Beate Stradmann‐Bellinghausen
- Epidemiology
- Immunology
- Genetics top 10%
- Molecular Biology
- Hepatology top 5%
- Co-authors
- Peter M. SchneiderChristian RittnerArman NotghiNicolai SavaskanAnne Régnier‐VigourouxEduard YakubovThomas HöhlerRoland Sänger
- Topics
- Complement system in diseases (7 papers)Forensic and Genetic Research (6 papers)Molecular Biology Techniques and Applications (5 papers)
- Cited by
- HepatologyImmunologyGenetics
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Beate Stradmann‐Bellinghausen
25 papers receiving 538 citations
Peers
Comparison fields: 5 of 65
- Epidemiology 192
- Immunology 188
- Genetics 178
- Molecular Biology 168
- Hepatology 164
Countries citing papers authored by Beate Stradmann‐Bellinghausen
This map shows the geographic impact of Beate Stradmann‐Bellinghausen'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 Beate Stradmann‐Bellinghausen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Stradmann‐Bellinghausen more than expected).
Fields of papers citing papers by Beate Stradmann‐Bellinghausen
This network shows the impact of papers produced by Beate Stradmann‐Bellinghausen. 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 Beate Stradmann‐Bellinghausen. The network helps show where Beate Stradmann‐Bellinghausen may publish in the future.
Co-authorship network of co-authors of Beate Stradmann‐Bellinghausen
This figure shows the co-authorship network connecting the top 25 collaborators of Beate Stradmann‐Bellinghausen. A scholar is included among the top collaborators of Beate Stradmann‐Bellinghausen 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 Beate Stradmann‐Bellinghausen. Beate Stradmann‐Bellinghausen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 65 | |
| 3 | 24 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 55 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 46 | |
| 11 | 5 | |
| 12 | 54 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | Genetic polymorphisms of the A and B subunits of coagulation factor XIII in the Chinese population. | 3 |
| 16 | 104 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 21 |
About Beate Stradmann‐Bellinghausen
Beate Stradmann‐Bellinghausen is a scholar working on Hematology, Immunology and Hepatology, having authored 27 papers that have together received 554 indexed citations. Recurring topics across this work include Complement system in diseases (7 papers), Forensic and Genetic Research (6 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Hepatology (164 citations), Immunology (188 citations) and Genetics (178 citations). Beate Stradmann‐Bellinghausen has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Peter M. Schneider, Christian Rittner, Arman Notghi, Nicolai Savaskan, Anne Régnier‐Vigouroux, Eduard Yakubov, Thomas Höhler, Roland Sänger, Michael P. Manns and Karl‐Hermann Meyer zum Büschenfelde. Their work appears in journals such as Gastroenterology, Journal of Hepatology and Electrophoresis.
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.