Stefan Haug

561 citations
11 papers · 160 · h-index 6

Impact in

  • Neurology top 10%
    • CNS Lymphoma Diagnosis and Treatment
    • Glioma Diagnosis and Treatment

Papers in

Stefan Haug

9 papers receiving 157 citations

Peers

Stefan Haug
Comparison fields: 5 of 38
  • Neurology 99
  • Genetics 59
  • Pathology and Forensic Medicine 75
  • Nephrology 7
  • Cancer Research 13
Replace María Julia Montoro with:
María Julia Montoro Spain
Rita Frangiamore Italy
Idoya Zazpe Spain
H. J. Dickinson United Kingdom
Clotilde Bravetti France
Kevin Ginn United States
Rasha Aljelaify Saudi Arabia
Illja J. Diets Netherlands
Sebastian Michels Germany
Zsolt Nagy Hungary
Stefan Haug relative to María Julia Montoro Spain María Julia Montoro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stefan Haug

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201198
2 202015
3 202112
4 201412
5 202310
6 20126
7 20243
8
Optimierung von Axialkolbenmaschinen durch bedarfsangepasste Entlastung tribologischer Kontakte
20162
9
Optimization of Axial Piston Units Based on Demand-driven Relief of Tribological Contacts
20162
10 20260
11 20250

About Stefan Haug

Stefan Haug is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Neurology, Mechanical Engineering and Automotive Engineering, having authored 11 papers that have together received 160 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Tribology and Lubrication Engineering (2 papers), Renal and related cancers (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Cancer Mechanisms and Therapy (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Advanced Theoretical and Applied Studies in Material Sciences and Geometry (1 paper). The work is most often cited by research in Neurology (99 citations), Genetics (59 citations), Pathology and Forensic Medicine (75 citations), Nephrology (7 citations) and Cancer Research (13 citations). Stefan Haug has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gerald Illerhaus, Gabriele Ihorst, Jürgen Finke, Claudia Hader, Marco Prinz, Kristina Fritsch, Benjamin Kasenda, Guido Nikkhah, Anna Köttgen and Yong Li. Their work appears in journals such as Kidney International, Cancers, Journal of the American Society of Nephrology, Annals of Oncology and Blood.

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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