Danielle Newby
Impact in
- Health Informatics top 10%
Papers in
-
- Dementia and Cognitive Impairment Research 7
- Genetics 6
- Genetic Associations and Epidemiology 6
- Co-authors
- Taravat Ghafourian (6 shared papers)Alex A. Freitas (6 shared papers)Alejo Nevado‐Holgado (14 shared papers)Laura Winchester (12 shared papers)Marco Fernandes (8 shared papers)William Sproviero (7 shared papers)Donald M. Lyall (4 shared papers)Simon Lovestone (4 shared papers)
- Journals
- Alzheimer s & Dementia (4 papers)Translational Psychiatry (2 papers)Journal of Chemical Information and Modeling (2 papers)Nature Communications (2 papers)Diabetes Obesity and Metabolism (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Danielle Newby
39 papers receiving 634 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 16
- Aging 15
- Computational Theory and Mathematics 86
- Psychiatry and Mental health 71
- Health, Toxicology and Mutagenesis 71
Countries citing papers authored by Danielle Newby
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
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-authors
The 25 scholars most cited alongside Danielle Newby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 77 | |
| 2 | 2018 | 62 | |
| 3 | 2020 | 49 | |
| 4 | 2021 | 36 | |
| 5 | 2023 | 36 | |
| 6 | 2017 | 34 | |
| 7 | 2022 | 29 | |
| 8 | 2017 | 29 | |
| 9 | 2013 | 28 | |
| 10 | 2023 | 26 | |
| 11 | 2020 | 23 | |
| 12 | 2013 | 21 | |
| 13 | 2023 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2023 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2024 | 12 | |
| 19 | 2012 | 11 | |
| 20 | 2022 | 11 |
About Danielle Newby
Danielle Newby is a scholar working on Psychiatry and Mental health, Genetics, Molecular Biology, Computational Theory and Mathematics and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 642 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Genetic Associations and Epidemiology (6 papers), Computational Drug Discovery Methods (5 papers), Blood Pressure and Hypertension Studies (3 papers), COVID-19 and healthcare impacts (3 papers), Chronic Disease Management Strategies (2 papers), Alzheimer's disease research and treatments (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (16 citations), Aging (15 citations), Computational Theory and Mathematics (86 citations), Psychiatry and Mental health (71 citations) and Health, Toxicology and Mutagenesis (71 citations). Danielle Newby has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Taravat Ghafourian, Alex A. Freitas, Alejo Nevado‐Holgado, Laura Winchester, Marco Fernandes, William Sproviero, Donald M. Lyall, Simon Lovestone, Mina Fazel and Jonathan J. Evans. Their work appears in journals such as Alzheimer s & Dementia, Translational Psychiatry, Journal of Chemical Information and Modeling, Nature Communications and Diabetes Obesity and Metabolism.
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.