Adrian J. Bone

2.4k citations
51 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

Adrian J. Bone

51 papers receiving 1.7k citations

Adrian J. Bone's Hit Papers

Analysis of islet inflammation in human type 1 diabetes 2008 · 560 citations
5600+6+12Years since publication100200300400500

Peers

Adrian J. Bone
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 637
  • Genetics 935
  • Surgery 912
  • Clinical Biochemistry 132
  • Immunology 318
Replace J. Nerup with:
J. Nerup Denmark
Yoshihiko Yamaguchi Japan
A A Rossini United States
Takuma Kondo Japan
P. H. Wright United States
Shiva Reddy New Zealand
Vanessa Lavallard Switzerland
Atsushi Imai Japan
Sandrine Marie Belgium
Diane Ostrega United States
Adrian J. Bone relative to J. Nerup Denmark J. Nerup's profile →
Citations per field
00.5×9.5×
J. Nerup · 1×
Citations per year

Countries citing papers authored by Adrian J. Bone

Since Specialization
Citations

This map shows the geographic impact of Adrian J. Bone'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 Adrian J. Bone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian J. Bone more than expected).

Fields of papers citing papers by Adrian J. Bone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian J. Bone. 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 Adrian J. Bone. The network helps show where Adrian J. Bone may publish in the future.

Co-authors

The 25 scholars most cited alongside Adrian J. Bone, 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 Adrian J. Bone Line = papers co-authored together Adrian J. Bone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analysis of islet inflammation in human type 1 diabetes
Hit paper breakdown →
2008560
2 1996105
3 198898
4 198394
5 198590
6 201072
7 198062
8 198460
9 197656
10 200450
11 199247
12 200632
13 200430
14 201330
15 200130
16 200530
17 198629
18 198428
19 198526
20 201026

About Adrian J. Bone

Adrian J. Bone is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Clinical Biochemistry, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Diabetes and associated disorders (21 papers), Diabetes Management and Research (12 papers), Metabolism, Diabetes, and Cancer (7 papers), Diet, Metabolism, and Disease (6 papers), Metabolism and Genetic Disorders (5 papers), Diabetes Treatment and Management (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (637 citations), Genetics (935 citations), Surgery (912 citations), Clinical Biochemistry (132 citations) and Immunology (318 citations). Adrian J. Bone has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Noel G. Morgan, Sarah J. Richardson, Alan K. Foulis, Abby Willcox, J. D. Baird, Anne Cooke, Ingemar Swenne, Douglass M. Turnbull, Simon L. Howell and H. S. A. Sherratt. Their work appears in journals such as Diabetes, Diabetologia, Biochemical Society Transactions, Hormone and Metabolic Research and Biochemical Pharmacology.

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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