Vikki M. Weake

2.3k total citations · 1 hit paper
42 papers, 1.6k citations indexed

About

Vikki M. Weake is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Vikki M. Weake has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Plant Science. Recurrent topics in Vikki M. Weake's work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (12 papers) and Ubiquitin and proteasome pathways (8 papers). Vikki M. Weake is often cited by papers focused on Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (12 papers) and Ubiquitin and proteasome pathways (8 papers). Vikki M. Weake collaborates with scholars based in United States, New Zealand and Canada. Vikki M. Weake's co-authors include Jerry L. Workman, Rachel Stegeman, Hana Hall, Susan M. Abmayr, Michael P. Washburn, Laurence Florens, Christopher Seidel, Jingqun Ma, Selene K. Swanson and Sebastián Guelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Vikki M. Weake

41 papers receiving 1.6k citations

Hit Papers

Histone Ubiquitination: Triggering Gene Activity 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Histone Ubiquitination: Triggering Gene Activity
    2008 509 citations Vikki M. Weake, Jerry L. Workman profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vikki M. Weake United States 19 1.4k 240 163 154 107 42 1.6k
Aaron C. Goldstrohm United States 24 2.1k 1.5× 105 0.4× 122 0.7× 119 0.8× 179 1.7× 40 2.4k
Charalampos Rallis United Kingdom 19 1.2k 0.9× 243 1.0× 292 1.8× 54 0.4× 178 1.7× 43 1.6k
Erich Brunner Switzerland 20 1.9k 1.3× 150 0.6× 207 1.3× 182 1.2× 87 0.8× 32 2.2k
Hana Hall United States 12 1.0k 0.7× 130 0.5× 65 0.4× 69 0.4× 57 0.5× 19 1.1k
Svetlana Petruk United States 18 1.3k 1.0× 192 0.8× 174 1.1× 117 0.8× 41 0.4× 27 1.6k
Angus M. MacNicol United States 24 1.6k 1.2× 80 0.3× 178 1.1× 71 0.5× 80 0.7× 59 2.1k
Franz Wittwer Switzerland 8 651 0.5× 239 1.0× 88 0.5× 261 1.7× 121 1.1× 8 1.1k
Vincent Ossipow Switzerland 12 619 0.4× 109 0.5× 114 0.7× 96 0.6× 49 0.5× 14 993
Rakhee Banerjee United States 10 812 0.6× 103 0.4× 139 0.9× 68 0.4× 90 0.8× 22 1.0k

Countries citing papers authored by Vikki M. Weake

Since Specialization
Citations

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

Fields of papers citing papers by Vikki M. Weake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikki M. Weake. 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 Vikki M. Weake. The network helps show where Vikki M. Weake may publish in the future.

Co-authorship network of co-authors of Vikki M. Weake

This figure shows the co-authorship network connecting the top 25 collaborators of Vikki M. Weake. A scholar is included among the top collaborators of Vikki M. Weake 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 Vikki M. Weake. Vikki M. Weake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Weake, Vikki M., et al.. (2023). Establishing the contribution of active histone methylation marks to the aging transcriptional landscape of Drosophila photoreceptors. Scientific Reports. 13(1). 5105–5105. 3 indexed citations
2.
Lanman, Nadia A., et al.. (2022). Proper control of R‐loop homeostasis is required for maintenance of gene expression and neuronal function during aging. Aging Cell. 21(2). e13554–e13554. 23 indexed citations
3.
4.
Weake, Vikki M., et al.. (2021). In vivo tissue-specific chromatin profiling in Drosophila melanogaster using GFP-tagged nuclei. Genetics. 218(3). 12 indexed citations
5.
Weake, Vikki M., et al.. (2020). The Gcn5 complexes in Drosophila as a model for metazoa. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1864(2). 194610–194610. 16 indexed citations
6.
7.
Hall, Hana, et al.. (2018). Blue light induces a neuroprotective gene expression program in Drosophila photoreceptors. BMC Neuroscience. 19(1). 43–43. 33 indexed citations
8.
Stegeman, Rachel & Vikki M. Weake. (2017). Transcriptional Signatures of Aging. Journal of Molecular Biology. 429(16). 2427–2437. 100 indexed citations
9.
Hall, Hana, Daphne Cooper, Christopher Vincent, et al.. (2017). Transcriptome profiling of aging Drosophila photoreceptors reveals gene expression trends that correlate with visual senescence. BMC Genomics. 18(1). 894–894. 61 indexed citations
10.
Chen, Xinping, et al.. (2017). A programmable optical stimulator for the Drosophila eye. HardwareX. 2. 13–33. 7 indexed citations
11.
Dutta, Arnob, Madelaine Gogol, Vikki M. Weake, et al.. (2016). Myeloid Leukemia Factor Acts in a Chaperone Complex to Regulate Transcription Factor Stability and Gene Expression. Journal of Molecular Biology. 429(13). 2093–2107. 11 indexed citations
12.
Ma, Jingqun & Vikki M. Weake. (2014). Affinity-based Isolation of Tagged Nuclei from <em>Drosophila</em> Tissues for Gene Expression Analysis. Journal of Visualized Experiments. 21 indexed citations
13.
Stephenson, Robert E., et al.. (2014). Characterization of a Drosophila Ortholog of the Cdc7 Kinase. Journal of Biological Chemistry. 290(3). 1332–1347. 14 indexed citations
14.
Weake, Vikki M. & Jerry L. Workman. (2011). SAGA function in tissue-specific gene expression. Trends in Cell Biology. 22(4). 177–184. 50 indexed citations
15.
Weake, Vikki M., Christopher Seidel, Andrew Box, et al.. (2011). Post-transcription initiation function of the ubiquitous SAGA complex in tissue-specific gene activation. Genes & Development. 25(14). 1499–1509. 54 indexed citations
16.
Schiemann, Anja, Fang Li, Vikki M. Weake, et al.. (2010). Sex-biased transcription enhancement by a 5' tethered Gal4-MOF histone acetyltransferase fusion protein in Drosophila. BMC Molecular Biology. 11(1). 80–80. 2 indexed citations
17.
Schiemann, Anja, et al.. (2010). The importance of location and orientation of male specific lethal complex binding sites of differing affinities on reporter gene dosage compensation in Drosophila. Biochemical and Biophysical Research Communications. 402(4). 699–704. 3 indexed citations
18.
Weake, Vikki M. & Jerry L. Workman. (2010). Inducible gene expression: diverse regulatory mechanisms. Nature Reviews Genetics. 11(6). 426–437. 272 indexed citations
19.
Weake, Vikki M., Kenneth K Lee, Sebastián Guelman, et al.. (2008). SAGA‐mediated H2B deubiquitination controls the development of neuronal connectivity in the Drosophila visual system. The EMBO Journal. 27(2). 394–405. 96 indexed citations
20.

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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