirström, et al.. (2015). Statin-induced anti-proliferative effects via cyclin D1 and p27 in a window-of-opportunity breast cancer trial. Journal of Translational Medicine. 13(1). 133–133. 68 indexed citations
11.
Bjarnadottir, Olöf, Siker Kimbung, Ida Johansson, et al.. (2015). Global Transcriptional Changes Following Statin Treatment in Breast Cancer. Clinical Cancer Research. 21(15). 3402–3411. 45 indexed citations
12.
Ehinger, Anna, Pär‐Ola Bendahl, C.W. Elston, et al.. (2014). The role of histological grade in discrimination between Luminal A-like and Luminal B-like subtypes in a series of premenopausal breast cancer patients. Lund University Publications (Lund University). 2 indexed citations
14.
Broselid, Stefan, Benxu Cheng, Martin Sjöström, et al.. (2013). G Protein–Coupled Estrogen Receptor Is Apoptotic and Correlates with Increased Distant Disease-Free Survival of Estrogen Receptor–Positive Breast Cancer Patients. Clinical Cancer Research. 19(7). 1681–1692. 35 indexed citations
16.
17.
Harbst, Katja, Johan Staaf, Martin Lauss, et al.. (2012). Molecular Profiling Reveals Low- and High-Grade Forms of Primary Melanoma. Clinical Cancer Research. 18(15). 4026–4036. 72 indexed citations
18.
Nilsson, Jeanette, Khalil Helou, Anikó Kovács, et al.. (2010). Nuclear Janus-Activated Kinase 2/Nuclear Factor 1-C2 Suppresses Tumorigenesis and Epithelial-to-Mesenchymal Transition by Repressing Forkhead Box F1. Cancer Research. 70(5). 2020–2029. 58 indexed citations
19.
Fernö, Mårten, et al.. (2008). [Quality assured HER2 analysis in breast cancer. Important therapeutic predictive and prognostic factor].. PubMed. 105(32-33). 2181–4. 2 indexed citations
20.
Gruvberger-Saal, Sofia K., Pär‐Ola Bendahl, Lao H. Saal, et al.. (2007). Estrogen Receptor β Expression Is Associated with Tamoxifen Response in ERα-Negative Breast Carcinoma. Clinical Cancer Research. 13(7). 1987–1994. 154 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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