Stefan Haug

547 total citations
10 papers, 156 citations indexed

About

Stefan Haug is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Stefan Haug has authored 10 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Stefan Haug's work include Renal cell carcinoma treatment (3 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Stefan Haug is often cited by papers focused on Renal cell carcinoma treatment (3 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Stefan Haug collaborates with scholars based in Germany, United States and Switzerland. Stefan Haug's co-authors include Guido Nikkhah, Jürgen Finke, Claudia Hader, Gabriele Ihorst, Marco Prinz, Benjamin Kasenda, Gerald Illerhaus, Kristina Fritsch, Yong Li and Anna Köttgen and has published in prestigious journals such as Blood, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Stefan Haug

9 papers receiving 153 citations

Peers

Stefan Haug

NEURO

PFM

GENET

MB

CR

Melitta Kitzwoegerer Austria

Kevin Ginn United States

Lianna J. Marks United States

María Julia Montoro Spain

Rasha Aljelaify Saudi Arabia

Idoya Zazpe Spain

Mohamed Ahmed United States

Dong‐Anh Khuong‐Quang Australia

H. J. Dickinson United Kingdom

Illja J. Diets Netherlands

Melitta Kitzwoegerer Austria

Stefan Haug

40 ×0.4

NEURO

14 ×0.1

PFM

30 ×0.4

GENET

38 ×1.1

MB

12 ×0.9

CR

Citations per year, relative to Stefan Haug Stefan Haug (= 1×) peers Melitta Kitzwoegerer

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-authorship network of co-authors of Stefan Haug

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

All Works

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10 of 10 papers shown

1.

Li, Yong, Oleg Borisov, Atlas Khan, et al.. (2025). Genetic screens of imaging-derived kidney volumes identify genes linked to kidney function. Kidney International. 109(2). 365–378.

2.

Haas, Ludwig, Mojca Adlesic, Francesca Cuomo, et al.. (2024). Mutations in tumor suppressor genes Vhl and Rassf1a cause DNA damage, chromosomal instability and induce gene expression changes characteristic of clear cell renal cell carcinoma. Kidney International. 107(4). 666–686. 2 indexed citations

3.

Haug, Stefan, et al.. (2023). Multi-omic analysis of human kidney tissue identified medulla-specific gene expression patterns. Kidney International. 105(2). 293–311. 10 indexed citations

4.

Hoefflin, Rouven, Sabine Harlander, Behnaz Ahangarian Abhari, et al.. (2021). Therapeutic Effects of Inhibition of Sphingosine-1-Phosphate Signaling in HIF-2α Inhibitor-Resistant Clear Cell Renal Cell Carcinoma. Cancers. 13(19). 4801–4801. 9 indexed citations

5.

Li, Yong, Stefan Haug, Pascal Schlosser, et al.. (2020). Integration of GWAS Summary Statistics and Gene Expression Reveals Target Cell Types Underlying Kidney Function Traits. Journal of the American Society of Nephrology. 31(10). 2326–2340. 15 indexed citations

6.

Haug, Stefan, et al.. (2016). Optimierung von Axialkolbenmaschinen durch bedarfsangepasste Entlastung tribologischer Kontakte. 77. 2 indexed citations

7.

Haug, Stefan & Marcus Geimer. (2016). Optimization of Axial Piston Units Based on Demand-driven Relief of Tribological Contacts. Qucosa (Saxon State and University Library Dresden). 2 indexed citations

8.

Haug, Stefan, Dominik Schnerch, Sebastian Halbach, et al.. (2014). Metadherin exon 11 skipping variant enhances metastatic spread of ovarian cancer. International Journal of Cancer. 136(10). 2328–2340. 12 indexed citations

9.

Kasenda, Benjamin, Andrés J.M. Ferreri, Hervé Ghesquières, et al.. (2012). First-Line Treatment and Outcome of Elderly Patients with Primary Central Nervous System Lymphoma (PCNSL) – A Systematic Review and Individual Patient Data Meta-Analysis. Blood. 120(21). 3655–3655. 6 indexed citations

10.

Fritsch, Kristina, Benjamin Kasenda, Claudia Hader, et al.. (2011). Immunochemotherapy with rituximab, methotrexate, procarbazine, and lomustine for primary CNS lymphoma (PCNSL) in the elderly. Annals of Oncology. 22(9). 2080–2085. 98 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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