Kevin Norris

539 total citations
11 papers, 158 citations indexed

About

Kevin Norris is a scholar working on Physiology, Genetics and Molecular Biology. According to data from OpenAlex, Kevin Norris has authored 11 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Kevin Norris's work include Telomeres, Telomerase, and Senescence (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). Kevin Norris is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). Kevin Norris collaborates with scholars based in United Kingdom, United States and Italy. Kevin Norris's co-authors include Duncan M. Baird, Kez Cleal, Chris Fegan, Chris Pepper, Julia W. Grimstead, Robert K. Hills, David Allsup, Thet Thet Lin, Lynn Cawkwell and Bethan Britt‐Compton and has published in prestigious journals such as International Journal of Molecular Sciences, Current Opinion in Genetics & Development and British Journal of Haematology.

In The Last Decade

Kevin Norris

9 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Norris United Kingdom 5 112 73 22 22 17 11 158
Brody Holohan United States 6 149 1.3× 182 2.5× 15 0.7× 5 0.2× 33 1.9× 7 307
M. Kirwan United Kingdom 5 213 1.9× 210 2.9× 28 1.3× 41 1.9× 17 1.0× 6 320
Gwladys Revêchon Sweden 10 72 0.6× 252 3.5× 13 0.6× 7 0.3× 30 1.8× 13 326
Michelle Ricketts United Kingdom 2 63 0.6× 199 2.7× 9 0.4× 6 0.3× 20 1.2× 3 299
Edwin Oole Netherlands 6 46 0.4× 119 1.6× 24 1.1× 22 1.0× 2 0.1× 8 222
Galina Glousker Switzerland 8 218 1.9× 250 3.4× 15 0.7× 8 0.4× 40 2.4× 10 325
Shirleny Cardoso United Kingdom 5 116 1.0× 179 2.5× 9 0.4× 19 0.9× 9 0.5× 5 271
Aishwarya Sundaresan United States 6 17 0.2× 187 2.6× 12 0.5× 4 0.2× 4 0.2× 7 237
Matteo Marchesini Italy 5 16 0.1× 98 1.3× 10 0.5× 50 2.3× 4 0.2× 14 170
Yukiko Hasumi Japan 3 46 0.4× 166 2.3× 2 0.1× 10 0.5× 3 0.2× 3 220

Countries citing papers authored by Kevin Norris

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Norris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Norris

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

All Works

11 of 11 papers shown
1.
Myers, Kasiani C., Stella M. Davies, Carolyn Lutzko, et al.. (2025). Clinical Use of ZSCAN4 for Telomere Elongation in Hematopoietic Stem Cells. NEJM Evidence. 4(3). EVIDoa2400252–EVIDoa2400252.
2.
Duckworth, Anna, Julia Prague, Kevin Norris, et al.. (2024). Starship: Study of Telomeres and Role of Sex Hormones in Pulmonary Fibrosis. ORCA Online Research @Cardiff (Cardiff University). A3695–A3695. 1 indexed citations
3.
Hulme, Charlotte, John Garcia, Claire Mennan, et al.. (2023). The Upscale Manufacture of Chondrocytes for Allogeneic Cartilage Therapies. Tissue Engineering Part C Methods. 29(9). 424–437. 5 indexed citations
4.
Norris, Kevin, Amanda J. Walne, Mark Ponsford, et al.. (2021). High-throughput STELA provides a rapid test for the diagnosis of telomere biology disorders. Human Genetics. 140(6). 945–955. 16 indexed citations
5.
Pepper, Andrea, Antonella Zucchetto, Kevin Norris, et al.. (2021). Combined analysis of IGHV mutations, telomere length and CD49d identifies long-term progression-free survivors in TP53 wild-type CLL treated with FCR-based therapies. Leukemia. 36(1). 271–274. 4 indexed citations
6.
Pepper, Chris, Kevin Norris, & Chris Fegan. (2020). Clinical utility of telomere length measurements in cancer. Current Opinion in Genetics & Development. 60. 107–111. 2 indexed citations
7.
Norris, Kevin, Peter Hillmen, Andy C. Rawstron, et al.. (2019). Telomere length predicts for outcome to FCR chemotherapy in CLL. Leukemia. 33(8). 1953–1963. 11 indexed citations
8.
Cleal, Kez, Kevin Norris, & Duncan M. Baird. (2018). Telomere Length Dynamics and the Evolution of Cancer Genome Architecture. International Journal of Molecular Sciences. 19(2). 482–482. 51 indexed citations
9.
Lin, Thet Thet, Kevin Norris, Nicole H. Heppel, et al.. (2014). Telomere dysfunction accurately predicts clinical outcome in chronic lymphocytic leukaemia, even in patients with early stage disease. British Journal of Haematology. 167(2). 214–223. 66 indexed citations
11.
Norris, Kevin, et al.. (2010). An accurate method for acquiring high resolution skin displacement maps. 1–1. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026