J P Hosker
- Endocrinology, Diabetes and Metabolism top 0.02%
- Physiology top 0.05%
- Epidemiology top 0.1%
- Molecular Biology top 1%
- Cardiology and Cardiovascular Medicine top 0.2%
- Co-authors
- A. RudenskiR. C. TurnerDavid R. MatthewsB A NaylorDF TreacherM. A. BurnettPauline DarlingE. Bown
- Topics
- Pancreatic function and diabetes (9 papers)Metabolism, Diabetes, and Cancer (8 papers)Diabetes and associated disorders (7 papers)
- Journals
- The LancetDiabetologiaMetabolism
- Partner nations
- United Kingdom
In The Last Decade
J P Hosker
15 papers receiving 27.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Endocrinology, Diabetes and Metabolism 10.4k
- Physiology 8.4k
- Epidemiology 7.7k
- Molecular Biology 5.1k
- Cardiology and Cardiovascular Medicine 4.7k
Countries citing papers authored by J P Hosker
This map shows the geographic impact of J P Hosker'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 J P Hosker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J P Hosker more than expected).
Fields of papers citing papers by J P Hosker
This network shows the impact of papers produced by J P Hosker. 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 J P Hosker. The network helps show where J P Hosker may publish in the future.
Co-authorship network of co-authors of J P Hosker
This figure shows the co-authorship network connecting the top 25 collaborators of J P Hosker. A scholar is included among the top collaborators of J P Hosker 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 J P Hosker. J P Hosker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 93 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | Application of structural model of glucose-insulin relations to assess beta-cell function and insulin sensitivity. | 20 |
| 6 | 24 | |
| 7 | 4 | |
| 8 | Pancreatic islet amyloid and elevated proinsulin secretion in familial maturity-onset diabetes. | 10 |
| 9 | 184 | |
| 10 | 235 | |
| 11 | 40 | |
| 12 | Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in manbreakdown → | 27105 |
| 13 | LOSS OF NORMAL SIGMOID, BETA-CELL DOSE-RESPONSE CURVE TO GLUCOSE IN NON-INSULIN-DEPENDENT DIABETES | 5 |
| 14 | 11 | |
| 15 | 13 |
About J P Hosker
J P Hosker is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 15 papers that have together received 27.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (10.4k citations), Endocrine and Autonomic Systems (2.2k citations) and Physiology (8.4k citations). J P Hosker has collaborated with scholars based in United Kingdom. Frequent co-authors include A. Rudenski, R. C. Turner, David R. Matthews, B A Naylor, DF Treacher, M. A. Burnett, Pauline Darling, E. Bown, Stephen O’Rahilly and Zoann Nugent. Their work appears in journals such as The Lancet, Diabetologia and Metabolism.
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.