Emily D. Williams
- Endocrinology, Diabetes and Metabolism top 2%
- General Health Professions top 5%
- Public Health, Environmental and Occupational Health top 5%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Brian OldenburgMark HamerRobyn J. TappAndrew SteptoeTarani ChandolaJonathan E. ShawDianna J. MaglianoPaul Zimmet
- Topics
- Cardiac Health and Mental Health (12 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Diabetes Management and Education (10 papers)
- Journals
- PLoS ONENeurologyDiabetes Care
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Emily D. Williams
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 130
- Endocrinology, Diabetes and Metabolism 454
- General Health Professions 364
- Public Health, Environmental and Occupational Health 334
- Physiology 237
- Cardiology and Cardiovascular Medicine 229
Countries citing papers authored by Emily D. Williams
This map shows the geographic impact of Emily D. Williams'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 Emily D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily D. Williams more than expected).
Fields of papers citing papers by Emily D. Williams
This network shows the impact of papers produced by Emily D. Williams. 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 Emily D. Williams. The network helps show where Emily D. Williams may publish in the future.
Co-authorship network of co-authors of Emily D. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Emily D. Williams. A scholar is included among the top collaborators of Emily D. Williams 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 Emily D. Williams. Emily D. Williams 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 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 86 | |
| 8 | 1 | |
| 9 | 88 | |
| 10 | 128 | |
| 11 | 22 | |
| 12 | 51 | |
| 13 | 47 | |
| 14 | 17 | |
| 15 | 107 | |
| 16 | 30 | |
| 17 | 25 | |
| 18 | 80 | |
| 19 | 71 | |
| 20 | 2 |
About Emily D. Williams
Emily D. Williams is a scholar working on Health, Pharmacy and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Diabetes Management and Education (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Biological Psychiatry (49 citations) and Pharmacy (96 citations). Emily D. Williams has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Brian Oldenburg, Mark Hamer, Robyn J. Tapp, Andrew Steptoe, Tarani Chandola, Jonathan E. Shaw, Dianna J. Magliano, Paul Zimmet, Lal Rawal and Emmanuel Stamatakis. Their work appears in journals such as PLoS ONE, Neurology and Diabetes Care.
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.