Mark M. Iles

24.7k total citations
79 papers, 1.5k citations indexed

About

Mark M. Iles is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Mark M. Iles has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 22 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in Mark M. Iles's work include Genetic Associations and Epidemiology (32 papers), melanin and skin pigmentation (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Mark M. Iles is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), melanin and skin pigmentation (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Mark M. Iles collaborates with scholars based in United Kingdom, United States and Australia. Mark M. Iles's co-authors include Jennifer H. Barrett, D. Timothy Bishop, Matthew H. Law, Kevin Walters, C. Cannings, Karen A. Pooley, Stuart MacGregor, Alison M. Dunning, Julia Newton‐Bishop and Alistair S. Hall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Mark M. Iles

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark M. Iles United Kingdom 23 514 471 292 250 164 79 1.5k
Ann‐Catrin Andersson Sweden 16 1.0k 2.0× 239 0.5× 248 0.8× 301 1.2× 167 1.0× 21 2.1k
Qurratulain Hasan India 29 488 0.9× 262 0.6× 248 0.8× 294 1.2× 155 0.9× 108 2.0k
John D. Overton United States 23 829 1.6× 506 1.1× 255 0.9× 365 1.5× 67 0.4× 57 2.1k
Yuta Kochi Japan 32 588 1.1× 386 0.8× 418 1.4× 1.1k 4.3× 98 0.6× 67 2.6k
Chad Garner United States 27 1.1k 2.1× 615 1.3× 193 0.7× 161 0.6× 71 0.4× 62 2.7k
Dirk S. Paul United Kingdom 20 855 1.7× 731 1.6× 90 0.3× 216 0.9× 124 0.8× 34 2.0k
Mitchell J. Machiela United States 21 1.1k 2.1× 993 2.1× 324 1.1× 311 1.2× 122 0.7× 68 2.7k
Lori Steiner United States 22 284 0.6× 297 0.6× 108 0.4× 407 1.6× 82 0.5× 35 1.4k
Carlo Carcassi Italy 29 327 0.6× 340 0.7× 199 0.7× 1.1k 4.3× 81 0.5× 115 2.5k
Csaba Szalai Hungary 27 640 1.2× 245 0.5× 499 1.7× 780 3.1× 251 1.5× 93 2.3k

Countries citing papers authored by Mark M. Iles

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Iles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark M. Iles

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Iles. A scholar is included among the top collaborators of Mark M. Iles 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 Mark M. Iles. Mark M. Iles 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
1.
Potjer, Thomas P., Paola Del Bianco, Antonella Vecchiato, et al.. (2024). Polygenic Risk Score Improves Melanoma Risk Assessment in a Patient Cohort from the Veneto Region of Italy. Biology. 13(11). 954–954.
2.
Iles, Mark M., Harriet Larvin, D. Timothy Bishop, et al.. (2024). Genome-wide association studies on periodontitis: A systematic review. PLoS ONE. 19(9). e0306983–e0306983. 5 indexed citations
3.
Taylor, John, Dermot Burke, Lene Hjerrild Iversen, et al.. (2024). Minimally Invasive Surgery for Colorectal Cancer: Benchmarking Uptake for a Regional Improvement Programme. Clinical Colorectal Cancer. 23(4). 382–391.e1. 4 indexed citations
5.
Dusingize, Jean Claude, Matthew H. Law, Catherine M. Olsen, et al.. (2023). Genetic variants for smoking behaviour and risk of skin cancer. Scientific Reports. 13(1). 16873–16873. 2 indexed citations
6.
Iles, Mark M., et al.. (2022). Unique Metabolic Profiles Associate with Gestational Diabetes and Ethnicity in Low- and High-Risk Women Living in the UK. Journal of Nutrition. 152(10). 2186–2197. 9 indexed citations
7.
Iles, Mark M., et al.. (2022). Interplay between demographic, clinical and polygenic risk factors for severe COVID-19. International Journal of Epidemiology. 51(5). 1384–1395. 6 indexed citations
8.
Ossio, Raúl, Mark Harland, Karen A. Pooley, et al.. (2022). Population-based analysis of POT1 variants in a cutaneous melanoma case–control cohort. Journal of Medical Genetics. 60(7). 692–696. 11 indexed citations
9.
Moore, J. Bernadette, et al.. (2022). Ethnic-specific associations between dietary consumption and gestational diabetes mellitus incidence: A meta-analysis. SHILAP Revista de lepidopterología. 2(5). e0000250–e0000250. 6 indexed citations
10.
Arciero, Elena, Sufyan Abid Dogra, Daniel Malawsky, et al.. (2021). Fine-scale population structure and demographic history of British Pakistanis. Nature Communications. 12(1). 7189–7189. 14 indexed citations
11.
Steinberg, Julia, Mark M. Iles, Xiaochuan Wang, et al.. (2021). Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts*. British Journal of Dermatology. 186(5). 823–834. 12 indexed citations
12.
Dusingize, Jean Claude, Catherine M. Olsen, Jiyuan An, et al.. (2020). Body mass index and height and risk of cutaneous melanoma: Mendelian randomization analyses. International Journal of Epidemiology. 49(4). 1236–1245. 24 indexed citations
14.
Law, Matthew H., et al.. (2019). Is there a causal relationship between vitamin D and melanoma risk? A Mendelian randomization study. British Journal of Dermatology. 182(1). 97–103. 16 indexed citations
15.
Huertas‐Vázquez, Adriana, Christopher P. Nelson, Janet S. Sinsheimer, et al.. (2015). Cumulative effects of common genetic variants on risk of sudden cardiac death. IJC Heart & Vasculature. 7. 88–91. 8 indexed citations
16.
Liu, Hongliang, Li‐E Wang, Zhensheng Liu, et al.. (2013). Association between functional polymorphisms in genes involved in the MAPK signaling pathways and cutaneous melanoma risk. Carcinogenesis. 34(4). 885–892. 10 indexed citations
17.
Newton‐Bishop, Julia, Yu‐Mei Chang, Mark M. Iles, et al.. (2010). Melanocytic Nevi, Nevus Genes, and Melanoma Risk in a Large Case-Control Study in the United Kingdom. Cancer Epidemiology Biomarkers & Prevention. 19(8). 2043–2054. 70 indexed citations
18.
Brown, Benjamin, Jérémie Nsengimana, Jennifer H. Barrett, et al.. (2010). An evaluation of inflammatory gene polymorphisms in sibships discordant for premature coronary artery disease: the GRACE-IMMUNE study. BMC Medicine. 8(1). 5–5. 19 indexed citations
20.
Lench, Nicholas, Mark M. Iles, Ian Mackay, et al.. (2005). Single-Point Haplotype Scores Telomeric to Human Leukocyte Antigen-C Give a High Susceptibility Major Histocompatability Complex Haplotype for Psoriasis in a Caucasian Population. Journal of Investigative Dermatology. 124(3). 545–552. 11 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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