Alison Sparks

2.9k total citations
18 papers, 2.4k citations indexed

About

Alison Sparks is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Alison Sparks has authored 18 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Oncology and 4 papers in Biotechnology. Recurrent topics in Alison Sparks's work include Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (7 papers) and Cancer Research and Treatments (4 papers). Alison Sparks is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (7 papers) and Cancer Research and Treatments (4 papers). Alison Sparks collaborates with scholars based in United Kingdom and Italy. Alison Sparks's co-authors include David P. Lane, Mark K. Saville, Ted R. Hupp, Nerea Allende-Vega, Dimitris P. Xirodimas, Christine Blattner, Lauren Stevenson, Carol Midgley, Volker Böttger and Angelika Böttger and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Alison Sparks

17 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Sparks United Kingdom 16 2.1k 1.6k 390 367 224 18 2.4k
Carl G. Maki United States 27 2.3k 1.1× 1.8k 1.1× 400 1.0× 584 1.6× 328 1.5× 62 2.9k
Rebecca Haffner Israel 12 1.8k 0.8× 1.4k 0.9× 383 1.0× 336 0.9× 204 0.9× 15 2.3k
Mark K. Saville United Kingdom 23 2.7k 1.3× 1.9k 1.1× 267 0.7× 490 1.3× 362 1.6× 33 3.2k
Tamara Terzian United States 18 1.5k 0.7× 1.5k 0.9× 322 0.8× 480 1.3× 222 1.0× 21 2.0k
Jeremy P. Blaydes United Kingdom 32 1.6k 0.7× 987 0.6× 212 0.5× 342 0.9× 133 0.6× 54 2.2k
Aart G. Jochemsen Netherlands 26 3.0k 1.4× 3.0k 1.8× 658 1.7× 545 1.5× 365 1.6× 37 3.7k
Sarah Francoz Belgium 11 1.4k 0.6× 1.2k 0.8× 238 0.6× 310 0.8× 172 0.8× 12 1.8k
Christine A. Jost United States 7 1.9k 0.9× 1.5k 0.9× 665 1.7× 302 0.8× 201 0.9× 7 2.5k
Elena S. Stavridi United States 14 1.9k 0.9× 1.0k 0.6× 165 0.4× 342 0.9× 309 1.4× 15 2.2k
Yunping Lin Canada 10 1.6k 0.8× 1.1k 0.7× 170 0.4× 411 1.1× 159 0.7× 11 2.0k

Countries citing papers authored by Alison Sparks

Since Specialization
Citations

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

Fields of papers citing papers by Alison Sparks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison Sparks. 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 Alison Sparks. The network helps show where Alison Sparks may publish in the future.

Co-authorship network of co-authors of Alison Sparks

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

All Works

18 of 18 papers shown
1.
Sparks, Alison, et al.. (2013). The degradation of p53 and its major E3 ligase Mdm2 is differentially dependent on the proteasomal ubiquitin receptor S5a. Oncogene. 33(38). 4685–4696. 40 indexed citations
2.
Allende-Vega, Nerea, et al.. (2012). p53 is activated in response to disruption of the pre-mRNA splicing machinery. Oncogene. 32(1). 1–14. 80 indexed citations
3.
Allende-Vega, Nerea, Alison Sparks, David P. Lane, & Mark K. Saville. (2009). MdmX is a substrate for the deubiquitinating enzyme USP2a. Oncogene. 29(3). 432–441. 87 indexed citations
4.
Sparks, Alison, et al.. (2008). Suppression of the Deubiquitinating Enzyme USP5 Causes the Accumulation of Unanchored Polyubiquitin and the Activation of p53. Journal of Biological Chemistry. 284(8). 5030–5041. 162 indexed citations
5.
Stevenson, Lauren, Alison Sparks, Nerea Allende-Vega, et al.. (2007). The deubiquitinating enzyme USP2a regulates the p53 pathway by targeting Mdm2. The EMBO Journal. 26(4). 976–986. 238 indexed citations
6.
Woods, Yvonne L., Dimitris P. Xirodimas, Alan R. Prescott, et al.. (2004). p14 Arf Promotes Small Ubiquitin-like Modifier Conjugation of Werners Helicase. Journal of Biological Chemistry. 279(48). 50157–50166. 48 indexed citations
7.
Saville, Mark K., Alison Sparks, Dimitris P. Xirodimas, et al.. (2004). Regulation of p53 by the Ubiquitin-conjugating Enzymes UbcH5B/C in Vivo. Journal of Biological Chemistry. 279(40). 42169–42181. 124 indexed citations
8.
Shreeram, Sathyavageeswaran, Alison Sparks, David P. Lane, & J. Julian Blow. (2002). Cell type-specific responses of human cells to inhibition of replication licensing. Oncogene. 21(43). 6624–6632. 145 indexed citations
9.
Chen, Hailan, David G. Fernig, Philip S. Rudland, et al.. (2001). Binding to Intracellular Targets of the Metastasis-Inducing Protein, S100A4 (p9Ka). Biochemical and Biophysical Research Communications. 286(5). 1212–1217. 75 indexed citations
10.
Midgley, Carol, Joana Desterro, Mark K. Saville, et al.. (2000). An N-terminal p14ARF peptide blocks Mdm2-dependent ubiquitination in vitro and can activate p53 in vivo. Oncogene. 19(19). 2312–2323. 212 indexed citations
11.
Ottaggio, Laura, Francesca Moro, Alison Sparks, et al.. (2000). Defective nuclear localization of p53 protein in a Chinese hamster cell line is associated with the formation of stable cytoplasmic protein multimers in cells with gene amplification. Carcinogenesis. 21(9). 1631–1638. 7 indexed citations
12.
Lane, David P., et al.. (2000). Drug discovery in the p53 pathway. Breast Cancer Research. 2(S1).
13.
Blattner, Christine, Alison Sparks, & David P. Lane. (1999). Transcription Factor E2F-1 Is Upregulated in Response to DNA Damage in a Manner Analogous to That of p53. Molecular and Cellular Biology. 19(5). 3704–3713. 184 indexed citations
14.
Laı́n, Sonia, Carol Midgley, Alison Sparks, E. Birgitte Lane, & David P. Lane. (1999). An Inhibitor of Nuclear Export Activates the p53 Response and Induces the Localization of HDM2 and p53 to U1A-Positive Nuclear Bodies Associated with the PODs. Experimental Cell Research. 248(2). 457–472. 120 indexed citations
15.
Böttger, Angelika, et al.. (1997). Design of a synthetic Mdm2-binding mini protein that activates the p53 response in vivo. Current Biology. 7(11). 860–869. 318 indexed citations
16.
Lane, David P., Charles W. Stephen, Alison Sparks, et al.. (1996). Epitope analysis of the murine p53 tumour suppressor protein.. PubMed. 12(11). 2461–6. 30 indexed citations
17.
Hupp, Ted R., Alison Sparks, & David P. Lane. (1995). Small peptides activate the latent sequence-specific DNA binding function of p53. Cell. 83(2). 237–245. 376 indexed citations
18.
Picksley, Steven M., B Vojtĕsek, Alison Sparks, & David P. Lane. (1994). Immunochemical analysis of the interaction of p53 with MDM2;--fine mapping of the MDM2 binding site on p53 using synthetic peptides.. PubMed. 9(9). 2523–9. 196 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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