Klaus Pantel

81.7k total citations · 25 hit papers
721 papers, 54.1k citations indexed

About

Klaus Pantel is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Klaus Pantel has authored 721 papers receiving a total of 54.1k indexed citations (citations by other indexed papers that have themselves been cited), including 483 papers in Oncology, 373 papers in Cancer Research and 222 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Klaus Pantel's work include Cancer Cells and Metastasis (371 papers), Cancer Genomics and Diagnostics (285 papers) and Prostate Cancer Treatment and Research (55 papers). Klaus Pantel is often cited by papers focused on Cancer Cells and Metastasis (371 papers), Cancer Genomics and Diagnostics (285 papers) and Prostate Cancer Treatment and Research (55 papers). Klaus Pantel collaborates with scholars based in Germany, United States and France. Klaus Pantel's co-authors include Catherine Alix‐Panabières, Heidi Schwarzenbach, Sabine Riethdorf, Ruud H. Brakenhoff, Volkmar Müller, Dave S.�B. Hoon, Harriet Wikman, Wolfgang Janni, Yibin Kang and Stephan Braun and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Klaus Pantel

695 papers receiving 53.3k citations

Hit Papers

Cell-free nucleic acids as biomarkers in cancer pa... 2000 2026 2008 2017 2011 2007 2014 2004 2014 500 1000 1.5k 2.0k

Peers

Klaus Pantel
Daniel A. Haber United States
Massimo Cristofanilli United States
Kornélia Polyák United States
David N. Louis United States
Isaiah J. Fidler United States
Daniel D. Von Hoff United States
Anirban Maitra United States
Max S. Wicha United States
José Baselga United States
Daniel A. Haber United States
Klaus Pantel
Citations per year, relative to Klaus Pantel Klaus Pantel (= 1×) peers Daniel A. Haber

Countries citing papers authored by Klaus Pantel

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Pantel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Pantel

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Pantel. A scholar is included among the top collaborators of Klaus Pantel 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 Klaus Pantel. Klaus Pantel 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
2.
Ehlken, Hanno, Rüdiger Schmitz, Sabine Riethdorf, et al.. (2021). Possible tumour cell reimplantation during curative endoscopic therapy of superficial Barrett’s carcinoma. Gut. 71(2). 277–286. 1 indexed citations
3.
Wroblewski, Mark, Isabel Ben‐Batalla, Ines Miranda Santos, et al.. (2018). Blockade of Myeloid-Derived Suppressor Cell Expansion with All- Trans Retinoic Acid Increases the Efficacy of Antiangiogenic Therapy. Cancer Research. 78(12). 3220–3232. 97 indexed citations
4.
Croset, Martine, Francesco Pantano, Casina W.S. Kan, et al.. (2018). miRNA-30 Family Members Inhibit Breast Cancer Invasion, Osteomimicry, and Bone Destruction by Directly Targeting Multiple Bone Metastasis–Associated Genes. Cancer Research. 78(18). 5259–5273. 150 indexed citations
5.
Alix‐Panabières, Catherine & Klaus Pantel. (2016). Clinical Applications of Circulating Tumor Cells and Circulating Tumor DNA as Liquid Biopsy. Cancer Discovery. 6(5). 479–491. 1020 indexed citations breakdown →
6.
Janni, Wolfgang, Brigitte Rack, Leon W.M.M. Terstappen, et al.. (2016). Pooled Analysis of the Prognostic Relevance of Circulating Tumor Cells in Primary Breast Cancer. Clinical Cancer Research. 22(10). 2583–2593. 265 indexed citations
7.
Gorges, Tobias M., Simon A. Joosse, Sabine Riethdorf, et al.. (2015). Enumeration and Molecular Characterization of Tumor Cells in Lung Cancer Patients Using a Novel In Vivo Device for Capturing Circulating Tumor Cells. Clinical Cancer Research. 22(9). 2197–2206. 129 indexed citations
8.
Bartkowiak, Kai, Marcel Kwiatkowski, Friedrich Buck, et al.. (2015). Disseminated Tumor Cells Persist in the Bone Marrow of Breast Cancer Patients through Sustained Activation of the Unfolded Protein Response. Cancer Research. 75(24). 5367–5377. 65 indexed citations
9.
Nastały, Paulina, Christian Ruf, Natalia Bednarz‐Knoll, et al.. (2014). Circulating Tumor Cells in Patients with Testicular Germ Cell Tumors. Clinical Cancer Research. 20(14). 3830–3841. 41 indexed citations
10.
Gröbe, Alexander, Marco Blessmann, Henning Hanken, et al.. (2013). Prognostic Relevance of Circulating Tumor Cells in Blood and Disseminated Tumor Cells in Bone Marrow of Patients with Squamous Cell Carcinoma of the Oral Cavity. Clinical Cancer Research. 20(2). 425–433. 111 indexed citations
11.
Heitzer, Ellen, Martina Auer, Christin Gasch, et al.. (2013). Complex Tumor Genomes Inferred from Single Circulating Tumor Cells by Array-CGH and Next-Generation Sequencing. Cancer Research. 73(10). 2965–2975. 403 indexed citations
12.
Madhavan, Dharanija, Manuela Zucknick, Markus Wallwiener, et al.. (2012). Circulating miRNAs as Surrogate Markers for Circulating Tumor Cells and Prognostic Markers in Metastatic Breast Cancer. Clinical Cancer Research. 18(21). 5972–5982. 214 indexed citations
13.
Joosse, Simon A., Juliane Hannemann, Andreas Bauche, et al.. (2012). Changes in Keratin Expression during Metastatic Progression of Breast Cancer: Impact on the Detection of Circulating Tumor Cells. Clinical Cancer Research. 18(4). 993–1003. 126 indexed citations
14.
Barthel, Steven R., Matthew Opperman, Kempland C. Walley, et al.. (2012). Definition of Molecular Determinants of Prostate Cancer Cell Bone Extravasation. Cancer Research. 73(2). 942–952. 60 indexed citations
15.
Schwarzenbach, Heidi, et al.. (2012). Loss of Heterozygosity at Tumor Suppressor Genes Detectable on Fractionated Circulating Cell-Free Tumor DNA as Indicator of Breast Cancer Progression. Clinical Cancer Research. 18(20). 5719–5730. 50 indexed citations
16.
Janni, Wolfgang, Florian D. Vogl, Gro Wiedswang, et al.. (2011). Persistence of Disseminated Tumor Cells in the Bone Marrow of Breast Cancer Patients Predicts Increased Risk for Relapse—A European Pooled Analysis. Clinical Cancer Research. 17(9). 2967–2976. 192 indexed citations
17.
Bednarz‐Knoll, Natalia, Elke Eltze, Axel Semjonow, et al.. (2010). BRCA1 Loss Preexisting in Small Subpopulations of Prostate Cancer Is Associated with Advanced Disease and Metastatic Spread to Lymph Nodes and Peripheral Blood. Clinical Cancer Research. 16(13). 3340–3348. 53 indexed citations
18.
Ruosaari, Salla, Paul P. Eijk, Jussuf T. Kaifi, et al.. (2009). Genomic Profiles Associated with Early Micrometastasis in Lung Cancer: Relevance of 4q Deletion. Clinical Cancer Research. 15(5). 1566–1574. 72 indexed citations
19.
Köllermann, Jens, Steffen Weikert, Martin Schostak, et al.. (2008). Prognostic Significance of Disseminated Tumor Cells in the Bone Marrow of Prostate Cancer Patients Treated With Neoadjuvant Hormone Treatment. Journal of Clinical Oncology. 26(30). 4928–4933. 62 indexed citations
20.
Loges, Sonja, Uta Reichelt, Michaël Bubenheim, et al.. (2007). Determination of Microvessel Density by Quantitative Real-time PCR in Esophageal Cancer: Correlation with Histologic Methods, Angiogenic Growth Factor Expression, and Lymph Node Metastasis. Clinical Cancer Research. 13(1). 76–80. 35 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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