Kathryn Date

663 total citations
9 papers, 555 citations indexed

About

Kathryn Date is a scholar working on Oncology, Internal Medicine and Physiology. According to data from OpenAlex, Kathryn Date has authored 9 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Internal Medicine and 3 papers in Physiology. Recurrent topics in Kathryn Date's work include Venous Thromboembolism Diagnosis and Management (4 papers), Viral-associated cancers and disorders (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). Kathryn Date is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (4 papers), Viral-associated cancers and disorders (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). Kathryn Date collaborates with scholars based in United Kingdom, Australia and China. Kathryn Date's co-authors include John D. O’Neil, Lawrence S. Young, William O. Dawson, John R. Arrand, Thomas J. Owen, Robert Valentine, Anthony Maraveyas, Chunfang Hu, Jian‐Yong Shao and Camille Ettelaie and has published in prestigious journals such as Molecular Cancer, Journal of General Virology and Journal of Thrombosis and Haemostasis.

In The Last Decade

Kathryn Date

9 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathryn Date United Kingdom 6 237 221 133 82 82 9 555
Dominik A. Barth Austria 15 284 1.2× 222 1.0× 296 2.2× 26 0.3× 74 0.9× 36 600
Sofia Spyridonidou Greece 15 298 1.3× 232 1.0× 211 1.6× 16 0.2× 80 1.0× 31 663
CA Eekman Netherlands 8 384 1.6× 465 2.1× 96 0.7× 57 0.7× 41 0.5× 8 725
Shai Shimony Israel 16 260 1.1× 168 0.8× 70 0.5× 43 0.5× 78 1.0× 59 740
Keith F. Izban United States 14 282 1.2× 151 0.7× 92 0.7× 23 0.3× 141 1.7× 19 577
Xianghua Yi China 14 206 0.9× 236 1.1× 91 0.7× 13 0.2× 68 0.8× 64 700
Yixiang Mao China 15 350 1.5× 447 2.0× 259 1.9× 13 0.2× 141 1.7× 24 751
Darlene Gibbon United States 15 375 1.6× 325 1.5× 109 0.8× 8 0.1× 53 0.6× 38 834
Pranav Murthy United States 11 279 1.2× 237 1.1× 76 0.6× 20 0.2× 246 3.0× 23 704
Koichi Saruwatari Japan 12 333 1.4× 342 1.5× 110 0.8× 12 0.1× 66 0.8× 38 694

Countries citing papers authored by Kathryn Date

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Date

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Date. A scholar is included among the top collaborators of Kathryn Date 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 Kathryn Date. Kathryn Date 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.
Date, Kathryn, Bronwen Williams, Judith Cohen, et al.. (2023). Modified-release morphine or placebo for chronic breathlessness: the MABEL trial protocol. ERJ Open Research. 9(4). 167–2023. 4 indexed citations
2.
Bridgewater, Hannah E., Kathryn Date, John D. O’Neil, et al.. (2020). The Epstein-Barr Virus-Encoded EBNA1 Protein Activates the Bone Morphogenic Protein (BMP) Signalling Pathway to Promote Carcinoma Cell Migration. Pathogens. 9(7). 594–594. 6 indexed citations
3.
Greenfield, Robert S., et al.. (2018). Signal Transduction Peptide of Tissue Factor Phosphorylated at Ser258 and the Unphosphorylated STP in Urine Are Potential Biomarkers for Bladder Cancer. Clinical Genitourinary Cancer. 17(2). e247–e257. 4 indexed citations
4.
Hutchinson, Anne, Sophie Rees, Annie Young, et al.. (2018). Patient and carer experience of oral and injected anticoagulation for cancer-associated thrombosis: select-d trial qualitative sub-study. Thrombosis Research. 164. S206–S207. 1 indexed citations
6.
Date, Kathryn, Camille Ettelaie, & Anthony Maraveyas. (2017). Tissue factor‐bearing microparticles and inflammation: a potential mechanism for the development of venous thromboembolism in cancer. Journal of Thrombosis and Haemostasis. 15(12). 2289–2299. 61 indexed citations
7.
Date, Kathryn, et al.. (2012). Tumour and microparticle tissue factor expression and cancer thrombosis. Thrombosis Research. 131(2). 109–115. 42 indexed citations
8.
Valentine, Robert, William O. Dawson, Chunfang Hu, et al.. (2010). Epstein-Barr virus-encoded EBNA1 inhibits the canonical NF-κB pathway in carcinoma cells by inhibiting IKK phosphorylation. Molecular Cancer. 9(1). 1–1. 296 indexed citations
9.
O’Neil, John D., Thomas J. Owen, Victoria Wood, et al.. (2008). Epstein–Barr virus-encoded EBNA1 modulates the AP-1 transcription factor pathway in nasopharyngeal carcinoma cells and enhances angiogenesis in vitro. Journal of General Virology. 89(11). 2833–2842. 107 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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