Abigail Robinson
- Physiology top 2%
- Human-Computer Interaction top 1%
- Molecular Biology
- Clinical Biochemistry top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- D. WilliamsonBernhard SpanlangDavid M. ClarkSarah ReeveAnke EhlersMel SlaterDaniel FreemanD H Williamson
- Topics
- Diet and metabolism studies (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Adipose Tissue and Metabolism (3 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Abigail Robinson
13 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Physiology 833
- Human-Computer Interaction 350
- Molecular Biology 275
- Clinical Biochemistry 272
- Endocrinology, Diabetes and Metabolism 257
Countries citing papers authored by Abigail Robinson
This map shows the geographic impact of Abigail Robinson'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 Abigail Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abigail Robinson more than expected).
Fields of papers citing papers by Abigail Robinson
This network shows the impact of papers produced by Abigail Robinson. 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 Abigail Robinson. The network helps show where Abigail Robinson may publish in the future.
Co-authorship network of co-authors of Abigail Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of Abigail Robinson. A scholar is included among the top collaborators of Abigail Robinson 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 Abigail Robinson. Abigail Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | Virtual reality in the assessment, understanding, and treatment of mental health disordersbreakdown → | 783 |
| 5 | 46 | |
| 6 | The Ku autoantigen: cast in a new light. | 1 |
| 7 | Physiological roles of ketone bodies as substrates and signals in mammalian tissues.breakdown → | 867 |
| 8 | 88 | |
| 9 | 22 | |
| 10 | 118 | |
| 11 | 19 | |
| 12 | 22 | |
| 13 | 37 |
About Abigail Robinson
Abigail Robinson is a scholar working on Applied Psychology, Endocrinology, Diabetes and Metabolism and Endocrinology, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diet and metabolism studies (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Human-Computer Interaction (350 citations), Clinical Biochemistry (272 citations) and Applied Psychology (182 citations). Abigail Robinson has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include D. Williamson, Bernhard Spanlang, David M. Clark, Sarah Reeve, Anke Ehlers, Mel Slater, Daniel Freeman, D H Williamson, J.R. Girard and Loranne Agius. Their work appears in journals such as Circulation, Physiological Reviews and Biochemical Journal.
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.