Stephan Hasmüller

1.4k citations
11 papers · 837 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer survivorship and care

Papers in

Stephan Hasmüller

11 papers receiving 818 citations

Peers

Stephan Hasmüller
Comparison fields: 5 of 67
  • Cancer Research 374
  • Oncology 582
  • Radiology, Nuclear Medicine and Imaging 223
  • Genetics 87
  • Pulmonary and Respiratory Medicine 214
Replace Hanna Bandos with:
Hanna Bandos United States
Djelila Allouache France
Amal Arahmani Belgium
H Bishop United Kingdom
Matteo Clavarezza Italy
Shivan Sivakumar United Kingdom
Michael Method United States
Yavuz Özışık Türkiye
Laura Adamoli Italy
Barbara Radecka Poland
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Citations per field
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Citations per year

Countries citing papers authored by Stephan Hasmüller

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Hasmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephan Hasmüller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephan Hasmüller Line = papers co-authored together Stephan Hasmüller links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011370
2 2006139
3 2013127
4 201570
5 201769
6 201651
7 20054
8 20143
9 20092
10 20151
11 20081

About Stephan Hasmüller

Stephan Hasmüller is a scholar working on Oncology, Molecular Biology, Cancer Research, Genetics and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 837 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (3 papers), Family Support in Illness (2 papers), Cancer-related cognitive impairment studies (2 papers), Cancer survivorship and care (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glioma Diagnosis and Treatment (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Cancer Research (374 citations), Oncology (582 citations), Radiology, Nuclear Medicine and Imaging (223 citations), Genetics (87 citations) and Pulmonary and Respiratory Medicine (214 citations). Stephan Hasmüller has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Michael Untch, Nadia Harbeck, Gϋnter von Minckwitz, Annette Lebeau, Elmar Stickeler, Oumar Camara, W. Fett, Gottfried E. Konecny, S. Kahlert and Thorsten Kühn. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Clinical Cancer Research, Psycho-Oncology and European Journal of Cancer.

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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