Eleanor Wheeler
- Genetics top 5%
- Genetic Associations and Epidemiology 23
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic and phenotypic traits in livestock 4
- Physiology top 10%
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- Metabolism, Diabetes, and Cancer 5
- Metabolomics and Mass Spectrometry Studies 3
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- Liver Disease Diagnosis and Treatment 4
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- SARS-CoV-2 and COVID-19 Research 3
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Inês BarrosoClaudia LangenbergNicholas J. WarehamNicola D. KerrisonMaik PietznerStephen O’RahillyJian’an LuanI. Sadaf Farooqi
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Eleanor Wheeler
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Endocrine and Autonomic Systems 200
- Genetics 689
- Endocrinology, Diabetes and Metabolism 286
- Physiology 307
- Molecular Biology 668
Countries citing papers authored by Eleanor Wheeler
This map shows the geographic impact of Eleanor Wheeler'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 Eleanor Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleanor Wheeler more than expected).
Fields of papers citing papers by Eleanor Wheeler
This network shows the impact of papers produced by Eleanor Wheeler. 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 Eleanor Wheeler. The network helps show where Eleanor Wheeler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eleanor Wheeler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 33 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 17 | |
| 13 | 2021 | 34 | |
| 14 | 2021 | 99 | |
| 15 | 2021 | 0 | |
| 16 | 2020 | 69 | |
| 17 | 2014 | 72 | |
| 18 | A genome-wide scan of adult human stature and skeletal size. | 2008 | 1 |
| 19 | 1985 | 34 | |
| 20 | 1981 | 2 |
About Eleanor Wheeler
Eleanor Wheeler is a scholar working on Genetics, Human Factors and Ergonomics and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Genetic and phenotypic traits in livestock (4 papers), Liver Disease Diagnosis and Treatment (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (200 citations), Genetics (689 citations) and Endocrinology, Diabetes and Metabolism (286 citations). Eleanor Wheeler has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Inês Barroso, Claudia Langenberg, Nicholas J. Wareham, Nicola D. Kerrison, Maik Pietzner, Stephen O’Rahilly, Jian’an Luan, I. Sadaf Farooqi, Julia Carrasco-Zanini and Julia M. Keogh. Their work appears in journals such as Cell, Circulation and Journal of Clinical Investigation.
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.