J P Hosker

32.0k citations
15 papers · 27.8k indexed · 1 hit paper · h-index 11

J P Hosker

15 papers receiving 27.1k citations

Hit Papers

Homeostasis model assessment: insulin resistance and?-cel...27.1k19852026199820125.0k10.0k15.0k20.0k25.0k

Peers

J P Hosker
Comparison fields: 5 of 153
  • Endocrinology, Diabetes and Metabolism 10.4k
  • Endocrine and Autonomic Systems 2.2k
  • Physiology 8.4k
  • Epidemiology 7.7k
  • Cardiology and Cardiovascular Medicine 4.7k
Replace B A Naylor with:
B A Naylor United Kingdom
A. Rudenski United Kingdom
DF Treacher United Kingdom
Dario Giugliano Italy
Michael J. Quon United States
Paresh Dandona United States
Ralph A. DeFronzo United States
Karen A. Donato United States
Ulf Smith Sweden
Hans Lithell Sweden
J P Hosker relative to B A Naylor United Kingdom B A Naylor's profile →
Citations per field
00.5×1.5×
B A Naylor · 1×
Citations per year

Countries citing papers authored by J P Hosker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside J P Hosker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J P Hosker Line = papers co-authored together J P Hosker links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 199493
2 19935
3 19934
4 199110
5
Application of structural model of glucose-insulin relations to assess beta-cell function and insulin sensitivity.
199020
6 198824
7 19884
8
Pancreatic islet amyloid and elevated proinsulin secretion in familial maturity-onset diabetes.
198710
9 1986184
10 1985235
11 198540
12
Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in manbreakdown →
198527105
13
LOSS OF NORMAL SIGMOID, BETA-CELL DOSE-RESPONSE CURVE TO GLUCOSE IN NON-INSULIN-DEPENDENT DIABETES
19845
14 198311
15 198213

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), Diabetes and associated disorders (7 papers), Diabetes Management and Research (7 papers), Diabetes Treatment and Management (3 papers), Food composition and properties (1 paper), Bariatric Surgery and Outcomes (1 paper) and Diet, Metabolism, and Disease (1 paper). 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.

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