Nik Hauser

3.3k total citations
36 papers, 1.9k citations indexed

About

Nik Hauser is a scholar working on Rheumatology, Immunology and Allergy and Radiation. According to data from OpenAlex, Nik Hauser has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rheumatology, 11 papers in Immunology and Allergy and 8 papers in Radiation. Recurrent topics in Nik Hauser's work include Osteoarthritis Treatment and Mechanisms (13 papers), Cell Adhesion Molecules Research (11 papers) and Advanced X-ray Imaging Techniques (8 papers). Nik Hauser is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (13 papers), Cell Adhesion Molecules Research (11 papers) and Advanced X-ray Imaging Techniques (8 papers). Nik Hauser collaborates with scholars based in Switzerland, Germany and United States. Nik Hauser's co-authors include Mats Paulsson, Paul E. DiCesare, R. Huch, Gad Singer, Marco Stampanoni, Zhentian Wang, Mafalda Trippel, Hans Jörg Häuselmann, Michel Neidhart and Beat A. Michel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Nik Hauser

35 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nik Hauser Switzerland 20 626 414 362 318 308 36 1.9k
Peter Petrow Germany 28 528 0.8× 1.1k 2.7× 132 0.4× 142 0.4× 552 1.8× 81 5.1k
Devron H. Char United States 47 491 0.8× 247 0.6× 87 0.2× 214 0.7× 1.1k 3.5× 231 6.3k
Alessia Pica Switzerland 22 160 0.3× 192 0.5× 74 0.2× 130 0.4× 407 1.3× 100 2.6k
Kozo Morita Japan 18 226 0.4× 111 0.3× 67 0.2× 216 0.7× 828 2.7× 88 2.2k
Toshiyuki Kunisada Japan 25 512 0.8× 99 0.2× 47 0.1× 118 0.4× 583 1.9× 130 2.1k
Melvin L. Griem United States 29 55 0.1× 653 1.6× 170 0.5× 246 0.8× 420 1.4× 89 2.9k
Kei Nakai Japan 29 177 0.3× 340 0.8× 32 0.1× 231 0.7× 255 0.8× 177 2.9k
Sergi Vidal‐Sicart Spain 30 149 0.2× 229 0.6× 54 0.1× 246 0.8× 233 0.8× 204 2.9k
B. Saitta United States 21 83 0.1× 136 0.3× 187 0.5× 37 0.1× 512 1.7× 65 1.3k
Daniel W. Miller United States 27 127 0.2× 1.7k 4.1× 36 0.1× 305 1.0× 303 1.0× 57 3.4k

Countries citing papers authored by Nik Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Nik Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nik Hauser

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

All Works

20 of 20 papers shown
1.
Cock, E De, Xavier Pivot, Nik Hauser, et al.. (2016). A time and motion study of subcutaneous versus intravenous trastuzumab in patients with HER2‐positive early breast cancer. Cancer Medicine. 5(3). 389–397. 84 indexed citations
2.
Wang, Zhentian, et al.. (2015). Quantitative volumetric breast density estimation using phase contrast mammography. Physics in Medicine and Biology. 60(10). 4123–4135. 11 indexed citations
3.
Queiroz, Marcelo A., R. Huch, Nik Hauser, et al.. (2015). PET/MRI and PET/CT in advanced gynaecological tumours: initial experience and comparison. European Radiology. 25(8). 2222–2230. 83 indexed citations
4.
Wang, Zhentian, Nik Hauser, Gad Singer, et al.. (2014). Non-invasive classification of microcalcifications with phase-contrast X-ray mammography. Nature Communications. 5(1). 3797–3797. 117 indexed citations
5.
Hauser, Nik, Zhentian Wang, R. Huch, et al.. (2013). A Study on Mastectomy Samples to Evaluate Breast Imaging Quality and Potential Clinical Relevance of Differential Phase Contrast Mammography. Investigative Radiology. 49(3). 131–137. 51 indexed citations
6.
Schwarz, Esther I., et al.. (2012). Breast Abscesses: Diagnosis, Treatment and Outcome. Breast Care. 7(1). 32–38. 23 indexed citations
7.
Froehlich, Johannes M., et al.. (2012). Should less motion sensitive T2-weighted BLADE TSE replace Cartesian TSE for female pelvic MRI?. Insights into Imaging. 3(6). 611–618. 14 indexed citations
8.
Stampanoni, Marco, Zhentian Wang, Thomas Thüring, et al.. (2011). The First Analysis and Clinical Evaluation of Native Breast Tissue Using Differential Phase-Contrast Mammography. Investigative Radiology. 46(12). 801–806. 222 indexed citations
9.
Froehlich, Johannes M., et al.. (2011). MRI of the female pelvis: A possible pitfall in the differentiation of haemorrhagic vs. fatty lesions using fat saturated sequences with inversion recovery. European Journal of Radiology. 81(3). 598–602. 7 indexed citations
10.
Höhl, Michael & Nik Hauser. (2010). Safe total intrafascial laparoscopic (TAIL™) hysterectomy: a prospective cohort study. Gynecological Surgery. 7(3). 231–239. 13 indexed citations
11.
12.
Piecha, Dorothea, Selen C. Muratoglu, Matthias Mörgelin, et al.. (1999). Matrilin-2, a Large, Oligomeric Matrix Protein, Is Expressed by a Great Variety of Cells and Forms Fibrillar Networks. Journal of Biological Chemistry. 274(19). 13353–13361. 72 indexed citations
13.
14.
Hummel, Klaus M., Michel Neidhart, Vladimı́r Vilı́m, et al.. (1998). Analysis of cartilage oligomeric matrix protein (COMP) in synovial fibroblasts and synovial fluids. Lara D. Veeken. 37(7). 721–728. 28 indexed citations
15.
Hauser, Nik, Mats Paulsson, Dick Heinegård, & Matthias Mörgelin. (1996). Interaction of Cartilage Matrix Protein with Aggrecan. Journal of Biological Chemistry. 271(50). 32247–32252. 76 indexed citations
16.
Aszódi, Attila, Nik Hauser, Daniel Studer, et al.. (1996). Cloning, Sequencing and Expression Analysis of Mouse Cartilage Matrix Protein cDNA. European Journal of Biochemistry. 236(3). 970–977. 42 indexed citations
17.
Neidhart, Michel, Nik Hauser, J. Geiss, et al.. (1995). Cartilage proteins in serum and synovial fluid as markers for cartilage degradation. Acta Orthopaedica Scandinavica. 66(sup266). 142–144. 4 indexed citations
18.
Hauser, Nik, J. Geiss, Michel Neidhart, Mats Paulsson, & Hans Jörg Häuselmann. (1995). Distribution of CMP and COMP in human cartilage. Acta Orthopaedica Scandinavica. 66(sup266). 72–73. 7 indexed citations
19.
Hauser, Nik, Mats Paulsson, Dick Heinegård, & Matthias Mörgelin. (1995). Crosslinking of cartilage matrix protein to aggrecan increases with maturation. Acta Orthopaedica Scandinavica. 66(sup266). 71–72. 6 indexed citations
20.
DiCesare, Paul E., et al.. (1994). Cartilage oligomeric matrix protein (COMP) is an abundant component of tendon. FEBS Letters. 354(2). 237–240. 216 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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