Kate E. Williamson

905 total citations
30 papers, 730 citations indexed

About

Kate E. Williamson is a scholar working on Molecular Biology, Surgery and Biotechnology. According to data from OpenAlex, Kate E. Williamson has authored 30 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Biotechnology. Recurrent topics in Kate E. Williamson's work include Bladder and Urothelial Cancer Treatments (10 papers), Cancer Research and Treatments (9 papers) and Genetic factors in colorectal cancer (5 papers). Kate E. Williamson is often cited by papers focused on Bladder and Urothelial Cancer Treatments (10 papers), Cancer Research and Treatments (9 papers) and Genetic factors in colorectal cancer (5 papers). Kate E. Williamson collaborates with scholars based in United Kingdom, Ireland and Canada. Kate E. Williamson's co-authors include Samuel Johnston, Brian Duggan, Chris Watson, Peter W. Hamilton, Neil McClure, Jean Théberge, Sheena Lewis, Rahul Manchanda, William Pavlosky and Peter Williamson and has published in prestigious journals such as PLoS ONE, Cancer and The British Journal of Psychiatry.

In The Last Decade

Kate E. Williamson

30 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate E. Williamson United Kingdom 15 309 207 112 106 89 30 730
D.L. Guernsey Canada 12 349 1.1× 159 0.8× 82 0.7× 68 0.6× 56 0.6× 22 702
P E Schwartz United States 14 364 1.2× 91 0.4× 139 1.2× 58 0.5× 87 1.0× 21 879
Baltazar Barrera‐Mera Mexico 10 123 0.4× 57 0.3× 159 1.4× 28 0.3× 64 0.7× 39 554
Joseph G. Vockley United States 19 730 2.4× 52 0.3× 71 0.6× 19 0.2× 199 2.2× 31 1.4k
Haifeng Deng China 15 316 1.0× 139 0.7× 248 2.2× 17 0.2× 170 1.9× 33 779
Mari T. Minowa Japan 15 789 2.6× 112 0.5× 44 0.4× 56 0.5× 29 0.3× 18 947
Zhou Jiang China 14 302 1.0× 18 0.1× 57 0.5× 85 0.8× 41 0.5× 43 663
Bruce R. Lester United States 15 293 0.9× 66 0.3× 96 0.9× 44 0.4× 66 0.7× 28 603
Koichiro Omori Japan 18 675 2.2× 77 0.4× 48 0.4× 90 0.8× 35 0.4× 45 1.0k

Countries citing papers authored by Kate E. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Kate E. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate E. Williamson. 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 Kate E. Williamson. The network helps show where Kate E. Williamson may publish in the future.

Co-authorship network of co-authors of Kate E. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Kate E. Williamson. A scholar is included among the top collaborators of Kate E. Williamson 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 Kate E. Williamson. Kate E. Williamson 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
2.
Simoes, Ricardo De Matos, Sabine Dalleau, Kate E. Williamson, & Frank Emmert‐Streib. (2015). Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data. BMC Systems Biology. 9(1). 21–21. 10 indexed citations
3.
Emmert‐Streib, Frank, Ricardo De Matos Simoes, Brian Duggan, et al.. (2013). Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data. BMC Medicine. 11(1). 12–12. 11 indexed citations
4.
Wang, Yinhai, Kate E. Williamson, Paul J. Kelly, Jacqueline A. James, & Peter W. Hamilton. (2012). SurfaceSlide: A Multitouch Digital Pathology Platform. PLoS ONE. 7(1). e30783–e30783. 20 indexed citations
5.
Stevenson, Michael, et al.. (2012). Standardization of Diagnostic Biomarker Concentrations in Urine: The Hematuria Caveat. PLoS ONE. 7(12). e53354–e53354. 24 indexed citations
6.
Ruddock, Mark W., Michael Stevenson, Joe M. O’Sullivan, et al.. (2011). The impact of biomarkers in multivariate algorithms for bladder cancer diagnosis in patients with hematuria. Cancer. 118(10). 2641–2650. 35 indexed citations
7.
Koo, Vincent, et al.. (2009). pcDNA3.1tdTomato Is Superior to pDsRed2-N1 for Optical Fluorescence Imaging in the F344/AY-27 Rat Model of Bladder Cancer. Molecular Imaging and Biology. 12(5). 509–519. 1 indexed citations
8.
Théberge, Jean, Kate E. Williamson, Dick Drost, et al.. (2007). Longitudinal grey-matter and glutamatergic losses in first-episode schizophrenia. The British Journal of Psychiatry. 191(4). 325–334. 149 indexed citations
9.
Watson, Chris, Samuel Johnston, István Peták, et al.. (2006). Targeting Death Receptors in Bladder, Prostate and Renal Cancer. The Journal of Urology. 175(2). 432–438. 47 indexed citations
10.
Johnston, Samuel, et al.. (2005). Antisense oligonucleotides in the treatment of bladder cancer. Expert Opinion on Biological Therapy. 5(1). 67–77. 8 indexed citations
11.
Simmons, Pamela M., et al.. (2005). ECOLOGICAL INTERACTIONS WITHIN A LIZARD COMMUNITY ON GRENADA. Herpetologica. 61(2). 124–134. 17 indexed citations
12.
McVicar, Carmel, et al.. (2004). Incidence of Fas positivity and deoxyribonucleic acid double-stranded breaks in human ejaculated sperm. Fertility and Sterility. 81. 767–774. 56 indexed citations
13.
Duggan, Brian & Kate E. Williamson. (2004). Molecular markers for predicting recurrence, progression and outcomes of bladder cancer (do the poster boys need new posters?). Current Opinion in Urology. 14(5). 277–286. 23 indexed citations
14.
McEleny, Kevin, Colm Morrissey, Kate E. Williamson, et al.. (2003). An antisense oligonucleotide to cIAP‐1 sensitizes prostate cancer cells to fas and TNFα mediated apoptosis. The Prostate. 59(4). 419–425. 31 indexed citations
15.
Johnston, Samuel, et al.. (2002). The role of antisense oligonucleotides in the treatment of bladder cancer. Urological Research. 30(3). 137–147. 18 indexed citations
16.
Duggan, Brian, Finbarr E. Cotter, John D. Kelly, et al.. (2001). Antisense Bcl–2 Oligonucleotide Uptake in Human Transitional Cell Carcinoma. European Urology. 40(6). 685–695. 12 indexed citations
17.
Elkablawy, Mohamed A., Perry Maxwell, Kate E. Williamson, Neil Anderson, & Peter W. Hamilton. (2001). Apoptosis and cell-cycle regulatory proteins in colorectal carcinoma: relationship to tumour stage and patient survival. The Journal of Pathology. 194(4). 436–443. 28 indexed citations
18.
Duggan, Brian, Perry Maxwell, John D. Kelly, et al.. (2001). THE EFFECT OF ANTISENSE BCL-2 OLIGONUCLEOTIDES ON BCL-2 PROTEIN EXPRESSION AND APOPTOSIS IN HUMAN BLADDER TRANSITIONAL CELL CARCINOMA. The Journal of Urology. 166(3). 1098–1105. 41 indexed citations
19.
Ma, Qingyong, Kate E. Williamson, Declan O’Rourke, & Brian J. Rowlands. (1999). The Effects ofl-Arginine on Crypt Cell Hyperproliferation in Colorectal Cancer. Journal of Surgical Research. 81(2). 181–188. 21 indexed citations
20.
Williamson, Kate E., R. Gilliland, Peter Hamilton, et al.. (1994). Hydrochloric acid denaturation of colorectal tumour tissue infiltrated with bromodeoxyuridine. Cytometry. 15(2). 162–168. 12 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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