Beate Müller‐Tiemann
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Biotechnology top 10%
- Co-authors
- Thanos D. HalazonetisJames J. EltingLars LindénBeatrix Stelte‐LudwigAxel HarrengaKerstin UnterschemmannCharlotte KopitzFrank-Detlef Scholle
- Topics
- Monoclonal and Polyclonal Antibodies Research (5 papers)Protein purification and stability (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Beate Müller‐Tiemann
12 papers receiving 528 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 305
- Oncology 224
- Radiology, Nuclear Medicine and Imaging 213
- Pulmonary and Respiratory Medicine 84
- Biotechnology 71
Countries citing papers authored by Beate Müller‐Tiemann
This map shows the geographic impact of Beate Müller‐Tiemann'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 Müller‐Tiemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Müller‐Tiemann more than expected).
Fields of papers citing papers by Beate Müller‐Tiemann
This network shows the impact of papers produced by Beate Müller‐Tiemann. 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 Müller‐Tiemann. The network helps show where Beate Müller‐Tiemann may publish in the future.
Co-authorship network of co-authors of Beate Müller‐Tiemann
This figure shows the co-authorship network connecting the top 25 collaborators of Beate Müller‐Tiemann. A scholar is included among the top collaborators of Beate Müller‐Tiemann 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 Müller‐Tiemann. Beate Müller‐Tiemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 191 | |
| 2 | 8 | |
| 3 | 58 | |
| 4 | 5 | |
| 5 | 33 | |
| 6 | 29 | |
| 7 | 20 | |
| 8 | 7 | |
| 9 | 44 | |
| 10 | Imaging of tumor angiogenesis using 99mTc-labeled human recombinant anti-ED-B fibronectin antibody fragments. | 58 |
| 11 | 21 | |
| 12 | 74 |
About Beate Müller‐Tiemann
Beate Müller‐Tiemann is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 12 papers that have together received 548 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (213 citations), Oncology (224 citations) and Biotechnology (71 citations). Beate Müller‐Tiemann has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Thanos D. Halazonetis, James J. Elting, Lars Lindén, Beatrix Stelte‐Ludwig, Axel Harrenga, Kerstin Unterschemmann, Charlotte Kopitz, Frank-Detlef Scholle, Christoph A. Schatz and Antje Kahnert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology 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.