Hans‐Peter Sinn

20.1k total citations · 1 hit paper
260 papers, 8.3k citations indexed

About

Hans‐Peter Sinn is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Hans‐Peter Sinn has authored 260 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Cancer Research, 110 papers in Oncology and 61 papers in Molecular Biology. Recurrent topics in Hans‐Peter Sinn's work include Breast Cancer Treatment Studies (85 papers), Breast Lesions and Carcinomas (43 papers) and HER2/EGFR in Cancer Research (37 papers). Hans‐Peter Sinn is often cited by papers focused on Breast Cancer Treatment Studies (85 papers), Breast Lesions and Carcinomas (43 papers) and HER2/EGFR in Cancer Research (37 papers). Hans‐Peter Sinn collaborates with scholars based in Germany, United States and Switzerland. Hans‐Peter Sinn's co-authors include Andreas Schneeweiß, Hans Kreipe, Sebastian Aulmann, H. Junkermann, Frederik Marmé, Gϋnter von Minckwitz, Christof Sohn, Peter Herrlich, Helmut Ponta and M. Kaufmann and has published in prestigious journals such as The Lancet, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Hans‐Peter Sinn

240 papers receiving 8.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

Identification of a population of blood circulating tumor cells from breast cancer patients that initiates metastasis in a xenograft assay

2013 836 citations Andreas Schneeweiß, Albrecht Stenzinger et al. profile →

Author Peers

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

Author						Papers	Cites
Hans‐Peter Sinn	3.4k	3.3k	2.9k	1.3k	1.3k	260	8.3k
Vincent T.H.B.M. Smit	3.8k 1.1×	2.7k 0.8×	2.7k 1.0×	1.8k 1.4×	792 0.6×	200	12.0k
David G. Hicks	6.2k 1.8×	3.9k 1.2×	4.4k 1.5×	1.3k 1.0×	2.6k 2.0×	185	12.3k
Patricia de Crémoux	3.1k 0.9×	2.2k 0.7×	1.8k 0.6×	647 0.5×	704 0.5×	154	6.0k
F. Jänicke	5.5k 1.6×	6.2k 1.9×	3.1k 1.1×	715 0.5×	1.8k 1.3×	183	11.3k
Johannes L. Peterse	4.9k 1.4×	4.8k 1.5×	2.9k 1.0×	3.1k 2.3×	1.3k 1.0×	97	9.9k
Andrew M. Hanby	2.6k 0.8×	2.2k 0.7×	3.3k 1.1×	1.5k 1.2×	649 0.5×	128	7.5k
Paul J. Zhang	3.5k 1.0×	1.7k 0.5×	2.1k 0.7×	1.2k 0.9×	943 0.7×	215	8.5k
Burkhard Brandt	3.5k 1.0×	3.3k 1.0×	4.2k 1.5×	559 0.4×	583 0.4×	165	8.6k
Steven J. Isakoff	5.0k 1.5×	2.8k 0.9×	3.9k 1.4×	546 0.4×	756 0.6×	176	9.3k
David E. Wazer	2.6k 0.7×	3.8k 1.2×	2.2k 0.8×	2.1k 1.6×	1.3k 1.0×	266	8.6k

Countries citing papers authored by Hans‐Peter Sinn

Since Specialization

Citations

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

Fields of papers citing papers by Hans‐Peter Sinn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans‐Peter Sinn

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Peter Sinn. A scholar is included among the top collaborators of Hans‐Peter Sinn 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 Hans‐Peter Sinn. Hans‐Peter Sinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Böhm, H., et al.. (2024). Systematic profiling of primary invasive lobular breast carcinoma defines distinct candidates for PD-1/PD-L1 targeting immunotherapy. European Journal of Cancer. 200. 113833–113833.

Fremd, Carlo, et al.. (2023). Non-Response of Epstein–Barr Virus-Associated Breast Cancer after Primary Chemotherapy: Report of Two Cases. Pathogens. 12(12). 1387–1387.

Varga, Zsuzsanna, Hans‐Peter Sinn, & Annette Lebeau. (2023). B3-Läsionen der Mamma: Histologische, klinische und epidemiologische Aspekte. PubMed. 44(1). 5–16. 3 indexed citations

Huebner, Hanna, Matthias Rübner, Andreas Schneeweiß, et al.. (2023). RNA expression levels from peripheral immune cells, a minimally invasive liquid biopsy source to predict response to therapy, survival and immune-related adverse events in patients with triple negative breast cancer enrolled in the GeparNuevo trial.. Journal of Clinical Oncology. 41(16_suppl). 1011–1011. 1 indexed citations

Fischer, Christine, Hans‐Peter Sinn, Nicola Dikow, et al.. (2021). Breast cancer characteristics and surgery among women with Li‐Fraumeni syndrome in Germany—A retrospective cohort study. Cancer Medicine. 10(21). 7747–7758. 11 indexed citations

Bolkestein, Michiel, John Wong, Verena Thewes, et al.. (2020). Chromothripsis in Human Breast Cancer. Cancer Research. 80(22). 4918–4931. 17 indexed citations

Kommoss, F., F. Kommoss, Kenneth Tou En Chang, et al.. (2020). Endometrial stromal sarcomas with BCOR‐rearrangement harbor MDM2 amplifications. The Journal of Pathology Clinical Research. 6(3). 178–184. 36 indexed citations

Lebeau, Annette, Carsten Denkert, Hans‐Peter Sinn, Marcus Schmidt, & Achim Wöckel. (2019). Update der S3-Leitlinie Mammakarzinom: Was gibt es Neues für Pathologen?. Der Pathologe. 40(2). 185–198. 1 indexed citations

Kriegsmann, Mark, Disorn Sookthai, Renée T. Fortner, et al.. (2018). Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study. BMC Cancer. 18(1). 616–616. 53 indexed citations

10.

Adler, D., Mark Kriegsmann, Hans‐Peter Sinn, et al.. (2018). Spinale Mammakarzinommetastasen aus Sicht der Wirbelsäulenchirurgie: Prädiktoren auf Molekularebene zur Wahl der adäquaten Therapiestrategie. Der Orthopäde. 47(7). 594–603.

11.

Thewes, Verena, Ronald Simon, Magdalena Schlotter, et al.. (2015). Reprogramming of the ERRα and ERα Target Gene Landscape Triggers Tamoxifen Resistance in Breast Cancer. Cancer Research. 75(4). 720–731. 35 indexed citations

12.

Schouten, Philip C., Frederik Marmé, Sebastian Aulmann, et al.. (2014). Breast Cancers with a BRCA1 -like DNA Copy Number Profile Recur Less Often Than Expected after High-Dose Alkylating Chemotherapy. Clinical Cancer Research. 21(4). 763–770. 30 indexed citations

13.

Römer, Thomas, T. Rabe, Jürgen Bitzer, et al.. (2014). Management von Endometriumhyperplasien. Gemeinsame Stellungnahme der DGGEF und des BVF e. V.. Journal für Kardiologie (Krause & Pachernegg GmbH). 11(4). 170–185. 2 indexed citations

14.

Rabe, T., Johannes Bitzer, Philippe Bouchard, et al.. (2013). Ulipristal Acetate for Symptomatic Uterine Fibroids and Myoma-Related Hypermenorrhea Joint Statement by the German Society for Gynecological Endocrinology and Reproductive Medicine (DGGEF) and the German Professional Association of Gynecologists (BVF). Journal für Kardiologie (Krause & Pachernegg GmbH). 10(1). 82–101.

15.

Rabe, T., Johannes Bitzer, Christian Egarter, et al.. (2012). Ulipristalacetat bei symptomatischem Uterus myomatosus und bei myombedingter Hypermenorrhoe. Gemeinsame Stellungnahme der DGGEF und des BVF. Journal für Kardiologie (Krause & Pachernegg GmbH). 9(2). 106–126. 1 indexed citations

16.

Domschke, Christoph, Florian Schuetz, Yingzi Ge, et al.. (2009). Intratumoral Cytokines and Tumor Cell Biology Determine Spontaneous Breast Cancer–Specific Immune Responses and Their Correlation to Prognosis. Cancer Research. 69(21). 8420–8428. 47 indexed citations

17.

Heck, Stefanie, Joachim Rom, Verena Thewes, et al.. (2009). Estrogen-Related Receptor α Expression and Function Is Associated with the Transcriptional Coregulator AIB1 in Breast Carcinoma. Cancer Research. 69(12). 5186–5193. 29 indexed citations

18.

Neßling, Michelle, Karsten Richter, Carsten Schwäenen, et al.. (2005). Candidate Genes in Breast Cancer Revealed by Microarray-Based Comparative Genomic Hybridization of Archived Tissue. Cancer Research. 65(2). 439–447. 101 indexed citations

19.

Knopp, M.V., Gunnar Brix, H. Junkermann, & Hans‐Peter Sinn. (1994). MR MAMMOGRAPHY WITH PHARMACOKINETIC MAPPING FOR MONITORING OF BREAST CANCER TREATMENT DURING NEOADJUVANT THERAPY. Magnetic Resonance Imaging Clinics of North America. 2(4). 633–658. 101 indexed citations

20.

Sinn, Hans‐Peter, et al.. (1977). [May Perthes' disease be due to venous block? Experimental investigations on growing pigs].. PubMed. 115(3). 299–304. 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.

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