Stefan Hauser

147 papers receiving 2.9k citations

Peers

Stefan Hauser
Comparison fields: 5 of 137
  • Cancer Research 507
  • Pulmonary and Respiratory Medicine 1.1k
  • Radiology, Nuclear Medicine and Imaging 534
  • Oncology 562
  • Urology 123
Replace Laurent Daniel with:
Laurent Daniel France
Yoshihisa Nojima Japan
Gorô Asano Japan
Rory R. Koenen Netherlands
Zenya Naito Japan
Angelo Sidoni Italy
Amelia Casamassimi Italy
Hiroaki Shiina Japan
Zhiyong Guo China
Emily Chan United States
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Citations per field
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Laurent Daniel · 1×
Citations per year

Countries citing papers authored by Stefan Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Hauser, 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 Stefan Hauser Line = papers co-authored together Stefan Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017129
2 2016101
3 197698
4 201195
5 200692
6 201391
7 201286
8 201085
9 201084
10 201782
11 200875
12 201071
13 201765
14 201864
15 201163
16
Serum DNA hypermethylation in patients with kidney cancer: results of a prospective study.
201359
17
Cell-free circulating DNA: Diagnostic value in patients with renal cell cancer.
201055
18 201750
19 201149
20 201348

About Stefan Hauser

Stefan Hauser is a scholar working on Cancer Research, Developmental Neuroscience, Cellular and Molecular Neuroscience, Urology and Pulmonary and Respiratory Medicine, having authored 158 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (19 papers), Prostate Cancer Treatment and Research (14 papers), Bladder and Urothelial Cancer Treatments (13 papers), Renal and related cancers (12 papers), Cancer Genomics and Diagnostics (12 papers), Genetic Neurodegenerative Diseases (12 papers), Pluripotent Stem Cells Research (10 papers) and Hereditary Neurological Disorders (9 papers). The work is most often cited by research in Cancer Research (507 citations), Pulmonary and Respiratory Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (534 citations), Oncology (562 citations) and Urology (123 citations). Stefan Hauser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan C. Müller, Jörg Ellinger, G. Fechner, Patrick J. Bastian, Markus Essler, Hojjat Ahmadzadehfar, Alexander von Ruecker, Anna Yordanova, Lüdger Schöls and Stefan Kürpig. Their work appears in journals such as Stem Cell Research, Journal of Clinical Oncology, Scientific Reports, British Journal of Urology and Urology.

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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