John P. Kemp

19.2k total citations · 1 hit paper
47 papers, 2.0k citations indexed

About

John P. Kemp is a scholar working on Genetics, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, John P. Kemp has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 16 papers in Molecular Biology and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in John P. Kemp's work include Genetic Associations and Epidemiology (17 papers), Bone health and osteoporosis research (7 papers) and Birth, Development, and Health (5 papers). John P. Kemp is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Bone health and osteoporosis research (7 papers) and Birth, Development, and Health (5 papers). John P. Kemp collaborates with scholars based in United Kingdom, Australia and United States. John P. Kemp's co-authors include David M. Evans, George Davey Smith, Beaté St Pourcain, Nicholas J. Timpson, Lavinia Paternoster, Susan M. Ring, Nicole M. Warrington, George McMahon, Jonathan H. Tobias and Jie Zheng and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

John P. Kemp

45 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

2016 406 citations John P. Kemp, Gibran Hemani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John P. Kemp United Kingdom	26	871	592	210	178	165	47	2.0k
Marlies de Lange United Kingdom	18	676 0.8×	437 0.7×	206 1.0×	245 1.4×	230 1.4×	21	2.5k
Sara L. Pulit Netherlands	16	703 0.8×	641 1.1×	237 1.1×	211 1.2×	69 0.4×	28	1.9k
John R. Shaffer United States	30	689 0.8×	647 1.1×	81 0.4×	294 1.7×	70 0.4×	115	2.6k
Lavinia Paternoster United Kingdom	25	998 1.1×	522 0.9×	259 1.2×	462 2.6×	44 0.3×	73	2.4k
Berthold P. Hauffa Germany	26	633 0.7×	825 1.4×	119 0.6×	90 0.5×	59 0.4×	73	2.0k
Verneri Anttila United States	18	1.9k 2.1×	764 1.3×	301 1.4×	361 2.0×	211 1.3×	30	3.2k
John I. Numberger United States	4	481 0.6×	656 1.1×	229 1.1×	193 1.1×	127 0.8×	5	2.2k
Erdogan Taskesen Netherlands	14	1.1k 1.2×	1.3k 2.1×	247 1.2×	223 1.3×	115 0.7×	20	2.8k
Sylvie Brailly‐Tabard France	34	708 0.8×	900 1.5×	132 0.6×	80 0.4×	152 0.9×	87	3.1k
Francesco De Luca United States	30	572 0.7×	1.3k 2.2×	154 0.7×	323 1.8×	63 0.4×	100	3.1k

Countries citing papers authored by John P. Kemp

Since Specialization

Citations

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

Fields of papers citing papers by John P. Kemp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Kemp. 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 John P. Kemp. The network helps show where John P. Kemp may publish in the future.

Co-authorship network of co-authors of John P. Kemp

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

All Works

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20 of 20 papers shown

Tobias, Jonathan H., Maria Nethander, Benjamin G Faber, et al.. (2024). Femoral neck width genetic risk score is a novel independent risk factor for hip fractures. Journal of Bone and Mineral Research. 39(3). 241–251. 4 indexed citations

Faber, Benjamin G, Monika Frysz, Huandong Lin, et al.. (2024). The genetic architecture of hip shape and its role in the development of hip osteoarthritis and fracture. Human Molecular Genetics. 34(3). 207–217. 3 indexed citations

Faber, Benjamin G, Monika Frysz, April Hartley, et al.. (2023). A Genome‐Wide Association Study Meta‐Analysis of Alpha Angle Suggests Cam‐Type Morphology May Be a Specific Feature of Hip Osteoarthritis in Older Adults. Arthritis & Rheumatology. 75(6). 900–909. 8 indexed citations

Loh, Nellie Y., James E. N. Minchin, Katherine E. Pinnick, et al.. (2020). RSPO3 impacts body fat distribution and regulates adipose cell biology in vitro. Nature Communications. 11(1). 2797–2797. 39 indexed citations

Laurent, Lætitia, Sirui Zhou, Vincenzo Forgetta, et al.. (2019). Identification and Validation of Targets for Osteoporosis: Evidence from Whole exome Sequencing in 42,263 individuals, CRISPR-Cas9 and murine models. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations

Kemp, John P., Carolina Medina‐Gómez, Jonathan H. Tobias, Fernando Rivadeneira, & David M. Evans. (2016). The case for genome-wide association studies of bone acquisition in paediatric and adolescent populations. BoneKEy Reports. 5. 796–796. 8 indexed citations

Kemp, John P., Adrian Sayers, George Davey Smith, Jonathan H. Tobias, & David M. Evans. (2016). Using Mendelian randomization to investigate a possible causal relationship between adiposity and increased bone mineral density at different skeletal sites in children. International Journal of Epidemiology. 45(5). 1560–1572. 43 indexed citations

Gilbert, Rebecca, Richard M. Martin, David M. Evans, et al.. (2015). Incorporating Known Genetic Variants Does Not Improve the Accuracy of PSA Testing to Identify High Risk Prostate Cancer on Biopsy. PLoS ONE. 10(10). e0136735–e0136735. 7 indexed citations

Warrington, Nicole M., Gu Zhu, Veronica Dy, et al.. (2015). Genome-wide association study of blood lead shows multiple associations near ALAD. Human Molecular Genetics. 24(13). 3871–3879. 25 indexed citations

10.

Knipe, Duleeka, David M. Evans, John P. Kemp, et al.. (2014). Genetic Variation in Prostate-Specific Antigen–Detected Prostate Cancer and the Effect of Control Selection on Genetic Association Studies. Cancer Epidemiology Biomarkers & Prevention. 23(7). 1356–1365. 25 indexed citations

11.

Kemp, John P., Carolina Medina‐Gómez, Nicole M. Warrington, et al.. (2014). Bivariate genetic association analysis of pediatric total-body DXA parameters identifies two novel genetic variants that jointly influence bone mineral content and bone area. Journal of Bone and Mineral Research. 29.

12.

Gilbert, Rebecca, Carolina Bonilla, Chris Metcalfe, et al.. (2014). Associations of vitamin D pathway genes with circulating 25-hydroxyvitamin-D, 1,25-dihydroxyvitamin-D, and prostate cancer: a nested case–control study. Cancer Causes & Control. 26(2). 205–218. 34 indexed citations

13.

Pourcain, Beaté St, Claire M. A. Haworth, Oliver S. P. Davis, et al.. (2014). Heritability and genome-wide analyses of problematic peer relationships during childhood and adolescence. Human Genetics. 134(6). 539–551. 12 indexed citations

14.

Bonilla, Carolina, Rebecca Gilbert, John P. Kemp, et al.. (2013). Using Genetic Proxies for Lifecourse Sun Exposure to Assess the Causal Relationship of Sun Exposure with Circulating Vitamin D and Prostate Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 22(4). 597–606. 20 indexed citations

15.

Evans, David M., Gu Zhu, Veronica Dy, et al.. (2013). Genome-wide association study identifies loci affecting blood copper, selenium and zinc. Human Molecular Genetics. 22(19). 3998–4006. 167 indexed citations

16.

Brandler, William M., Andrew P. Morris, David M. Evans, et al.. (2013). Common Variants in Left/Right Asymmetry Genes and Pathways Are Associated with Relative Hand Skill. PLoS Genetics. 9(9). e1003751–e1003751. 115 indexed citations

17.

Pourcain, Beaté St, Andrew Whitehouse, Wei Ang, et al.. (2013). Common variation contributes to the genetic architecture of social communication traits. Molecular Autism. 4(1). 34–34. 29 indexed citations

18.

Deere, Kevin, Adrian Sayers, Heli Viljakainen, et al.. (2013). Distinct Relationships of Intramuscular and Subcutaneous Fat With Cortical Bone: Findings From a Cross-Sectional Study of Young Adult Males and Females. The Journal of Clinical Endocrinology & Metabolism. 98(6). E1041–E1049. 14 indexed citations

19.

Paternoster, Lavinia, Alexei I. Zhurov, Arshed Toma, et al.. (2012). Genome-wide Association Study of Three-Dimensional Facial Morphology Identifies a Variant in PAX3 Associated with Nasion Position. The American Journal of Human Genetics. 90(3). 478–485. 129 indexed citations

20.

Paternoster, Lavinia, Laura D Howe, Kate Tilling, et al.. (2011). Adult height variants affect birth length and growth rate in children. Human Molecular Genetics. 20(20). 4069–4075. 35 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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