Sven H. Hausner
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology and Allergy top 2%
- Oncology top 10%
- Molecular Biology
- Organic Chemistry top 10%
- Co-authors
- Julie L. SutcliffeJan Mařı́kMarie-Hélène GagnonJohn F. MarshallRyan A. DavisRichard D. CarpenterAndrea B. R. MayerJames E. Mark
- Topics
- Cell Adhesion Molecules Research (14 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)Peptidase Inhibition and Analysis (7 papers)
- Journals
- Proceedings of the National Academy of SciencesEnvironmental Science & TechnologyCancer Research
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Sven H. Hausner
33 papers receiving 956 citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 458
- Immunology and Allergy 350
- Oncology 312
- Molecular Biology 255
- Organic Chemistry 238
Countries citing papers authored by Sven H. Hausner
This map shows the geographic impact of Sven H. Hausner'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 Sven H. Hausner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven H. Hausner more than expected).
Fields of papers citing papers by Sven H. Hausner
This network shows the impact of papers produced by Sven H. Hausner. 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 Sven H. Hausner. The network helps show where Sven H. Hausner may publish in the future.
Co-authorship network of co-authors of Sven H. Hausner
This figure shows the co-authorship network connecting the top 25 collaborators of Sven H. Hausner. A scholar is included among the top collaborators of Sven H. Hausner 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 Sven H. Hausner. Sven H. Hausner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 81 | |
| 9 | 22 | |
| 10 | 8 | |
| 11 | 46 | |
| 12 | 35 | |
| 13 | 7 | |
| 14 | 55 | |
| 15 | 40 | |
| 16 | 92 | |
| 17 | 58 | |
| 18 | 13 | |
| 19 | 116 | |
| 20 | 19 |
About Sven H. Hausner
Sven H. Hausner is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films, having authored 33 papers that have together received 966 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Immunology and Allergy (350 citations), Radiology, Nuclear Medicine and Imaging (458 citations) and Oncology (312 citations). Sven H. Hausner has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Julie L. Sutcliffe, Jan Mařı́k, Marie-Hélène Gagnon, John F. Marshall, Ryan A. Davis, Richard D. Carpenter, Andrea B. R. Mayer, James E. Mark, Danielle DiCara and Craig K. Abbey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Cancer Research.
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.