Sonja Zweegman
- Hematology top 0.05%
- Molecular Biology top 1%
- Oncology top 0.5%
- Genetics top 0.5%
- Immunology top 2%
- Co-authors
- Niels W.C.J. van de DonkPieter SonneveldHenk M. LokhorstTuna MutisGert J. OssenkoppeleGerrit Jan SchuurhuisEvangelos TerposJacqueline Cloos
- Topics
- Multiple Myeloma Research and Treatments (189 papers)Protein Degradation and Inhibitors (62 papers)Peptidase Inhibition and Analysis (45 papers)
- Cited by
- HematologyOncologyGenetics
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Sonja Zweegman
313 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Hematology 6.5k
- Molecular Biology 5.1k
- Oncology 4.6k
- Genetics 1.5k
- Immunology 1.5k
Countries citing papers authored by Sonja Zweegman
This map shows the geographic impact of Sonja Zweegman'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 Zweegman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Zweegman more than expected).
Fields of papers citing papers by Sonja Zweegman
This network shows the impact of papers produced by Sonja Zweegman. 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 Zweegman. The network helps show where Sonja Zweegman may publish in the future.
Co-authorship network of co-authors of Sonja Zweegman
This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Zweegman. A scholar is included among the top collaborators of Sonja Zweegman 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 Sonja Zweegman. Sonja Zweegman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 47 | |
| 11 | 27 | |
| 12 | 12 | |
| 13 | 68 | |
| 14 | 26 | |
| 15 | 135 | |
| 16 | Carfilzomib for relapsed and refractory multiple myeloma | 1 |
| 17 | 119 | |
| 18 | HOVON 104; FINAL RESULTS FROM A MULTICENTER, PROSPECTIVE PHASE II STUDY OF BORTEZOMIB BASED INDUCTION TREATMENT FOLLOWED BY AUTOLOGOUS STEM CELL TRANSPLANTATION IN PATIENTS WITH DE NOVO AL AMYLOIDOSIS | 1 |
| 19 | 275 | |
| 20 | 142 |
About Sonja Zweegman
Sonja Zweegman is a scholar working on Hematology, Genetics and Oncology, having authored 334 papers that have together received 10.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (189 papers), Protein Degradation and Inhibitors (62 papers) and Peptidase Inhibition and Analysis (45 papers). The work is most often cited by research in Hematology (6.5k citations), Oncology (4.6k citations) and Genetics (1.5k citations). Sonja Zweegman has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Niels W.C.J. van de Donk, Pieter Sonneveld, Henk M. Lokhorst, Tuna Mutis, Gert J. Ossenkoppele, Gerrit Jan Schuurhuis, Evangelos Terpos, Jacqueline Cloos, Meletios Α. Dimopoulos and Philippe Moreau. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.