Aileen King

4.6k citations
75 papers · 3.6k · 1 hit paper · h-index 28

Impact in

Papers in

Aileen King

74 papers receiving 3.5k citations

Aileen King's Hit Papers

The use of animal models in diabetes research 2012 · 1.0k citations
1.0k0+4+9Years since publication2505007501000

Peers

Aileen King
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 1.8k
  • Endocrine and Autonomic Systems 163
  • Genetics 635
  • Genetics 210
Replace Emmanuel C. Opara with:
Emmanuel C. Opara United States
Benoit R. Gauthier Spain
Xiao Han China
Kathrin Maedler Germany
Yuhui Wang China
Neville H. McClenaghan United Kingdom
Stellan Sandler Sweden
Hideyuki Sakoda Japan
Daniel T. Meier Switzerland
Aileen King relative to Emmanuel C. Opara United States Emmanuel C. Opara's profile →
Citations per field
00.5×2×2.6×
Emmanuel C. Opara · 1×
Citations per year

Countries citing papers authored by Aileen King

Since Specialization
Citations

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

Fields of papers citing papers by Aileen King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aileen King. 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 Aileen King. The network helps show where Aileen King may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The use of animal models in diabetes research
Hit paper breakdown →
20121026
2 2008254
3 2014213
4 2015124
5 1999116
6 2011112
7 2001111
8 201386
9 201279
10 200570
11 200970
12 201266
13 201363
14 200362
15 201560
16 201360
17 201755
18 202049
19 200744
20 200344

About Aileen King

Aileen King is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Pharmacology, having authored 75 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (57 papers), Diabetes Management and Research (13 papers), Diabetes and associated disorders (13 papers), Cannabis and Cannabinoid Research (11 papers), Adipose Tissue and Metabolism (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Receptor Mechanisms and Signaling (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (1.8k citations), Endocrine and Autonomic Systems (163 citations), Genetics (635 citations) and Genetics (210 citations). Aileen King has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Peter M. Jones, Shanta J. Persaud, James E. Bowe, Arne Andersson, Astrid C. Hauge-Evans, Chloe L. Rackham, Stellan Sandler, Alan Kerby, Zara J. Franklin and Nance Beyer Nardi. Their work appears in journals such as Diabetologia, Diabetic Medicine, Diabetes, Stem Cells Translational Medicine and Diabetes Obesity 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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