Danni A. Gadd

1.1k total citations · 1 hit paper
17 papers, 266 citations indexed

About

Danni A. Gadd is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Danni A. Gadd has authored 17 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Danni A. Gadd's work include Epigenetics and DNA Methylation (8 papers), Genetic Associations and Epidemiology (4 papers) and Chronic Disease Management Strategies (4 papers). Danni A. Gadd is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Genetic Associations and Epidemiology (4 papers) and Chronic Disease Management Strategies (4 papers). Danni A. Gadd collaborates with scholars based in United Kingdom, United States and Australia. Danni A. Gadd's co-authors include Riccardo E. Marioni, Robert F. Hillary, Daniel L. McCartney, Andrew M. McIntosh, Elena Bernabeu, Archie Campbell, Kathryn L. Evans, Lee Murphy, Nicola Wrobel and Caroline Hayward and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biological Psychiatry.

In The Last Decade

Danni A. Gadd

15 papers receiving 265 citations

Hit Papers

Refining epigenetic prediction of chronological and biolo... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danni A. Gadd United Kingdom 8 158 59 46 33 28 17 266
Elena Bernabeu United Kingdom 6 122 0.8× 35 0.6× 91 2.0× 22 0.7× 19 0.7× 9 248
Marjolein J. Peters Netherlands 6 107 0.7× 35 0.6× 51 1.1× 31 0.9× 13 0.5× 7 243
Lauren B. Wright United Kingdom 6 55 0.3× 33 0.6× 66 1.4× 32 1.0× 17 0.6× 9 337
Ahmad Vaez Netherlands 10 202 1.3× 42 0.7× 115 2.5× 112 3.4× 32 1.1× 19 401
Zhinan Ding China 8 201 1.3× 30 0.5× 13 0.3× 34 1.0× 12 0.4× 10 374
Mark Z. Kos United States 8 168 1.1× 23 0.4× 107 2.3× 44 1.3× 38 1.4× 14 273
Maria Mizamtsidi Greece 8 56 0.4× 29 0.5× 24 0.5× 30 0.9× 40 1.4× 16 308
Davide Castaldi Italy 9 188 1.2× 97 1.6× 58 1.3× 63 1.9× 36 1.3× 14 427
Charleen D. Adams United States 9 64 0.4× 41 0.7× 53 1.2× 20 0.6× 22 0.8× 23 211
Yiping Chen China 8 63 0.4× 20 0.3× 51 1.1× 12 0.4× 49 1.8× 13 278

Countries citing papers authored by Danni A. Gadd

Since Specialization
Citations

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

Fields of papers citing papers by Danni A. Gadd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danni A. Gadd. 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 Danni A. Gadd. The network helps show where Danni A. Gadd may publish in the future.

Co-authorship network of co-authors of Danni A. Gadd

This figure shows the co-authorship network connecting the top 25 collaborators of Danni A. Gadd. A scholar is included among the top collaborators of Danni A. Gadd 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 Danni A. Gadd. Danni A. Gadd 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.
McKinnon, K. I. M., Kadi Vaher, Robert F. Hillary, et al.. (2024). Epigenetic scores derived in saliva are associated with gestational age at birth. Clinical Epigenetics. 16(1). 84–84.
2.
Gadd, Danni A., Robert F. Hillary, Yipeng Cheng, et al.. (2024). Blood protein assessment of leading incident diseases and mortality in the UK Biobank. Nature Aging. 4(7). 939–948. 38 indexed citations
3.
Gadd, Danni A., Yipeng Cheng, Elena Bernabeu, et al.. (2024). Epigenetic Contributions to Clinical Risk Prediction of Cardiovascular Disease. Circulation Genomic and Precision Medicine. 17(1). e004265–e004265. 10 indexed citations
4.
Hillary, Robert F., Danni A. Gadd, Tin-Chi Lin, et al.. (2024). Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank. Nature Communications. 15(1). 7346–7346. 2 indexed citations
5.
Walker, Rosie M., Michael Chong, Nicolas Perrot, et al.. (2024). The circulating proteome and brain health: Mendelian randomisation and cross-sectional analyses. Translational Psychiatry. 14(1). 204–204. 7 indexed citations
6.
Welsh, Paul, Dorien M. Kimenai, Anoop Shah, et al.. (2023). Multiple Cardiac Biomarkers to Improve Prediction of Cardiovascular Events: Findings from the Generation Scotland Scottish Family Health Study. Clinical Chemistry. 70(2). 403–413. 6 indexed citations
7.
Hillary, Robert F., Daniel L. McCartney, Elena Bernabeu, et al.. (2023). Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals. PLoS Medicine. 20(7). e1004247–e1004247. 33 indexed citations
8.
Nabais, Marta F., Danni A. Gadd, Eilís Hannon, et al.. (2023). An overview of DNA methylation-derived trait score methods and applications. Genome biology. 24(1). 28–28. 23 indexed citations
9.
Bernabeu, Elena, Daniel L. McCartney, Danni A. Gadd, et al.. (2023). Refining epigenetic prediction of chronological and biological age. Genome Medicine. 15(1). 12–12. 65 indexed citations breakdown →
10.
Gadd, Danni A., et al.. (2023). Endogenous epitope tagging of eEF1A2 in mice reveals early embryonic expression of eEF1A2 and subcellular compartmentalisation of neuronal eEF1A1 and eEF1A2. Molecular and Cellular Neuroscience. 126. 103879–103879. 7 indexed citations
11.
Mullin, Donncha S., Danni A. Gadd, Michelle Luciano, Tom C. Russ, & Graciela Muñiz‐Terrera. (2023). TRAJECTORIES OF MOTORIC COGNITIVE RISK SYNDROME AND INCIDENT DEMENTIA IN SCOTLAND. Innovation in Aging. 7(Supplement_1). 857–857.
12.
Shen, Xueyi, Danni A. Gadd, Elena Bernabeu, et al.. (2023). Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids. Biological Psychiatry. 94(8). 630–639. 32 indexed citations
13.
Mullin, Donncha S., Danni A. Gadd, Tom C. Russ, Michelle Luciano, & Graciela Muñiz‐Terrera. (2023). Motoric cognitive risk syndrome trajectories and incident dementia over 10 years. SHILAP Revista de lepidopterología. 5. 100178–100178. 4 indexed citations
14.
Hillary, Robert F., Danni A. Gadd, Daniel L. McCartney, et al.. (2022). Genome‐ and epigenome‐wide studies of plasma protein biomarkers for Alzheimer's disease implicate TBCA and TREM2 in disease risk. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 14(1). e12280–e12280. 5 indexed citations
15.
Gadd, Danni A., et al.. (2022). Associations between cerebrospinal fluid markers and cognition in ageing and dementia: A systematic review. European Journal of Neuroscience. 56(9). 5650–5713. 8 indexed citations
16.
Stevenson, Anna J., Danni A. Gadd, Robert F. Hillary, et al.. (2021). Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6. The Journals of Gerontology Series A. 76(12). 2284–2292. 20 indexed citations
17.
Gadd, Danni A., Anna J. Stevenson, Robert F. Hillary, et al.. (2021). Epigenetic predictors of lifestyle traits applied to the blood and brain. Brain Communications. 3(2). fcab082–fcab082. 6 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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