Keith W. Vance

2.0k total citations
24 papers, 1.5k citations indexed

About

Keith W. Vance is a scholar working on Molecular Biology, Cancer Research and Dermatology. According to data from OpenAlex, Keith W. Vance has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Cancer Research and 2 papers in Dermatology. Recurrent topics in Keith W. Vance's work include Cancer-related molecular mechanisms research (11 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (6 papers). Keith W. Vance is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (6 papers). Keith W. Vance collaborates with scholars based in United Kingdom, South Africa and Saudi Arabia. Keith W. Vance's co-authors include Chris P. Ponting, Colin R. Goding, Suzanne Carreira, Gerald Brosch, Stephen N. Sansom, Lesheng Kong, Amaal Abrahams, Sharon Prince, Sarah Cooper and Peter L. Oliver and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Bioinformatics.

In The Last Decade

Keith W. Vance

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith W. Vance United Kingdom 14 1.2k 781 185 144 120 24 1.5k
Roberta Benetti Italy 20 1.6k 1.4× 531 0.7× 185 1.0× 194 1.3× 130 1.1× 26 2.1k
Maria Ferraiuolo Canada 17 1.3k 1.1× 333 0.4× 186 1.0× 184 1.3× 132 1.1× 21 1.5k
Katherine McJunkin United States 15 1.5k 1.3× 1.0k 1.3× 56 0.3× 175 1.2× 146 1.2× 27 1.9k
Bertrand Chin‐Ming Tan Taiwan 23 1.7k 1.4× 406 0.5× 118 0.6× 164 1.1× 137 1.1× 63 1.9k
Xiaoli Tang China 19 850 0.7× 473 0.6× 112 0.6× 223 1.5× 117 1.0× 60 1.3k
Dimitrios Cakouros Australia 22 1.1k 0.9× 246 0.3× 112 0.6× 153 1.1× 122 1.0× 32 1.5k
Stefan Schoeftner Italy 22 2.4k 2.0× 691 0.9× 58 0.3× 167 1.2× 223 1.9× 29 2.9k
Touati Benoukraf Singapore 23 1.5k 1.3× 487 0.6× 73 0.4× 285 2.0× 196 1.6× 47 2.0k
Michela Clerici Italy 22 1.8k 1.5× 359 0.5× 250 1.4× 305 2.1× 82 0.7× 38 2.1k

Countries citing papers authored by Keith W. Vance

Since Specialization
Citations

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

Fields of papers citing papers by Keith W. Vance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith W. Vance. 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 Keith W. Vance. The network helps show where Keith W. Vance may publish in the future.

Co-authorship network of co-authors of Keith W. Vance

This figure shows the co-authorship network connecting the top 25 collaborators of Keith W. Vance. A scholar is included among the top collaborators of Keith W. Vance 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 Keith W. Vance. Keith W. Vance 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.
Lovell, S., et al.. (2025). An Intracellular Peptide Library Screening Platform Identifies Irreversible Covalent Transcription Factor Inhibitors. Advanced Science. 12(18). e2416963–e2416963. 2 indexed citations
2.
3.
Shapiro, Michael, Giuseppina Pisignano, Jelena Telenius, et al.. (2022). Chromatin interaction maps identify Wnt responsive cis-regulatory elements coordinating Paupar-Pax6 expression in neuronal cells. PLoS Genetics. 18(6). e1010230–e1010230. 7 indexed citations
4.
Sun, Bin, et al.. (2022). What has single-cell transcriptomics taught us about long non-coding RNAs in the ventricular-subventricular zone?. Stem Cell Reports. 18(1). 354–376. 2 indexed citations
5.
Tan, Jennifer Y., Michael Shapiro, Pakavarin Louphrasitthiphol, et al.. (2019). The MITF-SOX10 regulated long non-coding RNA DIRC3 is a melanoma tumour suppressor. PLoS Genetics. 15(12). e1008501–e1008501. 53 indexed citations
6.
Sun, Bin, Neil R. Clark, Tamara Sirey, et al.. (2018). The long non‐coding RNA Paupar promotes KAP 1‐dependent chromatin changes and regulates olfactory bulb neurogenesis. The EMBO Journal. 37(10). 50 indexed citations
7.
Vance, Keith W.. (2016). Mapping Long Noncoding RNA Chromatin Occupancy Using Capture Hybridization Analysis of RNA Targets (CHART). Methods in molecular biology. 1468. 39–50. 11 indexed citations
8.
Vance, Keith W., Stephen N. Sansom, Stephen Lee, et al.. (2014). The long non-coding RNA Paupar regulates the expression of both local and distal genes. The EMBO Journal. 33(4). 296–311. 171 indexed citations
9.
Vance, Keith W. & Chris P. Ponting. (2014). Transcriptional regulatory functions of nuclear long noncoding RNAs. Trends in Genetics. 30(8). 348–355. 347 indexed citations
10.
Tan, Jennifer Y., Keith W. Vance, Miguel A. Varela, et al.. (2014). Cross-talking noncoding RNAs contribute to cell-specific neurodegeneration in SCA7. Nature Structural & Molecular Biology. 21(11). 955–961. 72 indexed citations
11.
Woodcock, Dan J., Keith W. Vance, Michał Komorowski, et al.. (2013). A hierarchical model of transcriptional dynamics allows robust estimation of transcription rates in populations of single cells with variable gene copy number. Bioinformatics. 29(12). 1519–1525. 3 indexed citations
12.
Jeziorska, Danuta M., Georgy Koentges, & Keith W. Vance. (2011). Novel cis-Regulatory Modules Control Expression of the Hairy and Enhancer of Split-1 (HES1) Transcription Factor in Myoblasts. Journal of Biological Chemistry. 287(8). 5687–5697. 5 indexed citations
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14.
Jeziorska, Danuta M., Sascha Ott, T. Katherine Tamai, et al.. (2011). Extracting Fluorescent Reporter Time Courses of Cell Lineages from High-Throughput Microscopy at Low Temporal Resolution. PLoS ONE. 6(12). e27886–e27886. 24 indexed citations
15.
Vance, Keith W., Heather M. Shaw, Mercedes Rodríguez, Sascha Ott, & Colin R. Goding. (2010). The Retinoblastoma Protein Modulates Tbx2 Functional Specificity. Molecular Biology of the Cell. 21(15). 2770–2779. 28 indexed citations
16.
Jeziorska, Danuta M., Kate W. Jordan, & Keith W. Vance. (2009). A systems biology approach to understanding cis-regulatory module function. Seminars in Cell and Developmental Biology. 20(7). 856–862. 28 indexed citations
17.
Vance, Keith W., Suzanne Carreira, Gerald Brosch, & Colin R. Goding. (2005). Tbx2 Is Overexpressed and Plays an Important Role in Maintaining Proliferation and Suppression of Senescence in Melanomas. Cancer Research. 65(6). 2260–2268. 189 indexed citations
18.
Vance, Keith W. & Colin R. Goding. (2004). The Transcription Network Regulating Melanocyte Development and Melanoma. Pigment Cell Research. 17(4). 318–325. 162 indexed citations
19.
Prince, Sharon, Suzanne Carreira, Keith W. Vance, Amaal Abrahams, & Colin R. Goding. (2004). Tbx2 Directly Represses the Expression of the p21WAF1 Cyclin-Dependent Kinase Inhibitor. Cancer Research. 64(5). 1669–1674. 131 indexed citations
20.
Vance, Keith W., M. Saveria Campo, & Iain M. Morgan. (1999). An Enhanced Epithelial Response of a Papillomavirus Promoter to Transcriptional Activators. Journal of Biological Chemistry. 274(39). 27839–27844. 21 indexed citations

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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