Philip Law

3.8k total citations
31 papers, 718 citations indexed

About

Philip Law is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Philip Law has authored 31 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Genetics and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Philip Law's work include Genetic Associations and Epidemiology (11 papers), Epigenetics and DNA Methylation (8 papers) and Genetic factors in colorectal cancer (8 papers). Philip Law is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Epigenetics and DNA Methylation (8 papers) and Genetic factors in colorectal cancer (8 papers). Philip Law collaborates with scholars based in United Kingdom, United States and Sweden. Philip Law's co-authors include Richard S. Houlston, Alex J. Cornish, Daniel Chubb, Ian Tomlinson, Kevin Litchfield, Malcolm G. Dunlop, Ben Kinnersley, Sara E. Dobbins, Maria Timofeeva and Peter Broderick and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Philip Law

30 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Law United Kingdom 15 323 183 182 161 140 31 718
Simon Schneider Germany 19 456 1.4× 100 0.5× 86 0.5× 109 0.7× 89 0.6× 42 907
Anthoula Chatzikyriakidou Greece 13 244 0.8× 68 0.4× 86 0.5× 87 0.5× 210 1.5× 40 780
E. Patsouris Greece 15 186 0.6× 186 1.0× 135 0.7× 63 0.4× 76 0.5× 50 719
Motoaki Chin Japan 16 218 0.7× 86 0.5× 82 0.5× 53 0.3× 55 0.4× 43 540
Luca Járomi Hungary 14 236 0.7× 144 0.8× 83 0.5× 127 0.8× 72 0.5× 33 722
Qiu Qin China 17 247 0.8× 77 0.4× 104 0.6× 158 1.0× 128 0.9× 45 753
Sílvia Xargay‐Torrent Spain 15 395 1.2× 113 0.6× 144 0.8× 29 0.2× 52 0.4× 36 705
Eleanor V. Willett United Kingdom 14 281 0.9× 331 1.8× 408 2.2× 56 0.3× 90 0.6× 22 1.0k
Kara Doffek United States 15 245 0.8× 288 1.6× 111 0.6× 138 0.9× 133 0.9× 38 868

Countries citing papers authored by Philip Law

Since Specialization
Citations

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

Fields of papers citing papers by Philip Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Law

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Law. A scholar is included among the top collaborators of Philip Law 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 Philip Law. Philip Law 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.
Went, Molly, Philip Law, Ines Gockel, et al.. (2025). Mendelian randomisation analysis to discover plasma metabolites mediating the effect of obesity on cancer risk. British Journal of Cancer. 133(9). 1344–1353.
2.
Jiang, Fangyuan, Jianhui Zhao, Jing Sun, et al.. (2024). Impact of ambient air pollution on colorectal cancer risk and survival: insights from a prospective cohort and epigenetic Mendelian randomization study. EBioMedicine. 103. 105126–105126. 28 indexed citations
3.
Went, Molly, Amit Sud, Philip Law, et al.. (2024). Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers. Nature Communications. 15(1). 2637–2637. 11 indexed citations
4.
Law, Philip, James B. Studd, James S. Smith, et al.. (2024). Systematic prioritization of functional variants and effector genes underlying colorectal cancer risk. Nature Genetics. 56(10). 2104–2111. 1 indexed citations
5.
Zhou, Xuan, Qian Xiao, Fangyuan Jiang, et al.. (2023). Dissecting the pathogenic effects of smoking and its hallmarks in blood DNA methylation on colorectal cancer risk. British Journal of Cancer. 129(8). 1306–1313. 14 indexed citations
6.
Zhou, Xuan, Shuai Yuan, Lijuan Wang, et al.. (2023). Exploring the Complex Relationship between Gut Microbiota and Risk of Colorectal Neoplasia Using Bidirectional Mendelian Randomization Analysis. Cancer Epidemiology Biomarkers & Prevention. 32(6). 809–817. 6 indexed citations
7.
Went, Molly, Phuc H. Hoang, Philip Law, Martin Kaiser, & Richard S. Houlston. (2022). Exploiting gene dependency to inform drug development for multiple myeloma. Scientific Reports. 12(1). 12696–12696. 2 indexed citations
8.
Studd, James B., Alex J. Cornish, Phuc H. Hoang, et al.. (2021). Cancer drivers and clonal dynamics in acute lymphoblastic leukaemia subtypes. Blood Cancer Journal. 11(11). 177–177. 5 indexed citations
9.
Li, Xue, Yazhou He, Philip Law, et al.. (2021). Phenome-wide association study (PheWAS) of colorectal cancer risk SNP effects on health outcomes in UK Biobank. British Journal of Cancer. 126(5). 822–830. 7 indexed citations
10.
Cornish, Alex J., Philip Law, Susan M. Farrington, et al.. (2021). Lack of an association between gallstone disease and bilirubin levels with risk of colorectal cancer: a Mendelian randomisation analysis. British Journal of Cancer. 124(6). 1169–1174. 7 indexed citations
11.
Zhang, Xiaomeng, Evropi Τheodoratou, Xue Li, et al.. (2021). Genetically predicted physical activity levels are associated with lower colorectal cancer risk: a Mendelian randomisation study. British Journal of Cancer. 124(7). 1330–1338. 24 indexed citations
12.
Went, Molly, Alex J. Cornish, Philip Law, et al.. (2020). Search for multiple myeloma risk factors using Mendelian randomization. Blood Advances. 4(10). 2172–2179. 26 indexed citations
13.
Cornish, Alex J., Ben Kinnersley, Philip Law, et al.. (2020). Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study. British Journal of Cancer. 124(2). 447–454. 9 indexed citations
14.
Maughan, Tim, Richard Kaplan, Philip Law, et al.. (2019). Comprehensive analysis of colorectal cancer-risk loci and survival outcome: A prognostic role for CDH1 variants. European Journal of Cancer. 124. 56–63. 6 indexed citations
15.
Cornish, Alex J., Philip Law, Maria Timofeeva, et al.. (2019). Modifiable pathways for colorectal cancer: a mendelian randomisation analysis. ˜The œLancet. Gastroenterology & hepatology. 5(1). 55–62. 79 indexed citations
16.
Law, Philip & Richard S. Houlston. (2019). Genetic predisposition to chronic lymphocytic leukemia. HemaSphere. 3(S2). 37–39. 3 indexed citations
17.
Orlando, Giulia, Philip Law, Alex J. Cornish, et al.. (2018). Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer. Nature Genetics. 50(10). 1375–1380. 42 indexed citations
18.
Hoang, Phuc H., Sara E. Dobbins, Alex J. Cornish, et al.. (2018). Whole-genome sequencing of multiple myeloma reveals oncogenic pathways are targeted somatically through multiple mechanisms. Leukemia. 32(11). 2459–2470. 62 indexed citations
19.
Frampton, Matthew, Philip Law, Kevin Litchfield, et al.. (2015). Implications of polygenic risk for personalised colorectal cancer screening. Annals of Oncology. 27(3). 429–434. 51 indexed citations
20.
Law, Philip, et al.. (2008). MADIBA: A web server toolkit for biological interpretation of Plasmodium and plant gene clusters. BMC Genomics. 9(1). 105–105. 18 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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