Victoria M. Longshaw

630 total citations
9 papers, 494 citations indexed

About

Victoria M. Longshaw is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Victoria M. Longshaw has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Victoria M. Longshaw's work include Heat shock proteins research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Victoria M. Longshaw is often cited by papers focused on Heat shock proteins research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Victoria M. Longshaw collaborates with scholars based in South Africa, United Kingdom and Germany. Victoria M. Longshaw's co-authors include Gregory L. Blatch, Odutayo O. Odunuga, Michael E. Cheetham, María S. Balda, J. Paul Chapple, Earl Prinsloo, Marina Prewitz, Csaba Sőti, Péter Csermely and M. Baxter and has published in prestigious journals such as Journal of Cell Science, BioEssays and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Victoria M. Longshaw

9 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria M. Longshaw South Africa 8 399 93 61 54 34 9 494
Giosalba Burgio Italy 11 459 1.2× 83 0.9× 56 0.9× 54 1.0× 33 1.0× 14 557
Emilie Frisan France 4 275 0.7× 68 0.7× 70 1.1× 22 0.4× 55 1.6× 5 459
Stine A. Mikkelsen Denmark 8 309 0.8× 78 0.8× 48 0.8× 53 1.0× 47 1.4× 9 409
Heather Sadlish United States 10 573 1.4× 134 1.4× 33 0.5× 31 0.6× 47 1.4× 14 724
Yan Han United States 15 641 1.6× 57 0.6× 76 1.2× 37 0.7× 49 1.4× 27 799
Moira V. Ellis United Kingdom 10 435 1.1× 216 2.3× 35 0.6× 32 0.6× 51 1.5× 16 606
Sabine Suppmann Germany 10 417 1.0× 53 0.6× 95 1.6× 34 0.6× 17 0.5× 15 636
Chen Cohen-Rosenzweig Israel 8 413 1.0× 134 1.4× 36 0.6× 53 1.0× 25 0.7× 8 512
Tim Gabriele Australia 5 483 1.2× 99 1.1× 38 0.6× 118 2.2× 37 1.1× 6 581
Joshua Holcomb United States 11 296 0.7× 29 0.3× 51 0.8× 37 0.7× 17 0.5× 22 481

Countries citing papers authored by Victoria M. Longshaw

Since Specialization
Citations

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

Fields of papers citing papers by Victoria M. Longshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria M. Longshaw

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

All Works

9 of 9 papers shown
1.
Prinsloo, Earl, et al.. (2009). Leukemia inhibitory factor promotes Hsp90 association with STAT3 in mouse embryonic stem cells. IUBMB Life. 62(1). 61–66. 21 indexed citations
2.
Prinsloo, Earl, et al.. (2009). Chaperoning stem cells: a role for heat shock proteins in the modulation of stem cell self‐renewal and differentiation?. BioEssays. 31(4). 370–377. 54 indexed citations
3.
Longshaw, Victoria M., et al.. (2009). The TPR2B Domain of the Hsp70/Hsp90 Organizing Protein (Hop) May Contribute Towards Its Dimerization. Protein and Peptide Letters. 16(4). 402–407. 4 indexed citations
4.
Longshaw, Victoria M., M. Baxter, Marina Prewitz, & Gregory L. Blatch. (2008). Knockdown of the co-chaperone Hop promotes extranuclear accumulation of Stat3 in mouse embryonic stem cells. European Journal of Cell Biology. 88(3). 153–166. 31 indexed citations
5.
Bradley, Graeme, et al.. (2008). Nuclear translocation of the phosphoprotein Hop (Hsp70/Hsp90 organizing protein) occurs under heat shock, and its proposed nuclear localization signal is involved in Hsp90 binding. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(6). 1003–1014. 48 indexed citations
6.
Arbuthnot, Patrick, et al.. (2006). Opportunities for treating chronic hepatitis B and C virus infection using RNA interference. Journal of Viral Hepatitis. 14(7). 447–459. 27 indexed citations
7.
Odunuga, Odutayo O., Victoria M. Longshaw, & Gregory L. Blatch. (2004). Hop: more than an Hsp70/Hsp90 adaptor protein. BioEssays. 26(10). 1058–1068. 180 indexed citations
8.
Longshaw, Victoria M., J. Paul Chapple, María S. Balda, Michael E. Cheetham, & Gregory L. Blatch. (2004). Nuclear translocation of the Hsp70/Hsp90 organizing protein mSTI1 is regulated by cell cycle kinases. Journal of Cell Science. 117(5). 701–710. 101 indexed citations
9.
Longshaw, Victoria M., et al.. (2000). The in Vitro Phosphorylation of the Co-Chaperone mSTI1 by Cell Cycle Kinases Substantiates a Predicted Casein Kinase II-p34cdc2-NLS (CcN) Motif. Biological Chemistry. 381(11). 1133–8. 28 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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