Kristelle Brown
- Co-authors
- Timothy P. HicklingRobert B. SimStephen RyderWilliam L. IrvingKevin MorganChristopher MedwayNoor KalshekerJonathan K. Ball
- Topics
- Bioinformatics and Genomic Networks (6 papers)Genetic Associations and Epidemiology (5 papers)Alzheimer's disease research and treatments (3 papers)
- Cited by
- HepatologyAgingPhysiology
- Partner nations
- United KingdomUnited States
In The Last Decade
Kristelle Brown
14 papers receiving 313 citations
Peers
Comparison fields: 5 of 60
- Physiology 111
- Molecular Biology 105
- Immunology 88
- Genetics 64
- Hepatology 61
Countries citing papers authored by Kristelle Brown
This map shows the geographic impact of Kristelle Brown'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 Kristelle Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristelle Brown more than expected).
Fields of papers citing papers by Kristelle Brown
This network shows the impact of papers produced by Kristelle Brown. 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 Kristelle Brown. The network helps show where Kristelle Brown may publish in the future.
Co-authorship network of co-authors of Kristelle Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Kristelle Brown. A scholar is included among the top collaborators of Kristelle Brown 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 Kristelle Brown. Kristelle Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 55 | |
| 3 | 30 | |
| 4 | 5 | |
| 5 | 39 | |
| 6 | Next generation sequencing of CLU, PICALM and CR1: pitfalls and potential solutions. | 4 |
| 7 | 11 | |
| 8 | 9 | |
| 9 | Using Fisher's method with PLINK 'LD clumped' output to compare SNP effects across Genome-wide Association Study (GWAS) datasets. | 4 |
| 10 | 47 | |
| 11 | Analysis of Genome-Wide Association Study (GWAS) data looking for replicating signals in Alzheimer's disease (AD). | 15 |
| 12 | Using In silico LD clumping and meta-analysis of genome-wide datasets as a complementary tool to investigate and validate new candidate biomarkers in Alzheimer's disease. | 6 |
| 13 | 53 | |
| 14 | 32 | |
| 15 | 6 |
About Kristelle Brown
Kristelle Brown is a scholar working on Aging, Hepatology and Genetics, having authored 15 papers that have together received 316 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genetic Associations and Epidemiology (5 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Hepatology (61 citations), Aging (8 citations) and Physiology (111 citations). Kristelle Brown has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Timothy P. Hickling, Robert B. Sim, Stephen Ryder, William L. Irving, Kevin Morgan, Christopher Medway, Noor Kalsheker, Jonathan K. Ball, Hui Shi and Michael J. Keogh. Their work appears in journals such as Neurobiology of Aging, Experimental Biology and Medicine and Journal of Alzheimer s Disease.
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.