Saskia Neuteboom

3.4k citations
53 papers · 2.4k indexed · 1 hit paper · h-index 23

Saskia Neuteboom

52 papers receiving 2.3k citations

Hit Papers

A novel orally active proteasome inhibitor induces apopto...5602005202620122019100200300400500

Peers

Saskia Neuteboom
Comparison fields: 5 of 100
  • Biotechnology 310
  • Hematology 350
  • Molecular Biology 1.8k
  • Oncology 596
  • Pharmacology 339
Replace Shingo Dan with:
Shingo Dan Japan
Yutaka Kanda Japan
James F. Sanchez United States
Tamio Mizukami Japan
Marianne S. Poruchynsky United States
Francisco Romero Spain
David H. Drewry United States
Hidesuke Fukazawa Japan
Kentaro Yoshimatsu Japan
Keith R. Marotti United States
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Citations per field
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Citations per year

Countries citing papers authored by Saskia Neuteboom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Saskia Neuteboom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saskia Neuteboom Line = papers co-authored together Saskia Neuteboom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 201241
4 201125
5 2011123
6 20091
7 200813
8
Phase 1 clinical trials of NPI-2358 (a novel vascular disrupting agent) in patients with solid tumors and lymphomas
20071
9
Pharmacodynamic profiling defines the significant biological activities of the novel proteasome inhibitor NPI-0052: Comparison with Velcade® (Bortezomib)
20061
10 2005201
11 20035
12 200358
13 200219
14 20017
15 199760
16 199591
17 199311
18 198812
19 198736
20 198643

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), Peptidase Inhibition and Analysis (7 papers), Glycosylation and Glycoproteins Research (6 papers), Multiple Myeloma Research and Treatments (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Phagocytosis and Immune Regulation (5 papers) and Renal cell carcinoma treatment (4 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.

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