Saskia Neuteboom
- Molecular Biology top 5%
- Oncology top 5%
- Hematology top 5%
- Organic Chemistry top 5%
- Pharmacology top 5%
- Co-authors
- Michael A. PalladinoBenjamin NicholsonTa‐Hsiang ChaoCornelis MurreG. Kenneth LloydBarbara C. M. PottsRama Rao ManamKin S. Lam
- Topics
- Ubiquitin and proteasome pathways (23 papers)Cancer-related Molecular Pathways (8 papers)Peptidase Inhibition and Analysis (7 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Saskia Neuteboom
52 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.8k
- Oncology 596
- Hematology 350
- Organic Chemistry 347
- Pharmacology 339
Countries citing papers authored by Saskia Neuteboom
This map shows the geographic impact of Saskia Neuteboom'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 Saskia Neuteboom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia Neuteboom more than expected).
Fields of papers citing papers by Saskia Neuteboom
This network shows the impact of papers produced by Saskia Neuteboom. 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 Saskia Neuteboom. The network helps show where Saskia Neuteboom may publish in the future.
Co-authorship network of co-authors of Saskia Neuteboom
This figure shows the co-authorship network connecting the top 25 collaborators of Saskia Neuteboom. A scholar is included among the top collaborators of Saskia Neuteboom 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 Saskia Neuteboom. Saskia Neuteboom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 41 | |
| 4 | 25 | |
| 5 | 123 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | Phase 1 clinical trials of NPI-2358 (a novel vascular disrupting agent) in patients with solid tumors and lymphomas | 1 |
| 9 | Pharmacodynamic profiling defines the significant biological activities of the novel proteasome inhibitor NPI-0052: Comparison with Velcade® (Bortezomib) | 1 |
| 10 | 201 | |
| 11 | 5 | |
| 12 | 58 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 60 | |
| 16 | 91 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 36 | |
| 20 | 43 |
About Saskia Neuteboom
Saskia Neuteboom is a scholar working on Oncology, Biotechnology and Hematology, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (23 papers), Cancer-related Molecular Pathways (8 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Biotechnology (310 citations), Hematology (350 citations) and Molecular Biology (1.8k citations). Saskia Neuteboom has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Michael A. Palladino, Benjamin Nicholson, Ta‐Hsiang Chao, Cornelis Murre, G. Kenneth Lloyd, Barbara C. M. Potts, Rama Rao Manam, Kin S. Lam, Paul G. Richardson and Yoshiaki Kiso. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine 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.