Beth A. A. Weaver

46 papers receiving 5.8k citations

Beth A. A. Weaver's Hit Papers

How Taxol/paclitaxel kills cancer cells 2014 · 1.2k citations
1.2k0+7+14Years since publication4008001.2k

Peers

Beth A. A. Weaver
Comparison fields: 5 of 88
  • Cell Biology 2.4k
  • Drug Discovery 3
  • Cancer Research 313
  • Oncology 397
  • Biomaterials 140
Replace Adam I. Marcus with:
Adam I. Marcus United States
Akihiro Tomida Japan
Pascal Verdier‐Pinard United States
Jan Brábek Czechia
Brian G. Gabrielli Australia
Carmela Ricciardelli Australia
Melissa D. Landis United States
Daniel Rösel Czechia
Jeffrey R. Jackson United States
Michael Susithiran Samuel Australia
Beth A. A. Weaver relative to Adam I. Marcus United States Adam I. Marcus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beth A. A. Weaver

Since Specialization
Citations

This map shows the geographic impact of Beth A. A. Weaver'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 Beth A. A. Weaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth A. A. Weaver more than expected).

Fields of papers citing papers by Beth A. A. Weaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth A. A. Weaver. 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 Beth A. A. Weaver. The network helps show where Beth A. A. Weaver may publish in the future.

Co-authors

The 25 scholars most cited alongside Beth A. A. Weaver, 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 Beth A. A. Weaver Line = papers co-authored together Beth A. A. Weaver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How Taxol/paclitaxel kills cancer cells
Hit paper breakdown →
20141225
2
On the road to cancer: aneuploidy and the mitotic checkpoint
Hit paper breakdown →
2005959
3 2006603
4 2006441
5 2005440
6 2014331
7 2003218
8 2005213
9 2013208
10 2007158
11 2016115
12 201696
13 202194
14 201385
15 200882
16 201281
17 200967
18 201648
19 200646
20 201628

About Beth A. A. Weaver

Beth A. A. Weaver is a scholar working on Cell Biology, Cancer Research, Oncology, Cellular and Molecular Neuroscience and Hematology, having authored 48 papers that have together received 5.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (36 papers), Cancer-related Molecular Pathways (2 papers), Protein Tyrosine Phosphatases (1 paper), Cancer Genomics and Diagnostics (1 paper), Acute Myeloid Leukemia Research (1 paper), NF-κB Signaling Pathways (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cell Biology (2.4k citations), Drug Discovery (3 citations), Cancer Research (313 citations), Oncology (397 citations) and Biomaterials (140 citations). Beth A. A. Weaver has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Don W. Cleveland, Geert J.P.L. Kops, Alain D. Silk, Lauren M. Zasadil, Pascal Verdier‐Pinard, Mark E. Burkard, Gabrielle Betty Rocque, Lee Gravatt Wilke, Ronald T. Raines and Kristen A. Andersen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, Cancer Cell, The Journal of Cell Biology and Cancer Research.

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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