Sonja Mandl–Weber
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Nephrology top 5%
- Dialysis and Renal Disease Management
Papers in
- Hematology 16
- Multiple Myeloma Research and Treatments 14
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- Dialysis and Renal Disease Management 3
- Co-authors
- Ralf SchmidmaierFuat OduncuPhilipp BaumannBettina HaslingerThomas SitterBertold EmmerichClemens D. CohenMatthias Kretzler
- Journals
- British Journal of Haematology (3 papers)Anti-Cancer Drugs (3 papers)Peritoneal Dialysis International (3 papers)Blood (3 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- GermanyNetherlandsTaiwan
In The Last Decade
Sonja Mandl–Weber
26 papers receiving 902 citations
Peers
Comparison fields: 5 of 80
- Hematology 241
- Nephrology 98
- Genetics 117
- Pathology and Forensic Medicine 153
- Oncology 225
Countries citing papers authored by Sonja Mandl–Weber
This map shows the geographic impact of Sonja Mandl–Weber'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 Sonja Mandl–Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Mandl–Weber more than expected).
Fields of papers citing papers by Sonja Mandl–Weber
This network shows the impact of papers produced by Sonja Mandl–Weber. 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 Sonja Mandl–Weber. The network helps show where Sonja Mandl–Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Mandl–Weber, 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 | 2011 | 44 | |
| 2 | 2011 | 13 | |
| 3 | 2010 | 11 | |
| 4 | 2010 | 61 | |
| 5 | 2009 | 13 | |
| 6 | 2009 | 21 | |
| 7 | 2008 | 23 | |
| 8 | 2008 | 101 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 44 | |
| 11 | 2007 | 56 | |
| 12 | 2007 | 34 | |
| 13 | 2007 | 14 | |
| 14 | 2003 | 41 | |
| 15 | 2002 | 113 | |
| 16 | 2001 | 24 | |
| 17 | 2001 | 42 | |
| 18 | 2001 | 11 | |
| 19 | 2001 | 20 | |
| 20 | 2000 | 6 |
About Sonja Mandl–Weber
Sonja Mandl–Weber is a scholar working on Hematology, Nephrology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 26 papers that have together received 921 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Protein Degradation and Inhibitors (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Dialysis and Renal Disease Management (3 papers), Ubiquitin and proteasome pathways (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Hematology (241 citations), Nephrology (98 citations), Genetics (117 citations), Pathology and Forensic Medicine (153 citations) and Oncology (225 citations). Sonja Mandl–Weber has collaborated with scholars based in Germany, Netherlands and Taiwan. Frequent co-authors include Ralf Schmidmaier, Fuat Oduncu, Philipp Baumann, Bettina Haslinger, Thomas Sitter, Philipp Baumann, Bertold Emmerich, Clemens D. Cohen, Matthias Kretzler and Christian Straka. Their work appears in journals such as British Journal of Haematology, Anti-Cancer Drugs, Peritoneal Dialysis International, Blood and Molecular Cancer Therapeutics.
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.