Andrew P. R. Sutherland
- Immunology top 2%
- Physiology top 5%
- Molecular Biology
- Genetics top 10%
- Epidemiology
- Co-authors
- Fabienne MackayCharles R. MackayM Rebuffé-ScriveCynthia M. KuhnRichard S. SurwitEmmanuel C. OparaAnn PetroJudith Rodin
- Topics
- T-cell and B-cell Immunology (12 papers)Immune Cell Function and Interaction (11 papers)Diabetes and associated disorders (5 papers)
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Andrew P. R. Sutherland
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 946
- Physiology 420
- Molecular Biology 357
- Genetics 298
- Epidemiology 241
Countries citing papers authored by Andrew P. R. Sutherland
This map shows the geographic impact of Andrew P. R. Sutherland'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 Andrew P. R. Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew P. R. Sutherland more than expected).
Fields of papers citing papers by Andrew P. R. Sutherland
This network shows the impact of papers produced by Andrew P. R. Sutherland. 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 Andrew P. R. Sutherland. The network helps show where Andrew P. R. Sutherland may publish in the future.
Co-authorship network of co-authors of Andrew P. R. Sutherland
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. R. Sutherland. A scholar is included among the top collaborators of Andrew P. R. Sutherland 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 Andrew P. R. Sutherland. Andrew P. R. Sutherland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 27 | |
| 7 | 78 | |
| 8 | 70 | |
| 9 | 22 | |
| 10 | 74 | |
| 11 | 80 | |
| 12 | 139 | |
| 13 | 62 | |
| 14 | 62 | |
| 15 | 55 | |
| 16 | 114 | |
| 17 | 7 | |
| 18 | 401 | |
| 19 | 109 | |
| 20 | Differential effects of fat and sucrose on the development of obesity and diabetes in C57BL/6J and micebreakdown → | 539 |
About Andrew P. R. Sutherland
Andrew P. R. Sutherland is a scholar working on Immunology, Genetics and Endocrine and Autonomic Systems, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (11 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Immunology (946 citations), Endocrine and Autonomic Systems (147 citations) and Physiology (420 citations). Andrew P. R. Sutherland has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Fabienne Mackay, Charles R. Mackay, M Rebuffé-Scrive, Cynthia M. Kuhn, Richard S. Surwit, Emmanuel C. Opara, Ann Petro, Judith Rodin, Mark N. Feinglos and Lai Guan Ng. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Journal of Molecular Biology.
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.