Diane J. Berry

7.5k total citations
17 papers, 1.3k citations indexed

About

Diane J. Berry is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Diane J. Berry has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Genetics. Recurrent topics in Diane J. Berry's work include Vitamin D Research Studies (12 papers), Climate Change and Health Impacts (3 papers) and Nutrition, Genetics, and Disease (3 papers). Diane J. Berry is often cited by papers focused on Vitamin D Research Studies (12 papers), Climate Change and Health Impacts (3 papers) and Nutrition, Genetics, and Disease (3 papers). Diane J. Berry collaborates with scholars based in United Kingdom, Australia and India. Diane J. Berry's co-authors include Elina Hyppönen, Chris Power, Barbara J. Boucher, Christopher Power, Kathryn R. Hesketh, Matthias Wjst, Mario Cortina‐Borja, Tessa J. Parsons, K Atherton and Karani S. Vimaleswaran and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Diabetes.

In The Last Decade

Diane J. Berry

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane J. Berry United Kingdom 13 941 374 331 256 149 17 1.3k
Kumaravel Rajakumar United States 18 799 0.8× 408 1.1× 176 0.5× 345 1.3× 179 1.2× 28 1.2k
Hataikarn Nimitphong Thailand 19 597 0.6× 249 0.7× 334 1.0× 148 0.6× 163 1.1× 58 1.2k
Stefan Neuwersch-Sommeregger Austria 9 684 0.7× 273 0.7× 152 0.5× 192 0.8× 109 0.7× 30 1.2k
Martin Healy Ireland 23 773 0.8× 245 0.7× 251 0.8× 211 0.8× 149 1.0× 72 1.3k
Inez Schoenmakers United Kingdom 23 1.1k 1.2× 449 1.2× 284 0.9× 376 1.5× 484 3.2× 48 1.8k
A. L. Darling United Kingdom 18 540 0.6× 230 0.6× 351 1.1× 262 1.0× 300 2.0× 45 1.2k
Moira Strand Hutchinson Norway 12 762 0.8× 334 0.9× 179 0.5× 218 0.9× 186 1.2× 14 895
Kaye Brock Australia 17 585 0.6× 285 0.8× 211 0.6× 303 1.2× 140 0.9× 46 1.1k
Şükrü Hatun Türkiye 19 515 0.5× 283 0.8× 139 0.4× 283 1.1× 112 0.8× 92 1.3k
Markus Köstenberger Austria 7 682 0.7× 276 0.7× 122 0.4× 183 0.7× 108 0.7× 25 1.0k

Countries citing papers authored by Diane J. Berry

Since Specialization
Citations

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

Fields of papers citing papers by Diane J. Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane J. Berry. 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 Diane J. Berry. The network helps show where Diane J. Berry may publish in the future.

Co-authorship network of co-authors of Diane J. Berry

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

All Works

17 of 17 papers shown
1.
Berry, Diane J., et al.. (2024). Optimizing regulatory frameworks for gene therapies in rare diseases: Challenges and solutions. Molecular Therapy — Methods & Clinical Development. 32(4). 101386–101386. 3 indexed citations
2.
Hyppönen, Elina, David Carslake, Diane J. Berry, Chris Power, & George Davey Smith. (2021). Estimating the influence of body mass index (BMI) on mortality using offspring BMI as an instrumental variable. International Journal of Obesity. 46(1). 77–84. 5 indexed citations
3.
Berry, Diane J., John Dutton, William D. Fraser, Marjo‐Riitta Järvelin, & Elina Hyppönen. (2016). Harmonization Study Between LCMS/MS and Diasorin RIA for Measurement of 25‐Hydroxyvitamin D Concentrations in a Large Population Survey. Journal of Clinical Laboratory Analysis. 31(3). 14 indexed citations
4.
Vimaleswaran, Karani S., Alana Cavadino, Diane J. Berry, et al.. (2014). Interaction between allelic variations in vitamin D receptor and retinoid X receptor genes on metabolic traits. BMC Genetics. 15(1). 37–37. 13 indexed citations
5.
Berry, Diane J., Elina Hyppönen, & Mario Cortina‐Borja. (2013). Investigating the association of vitamin D seasonality on inflammatory and hemostatic markers. Chronobiology International. 30(6). 786–795. 4 indexed citations
6.
Vimaleswaran, Karani S., Alana Cavadino, Diane J. Berry, et al.. (2013). Genetic association analysis of vitamin D pathway with obesity traits. International Journal of Obesity. 37(10). 1399–1406. 34 indexed citations
7.
Maddock, Jane, Diane J. Berry, Marie‐Claude Geoffroy, Chris Power, & Elina Hyppönen. (2013). Vitamin D and common mental disorders in mid-life: Cross-sectional and prospective findings. Clinical Nutrition. 32(5). 758–764. 46 indexed citations
8.
Berry, Diane J., Karani S. Vimaleswaran, John C. Whittaker, Aroon D. Hingorani, & Elina Hyppönen. (2012). Evaluation of Genetic Markers as Instruments for Mendelian Randomization Studies on Vitamin D. PLoS ONE. 7(5). e37465–e37465. 63 indexed citations
9.
Berry, Diane J., Kathryn R. Hesketh, Chris Power, & Elina Hyppönen. (2011). Vitamin D status has a linear association with seasonal infections and lung function in British adults. British Journal Of Nutrition. 106(9). 1433–1440. 207 indexed citations
10.
Berry, Diane J., et al.. (2011). Working patterns and vitamin D status in mid-life: a cross-sectional study of the 1958 British birth cohort. Occupational and Environmental Medicine. 68(12). 902–907. 30 indexed citations
11.
Berry, Diane J. & Elina Hyppönen. (2011). Determinants of vitamin D status: focus on genetic variations. Current Opinion in Nephrology & Hypertension. 20(4). 331–336. 73 indexed citations
12.
Hyppönen, Elina, Diane J. Berry, Mario Cortina‐Borja, & Chris Power. (2010). 25-Hydroxyvitamin D and Pre-Clinical Alterations in Inflammatory and Hemostatic Markers: A Cross Sectional Analysis in the 1958 British Birth Cohort. PLoS ONE. 5(5). e10801–e10801. 75 indexed citations
13.
Cooper, Rachel, Elina Hyppönen, Diane J. Berry, & Chris Power. (2010). Associations between parental and offspring adiposity up to midlife: the contribution of adult lifestyle factors in the 1958 British Birth Cohort Study. American Journal of Clinical Nutrition. 92(4). 946–953. 65 indexed citations
14.
Hyppönen, Elina, Diane J. Berry, Matthias Wjst, & Christopher Power. (2009). Serum 25‐hydroxyvitamin D and IgE – a significant but nonlinear relationship. Allergy. 64(4). 613–620. 195 indexed citations
15.
Berry, Diane J.. (2009). R Programming for Bioinformatics. Journal of the Royal Statistical Society Series A (Statistics in Society). 172(3). 696–696. 6 indexed citations
16.
Atherton, K, Diane J. Berry, Tessa J. Parsons, et al.. (2008). Vitamin D and chronic widespread pain in a white middle-aged British population: evidence from a cross-sectional population survey. Annals of the Rheumatic Diseases. 68(6). 817–822. 116 indexed citations
17.
Hyppönen, Elina, Barbara J. Boucher, Diane J. Berry, & Chris Power. (2007). 25-Hydroxyvitamin D, IGF-1, and Metabolic Syndrome at 45 Years of Age. Diabetes. 57(2). 298–305. 324 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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