Vanessa Y. Tan
- Genetics top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Physiology top 5%
- Rheumatology top 2%
- Co-authors
- Richard M. MartinNicholas J. TimpsonTom R. GauntJames YarmolinskyGeorge Davey SmithValeriia HaberlandGibran HemaniRyan Langdon
- Topics
- Genetic Associations and Epidemiology (3 papers)Genetic and phenotypic traits in livestock (2 papers)Endometrial and Cervical Cancer Treatments (2 papers)
- Journals
- BioinformaticseLifeBMC Medicine
- Partner nations
- United KingdomAustraliaFrance
In The Last Decade
Vanessa Y. Tan
11 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Genetics 2.3k
- Molecular Biology 1.3k
- Epidemiology 713
- Physiology 617
- Rheumatology 478
Countries citing papers authored by Vanessa Y. Tan
This map shows the geographic impact of Vanessa Y. Tan'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 Vanessa Y. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Y. Tan more than expected).
Fields of papers citing papers by Vanessa Y. Tan
This network shows the impact of papers produced by Vanessa Y. Tan. 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 Vanessa Y. Tan. The network helps show where Vanessa Y. Tan may publish in the future.
Co-authorship network of co-authors of Vanessa Y. Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Y. Tan. A scholar is included among the top collaborators of Vanessa Y. Tan 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 Vanessa Y. Tan. Vanessa Y. Tan 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 | 42 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 6 | |
| 9 | The MR-Base platform supports systematic causal inference across the human phenomebreakdown → | 4374 |
| 10 | 30 | |
| 11 | 69 | |
| 12 | 40 | |
| 13 | 132 |
About Vanessa Y. Tan
Vanessa Y. Tan is a scholar working on Cancer Research, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Genetics (2.3k citations), Biological Psychiatry (80 citations) and Rheumatology (478 citations). Vanessa Y. Tan has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Richard M. Martin, Nicholas J. Timpson, Tom R. Gaunt, James Yarmolinsky, George Davey Smith, Valeriia Haberland, Gibran Hemani, Ryan Langdon, Charles Laurin and Benjamin Elsworth. Their work appears in journals such as Bioinformatics, eLife and BMC Medicine.
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.