Sonia Shah
- Molecular Biology top 10%
- Genetics top 5%
- Surgery top 5%
- Immunology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Naomi R. WrayPeter M. VisscherAllan F. McRaeAroon D. HingoraniMika KivimäkiJohn C. WhittakerSarah E. HarrisIan J. Deary
- Topics
- Genetic Associations and Epidemiology (10 papers)HIV Research and Treatment (7 papers)Epigenetics and DNA Methylation (7 papers)
- Journals
- The LancetBloodBioinformatics
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Sonia Shah
48 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.2k
- Genetics 609
- Surgery 560
- Immunology 289
- Cardiology and Cardiovascular Medicine 262
Countries citing papers authored by Sonia Shah
This map shows the geographic impact of Sonia Shah'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 Sonia Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Shah more than expected).
Fields of papers citing papers by Sonia Shah
This network shows the impact of papers produced by Sonia Shah. 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 Sonia Shah. The network helps show where Sonia Shah may publish in the future.
Co-authorship network of co-authors of Sonia Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Shah. A scholar is included among the top collaborators of Sonia Shah 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 Sonia Shah. Sonia Shah 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 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 42 | |
| 7 | 24 | |
| 8 | 213 | |
| 9 | The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936breakdown → | 397 |
| 10 | 4 | |
| 11 | 39 | |
| 12 | 12 | |
| 13 | 19 | |
| 14 | Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control studybreakdown → | 411 |
| 15 | 45 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | 83 | |
| 19 | 2 | |
| 20 | 20 |
About Sonia Shah
Sonia Shah is a scholar working on Virology, Genetics and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), HIV Research and Treatment (7 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Aging (61 citations), Virology (140 citations) and Genetics (609 citations). Sonia Shah has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Aroon D. Hingorani, Mika Kivimäki, John C. Whittaker, Sarah E. Harris, Ian J. Deary, Riccardo E. Marioni and Lee Murphy. Their work appears in journals such as The Lancet, Blood and Bioinformatics.
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.