Sarah H. Wild
- Endocrinology, Diabetes and Metabolism top 0.01%
- Epidemiology top 0.2%
- Molecular Biology top 1%
- Surgery top 0.5%
- Physiology top 0.2%
- Co-authors
- Gojka RoglićAnders GreenRichard SicreeHilary KingChristopher D. ByrnePaul McKeiguePouya SaeediSuvi Karuranga
- Topics
- Chronic Disease Management Strategies (60 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers)Diabetes Management and Research (53 papers)
- Partner nations
- United KingdomSouth KoreaUnited States
In The Last Decade
Sarah H. Wild
316 papers receiving 28.9k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Endocrinology, Diabetes and Metabolism 14.0k
- Epidemiology 5.6k
- Molecular Biology 5.0k
- Surgery 4.0k
- Physiology 3.7k
Countries citing papers authored by Sarah H. Wild
This map shows the geographic impact of Sarah H. Wild'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 Sarah H. Wild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah H. Wild more than expected).
Fields of papers citing papers by Sarah H. Wild
This network shows the impact of papers produced by Sarah H. Wild. 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 Sarah H. Wild. The network helps show where Sarah H. Wild may publish in the future.
Co-authorship network of co-authors of Sarah H. Wild
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah H. Wild. A scholar is included among the top collaborators of Sarah H. Wild 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 Sarah H. Wild. Sarah H. Wild 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 | 3 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 31 | |
| 11 | 16 | |
| 12 | 27 | |
| 13 | 58 | |
| 14 | 14 | |
| 15 | Cancer occurrence in type 1 diabetes patients: a 4-country study with 8800 cancer cases in 3.7 mio person-years | 1 |
| 16 | 4 | |
| 17 | 179 | |
| 18 | The metabolic syndrome: science and clinical practice | 1 |
| 19 | The metabolic syndrome | 19 |
| 20 | Prevention of type 2 diabetes and associated cardiovascular disease | 1 |
About Sarah H. Wild
Sarah H. Wild is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Geriatrics and Gerontology, having authored 336 papers that have together received 30.4k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (60 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers) and Diabetes Management and Research (53 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (14.0k citations), Epidemiology (5.6k citations) and Cardiology and Cardiovascular Medicine (3.6k citations). Sarah H. Wild has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Gojka Roglić, Anders Green, Richard Sicree, Hilary King, Christopher D. Byrne, Paul McKeigue, Pouya Saeedi, Suvi Karuranga, Howard S. Jacobs and T. Pierpoint. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.