Danielle Newby

1.7k total citations
40 papers, 601 citations indexed

About

Danielle Newby is a scholar working on Psychiatry and Mental health, Oncology and Genetics. According to data from OpenAlex, Danielle Newby has authored 40 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 6 papers in Oncology and 6 papers in Genetics. Recurrent topics in Danielle Newby's work include Dementia and Cognitive Impairment Research (9 papers), Genetic Associations and Epidemiology (6 papers) and Computational Drug Discovery Methods (5 papers). Danielle Newby is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Genetic Associations and Epidemiology (6 papers) and Computational Drug Discovery Methods (5 papers). Danielle Newby collaborates with scholars based in United Kingdom, United States and Netherlands. Danielle Newby's co-authors include Alex A. Freitas, Taravat Ghafourian, Alejo Nevado‐Holgado, Laura Winchester, Marco Fernandes, Mina Fazel, Simon Lovestone, William Sproviero, Donald M. Lyall and Jonathan J. Evans and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Danielle Newby

38 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Newby United Kingdom 14 104 103 94 83 71 40 601
Benjamin Seligman United States 11 83 0.8× 82 0.8× 20 0.2× 36 0.4× 124 1.7× 28 814
Xurui Jin China 14 66 0.6× 88 0.9× 63 0.7× 80 1.0× 115 1.6× 30 718
Amir Abbas Tahami Monfared United States 16 249 2.4× 141 1.4× 53 0.6× 27 0.3× 273 3.8× 56 1.2k
Irene Looi Malaysia 17 56 0.5× 137 1.3× 59 0.6× 20 0.2× 97 1.4× 69 972
Richard Anziano United States 17 437 4.2× 288 2.8× 59 0.6× 21 0.3× 88 1.2× 27 1.3k
Mona Hersi Canada 10 96 0.9× 51 0.5× 14 0.1× 30 0.4× 108 1.5× 18 484
John C. O’Donnell United States 22 65 0.6× 378 3.7× 45 0.5× 86 1.0× 211 3.0× 76 1.7k
Vikram Singh Rawat India 12 147 1.4× 92 0.9× 75 0.8× 6 0.1× 24 0.3× 34 531
Chad Blackshear United States 17 38 0.4× 169 1.6× 13 0.1× 49 0.6× 157 2.2× 42 968
Qinying Zhao United States 17 165 1.6× 121 1.2× 105 1.1× 7 0.1× 278 3.9× 45 765

Countries citing papers authored by Danielle Newby

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Newby

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Newby. A scholar is included among the top collaborators of Danielle Newby 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 Danielle Newby. Danielle Newby 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.
Guarner‐Argente, Carlos, Eng Hooi Tan, Asieh Golozar, et al.. (2025). Incidence and Survival of Colorectal Cancer in the United Kingdom From 2000 to 2021: A Population-Based Cohort Study. The American Journal of Gastroenterology. 120(12). 2909–2917. 1 indexed citations
2.
Winchester, Laura, Danielle Newby, Peifeng Hu, et al.. (2025). The relationship between anaemia, haemoglobin levels, and cognitive function: Evidence in two population-based cohorts from India and the United States. Neurobiology of Disease. 216. 107112–107112.
3.
Xie, Junqing, Danielle Newby, Clara Prats, et al.. (2024). Effect of genetically predicted sclerostin on cardiovascular biomarkers, risk factors, and disease outcomes. Nature Communications. 15(1). 9832–9832. 4 indexed citations
4.
Reyes, Carlen, Danielle Newby, Berta Raventós, et al.. (2024). Trends of use and characterisation of anti-dementia drugs users: a large multinational-network population-based study. Age and Ageing. 53(5). 1 indexed citations
5.
Pavarini, Gabriela, et al.. (2024). Tracing Tomorrow: young people’s preferences and values related to use of personal sensing to predict mental health, using a digital game methodology. SHILAP Revista de lepidopterología. 27(1). e300897–e300897. 1 indexed citations
6.
Tan, Eng Hooi, Edward Burn, Nicola L. Barclay, et al.. (2024). Incidence, Prevalence, and Survival of Prostate Cancer in the UK. JAMA Network Open. 7(9). e2434622–e2434622. 6 indexed citations
7.
Sproviero, William, Laura Winchester, Najaf Amin, et al.. (2024). Genome-wide association neural networks identify genes linked to family history of Alzheimer’s disease. Briefings in Bioinformatics. 26(1). 1 indexed citations
8.
Newby, Danielle, et al.. (2024). Optimising the use of electronic medical records for large scale research in psychiatry. Translational Psychiatry. 14(1). 232–232. 3 indexed citations
9.
Barclay, Nicola L., Martí Català, Annika M. Jödicke, et al.. (2024). Collateral effects of the COVID-19 pandemic on endocrine treatments for breast and prostate cancer in the UK: a cohort study. Therapeutic Advances in Medical Oncology. 16. 12697851–12697851.
10.
Barclay, Nicola L., Eng Hooi Tan, Edward Burn, et al.. (2024). Incidence, prevalence, and survival of lung cancer in the United Kingdom from 2000–2021: a population-based cohort study. Translational Lung Cancer Research. 13(9). 2187–2201. 4 indexed citations
11.
Anatürk, Melis, Raihaan Patel, Klaus P. Ebmeier, et al.. (2023). Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts. SHILAP Revista de lepidopterología. 26(1). e300719–e300719. 21 indexed citations
12.
Raventós, Berta, Martí Català, Yuchen Guo, et al.. (2023). IncidencePrevalence: An R package to calculate population‐level incidence rates and prevalence using theOMOPcommon data model. Pharmacoepidemiology and Drug Safety. 33(1). e5717–e5717. 8 indexed citations
13.
Ranson, Janice M., Magda Bucholc, Donald M. Lyall, et al.. (2023). Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics. 10(1). 6–6. 12 indexed citations
14.
Xie, Junqing, Yuliang Feng, Danielle Newby, et al.. (2023). Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection. Nature Communications. 14(1). 4659–4659. 4 indexed citations
15.
Newby, Danielle, Marco Fernandes, Yasmina Molero, et al.. (2022). Comparative effect of metformin versus sulfonylureas with dementia and Parkinson’s disease risk in US patients over 50 with type 2 diabetes mellitus. BMJ Open Diabetes Research & Care. 10(5). e003036–e003036. 28 indexed citations
16.
Li, Zhenpeng, Andrey Kormilitzin, Marco Fernandes, et al.. (2022). Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records. International Journal of Medical Informatics. 160. 104704–104704. 13 indexed citations
17.
Newby, Danielle & Victoria Garfield. (2022). Understanding the inter‐relationships of type 2 diabetes and hypertension with brain and cognitive health: A UK Biobank study. Diabetes Obesity and Metabolism. 24(5). 938–947. 8 indexed citations
18.
Anatürk, Melis, Raihaan Patel, Danielle Newby, et al.. (2021). Development and external validation of a novel dementia risk prediction score in the UK Biobank cohort. Alzheimer s & Dementia. 17(S10). 1 indexed citations
19.
Cullen, Breda, Danielle Newby, Duncan Lee, et al.. (2018). Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank. Scientific Reports. 8(1). 12089–12089. 62 indexed citations
20.
Westwood, Sarah, Alison L. Baird, Sneha Anand, et al.. (2017). The influence of insulin resistance on cerebrospinal fluid and plasma biomarkers of Alzheimer’s pathology. Alzheimer s Research & Therapy. 9(1). 31–31. 29 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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