Cited by 2,625Angiogenesis and VEGF in CancerMonoclonal and Polyclonal Antibodies ResearchColorectal Cancer Treatments and Studies

Discovery and development of bevacizumab, an anti-VEGF antibody for treating cancer

Ferrara, Napoleone, Hillan, Kenneth J., Gerber, Hans-Peter, Novotny, William·2004·Nature Reviews Drug Discovery

Integrity signals

Registry

Crossref · 10.1038/nrd1381

Cites

161 of 161 references verified0 citation errors · 0 not checkable

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Authors
Ferrara, N., Hillan, K. J., Gerber, H.-P., & Novotny, W.
Affiliations
Genentech (US)
Corresponding author
Ferrara, Napoleone
Venue
Nature Reviews Drug Discovery
Published
2004-05-01
Volume
3
Issue
5
Pages
391-400
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W1539571840
Cited by
2,625
References
161
Citations by year
2026: 71 · 2025: 84 · 2024: 93 · 2023: 117 · 2022: 93 · 2021: 118 · 2020: 118 · 2019: 115 · 2018: 100 · 2017: 101 · 2016: 130 · 2015: 126 · 2014: 148 · 2013: 174 · 2012: 150
FWCI
8.50
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Reviews Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
Keywords
bevacizumab, anti-VEGF antibody, vascular endothelial growth factor, tumor angiogenesis, anti-angiogenic therapy, metastatic colorectal cancer, monoclonal antibodies, humanized monoclonal antibody, drug development history
MeSH terms
Bevacizumab, Animals, Antibodies, Monoclonal, Drug Administration Schedule, Humans, Colorectal Neoplasms, Survival Analysis, Randomized Controlled Trials as Topic, Angiogenesis Inhibitors, Vascular Endothelial Growth Factor A, Antibodies, Monoclonal, Humanized

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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