Beatrix Böhme
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
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- Axon Guidance and Neuronal Signaling
Papers in
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- Kruppel-like factors research 1
- TGF-β signaling in diseases 1
- Angiogenesis and VEGF in Cancer 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Helga Rübsamen‐Waigmann (7 shared papers)Klaus Strebhardt (7 shared papers)Uwe Holtrich (6 shared papers)Thomas Karn (5 shared papers)Georg Wolf (3 shared papers)Andreas Bräuninger (3 shared papers)Björn Hock (2 shared papers)Takaharu Yamamoto (1 shared paper)
In The Last Decade
Beatrix Böhme
9 papers receiving 710 citations
Peers
Comparison fields: 5 of 65
- Cell Biology 322
- Cellular and Molecular Neuroscience 220
- Immunology and Allergy 71
- Molecular Biology 497
- Oncology 189
Countries citing papers authored by Beatrix Böhme
This map shows the geographic impact of Beatrix Böhme'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 Beatrix Böhme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrix Böhme more than expected).
Fields of papers citing papers by Beatrix Böhme
This network shows the impact of papers produced by Beatrix Böhme. 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 Beatrix Böhme. The network helps show where Beatrix Böhme may publish in the future.
Co-authors
The 25 scholars most cited alongside Beatrix Böhme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 236 | |
| 2 | 1998 | 177 | |
| 3 | 1996 | 61 | |
| 4 | 1999 | 60 | |
| 5 | Structure, expression and chromosomal mapping of TKT from man and mouse: a new subclass of receptor tyrosine kinases with a factor VIII-like domain. | 1993 | 59 |
| 6 | 1998 | 47 | |
| 7 | Transforming growth factor-beta stimulates urokinase expression in tumor-associated macrophages of the breast. | 1998 | 43 |
| 8 | PCR mediated detection of a new human receptor-tyrosine-kinase, HEK 2. | 1993 | 43 |
| 9 | 1994 | 2 |
About Beatrix Böhme
Beatrix Böhme is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Rheumatology and Cell Biology, having authored 9 papers that have together received 728 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (2 papers), Kruppel-like factors research (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), TGF-β signaling in diseases (1 paper), Computational Drug Discovery Methods (1 paper), Bone and Dental Protein Studies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Cell Biology (322 citations), Cellular and Molecular Neuroscience (220 citations), Immunology and Allergy (71 citations), Molecular Biology (497 citations) and Oncology (189 citations). Beatrix Böhme has collaborated with scholars based in Germany, Japan and Canada. Frequent co-authors include Helga Rübsamen‐Waigmann, Klaus Strebhardt, Uwe Holtrich, Thomas Karn, Georg Wolf, Andreas Bräuninger, Björn Hock, Takaharu Yamamoto, Kozo Kaibuchi and Tony Pawson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Leukocyte Biology, Oncogene, Journal of Biological Chemistry and Oncology Reports.
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.