Pippa J. Gunn
- Public Health, Environmental and Occupational Health top 2%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Sigrid GibsonMargaret AshwellLeanne HodsonJ. Bernadette MooreBarbara A. FieldingCharlotte GreenSarah K. DaviesDebra J. Skene
- Topics
- Liver Disease Diagnosis and Treatment (9 papers)Diet, Metabolism, and Disease (7 papers)Lipid metabolism and biosynthesis (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPhysiologyPublic Health, Environmental and Occupational Health
- Partner nations
- United KingdomSwedenCanada
In The Last Decade
Pippa J. Gunn
16 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Public Health, Environmental and Occupational Health 790
- Physiology 726
- Endocrinology, Diabetes and Metabolism 664
- Epidemiology 535
- Cardiology and Cardiovascular Medicine 425
Countries citing papers authored by Pippa J. Gunn
This map shows the geographic impact of Pippa J. Gunn'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 Pippa J. Gunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pippa J. Gunn more than expected).
Fields of papers citing papers by Pippa J. Gunn
This network shows the impact of papers produced by Pippa J. Gunn. 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 Pippa J. Gunn. The network helps show where Pippa J. Gunn may publish in the future.
Co-authorship network of co-authors of Pippa J. Gunn
This figure shows the co-authorship network connecting the top 25 collaborators of Pippa J. Gunn. A scholar is included among the top collaborators of Pippa J. Gunn 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 Pippa J. Gunn. Pippa J. Gunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 60 | |
| 4 | 202 | |
| 5 | 53 | |
| 6 | 6 | |
| 7 | 30 | |
| 8 | 12 | |
| 9 | 59 | |
| 10 | 84 | |
| 11 | 25 | |
| 12 | 109 | |
| 13 | 36 | |
| 14 | 23 | |
| 15 | Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysisbreakdown → | 1448 |
| 16 | 35 |
About Pippa J. Gunn
Pippa J. Gunn is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (7 papers) and Lipid metabolism and biosynthesis (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (664 citations), Physiology (726 citations) and Public Health, Environmental and Occupational Health (790 citations). Pippa J. Gunn has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include Sigrid Gibson, Margaret Ashwell, Leanne Hodson, J. Bernadette Moore, Barbara A. Fielding, Charlotte Green, Sarah K. Davies, Debra J. Skene, Benita Middleton and Victoria L. Revell. Their work appears in journals such as Critical Reviews in Food Science and Nutrition, Nutrients and European Journal of Neuroscience.
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.