Andrew T. Hattersley

126.5k citations
634 papers · 38.9k indexed · 9 hit papers · h-index 107

Andrew T. Hattersley

621 papers receiving 37.9k citations

Hit Papers

Precision Medicin...2241999202620082017200400600

Peers

Andrew T. Hattersley
Comparison fields: 5 of 181
  • Endocrinology, Diabetes and Metabolism 16.8k
  • Genetics 20.8k
  • Surgery 22.6k
  • Obstetrics and Gynecology 2.2k
  • Molecular Biology 13.3k
Replace Leif Groop with:
Leif Groop Sweden
David B. Dunger United Kingdom
Åke Lernmark United States
Peter H. Bennett United States
Philippe Froguel France
Henning Beck‐Nielsen Denmark
Allan Vaag Denmark
Per‐Henrik Groop Finland
Paul M. Stewart United Kingdom
Anne Tybjærg‐Hansen Denmark
Andrew T. Hattersley relative to Leif Groop Sweden Leif Groop's profile →
Citations per field
00.5×1.5×2.2×
Leif Groop · 1×
Citations per year

Countries citing papers authored by Andrew T. Hattersley

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Hattersley'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 T. Hattersley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Hattersley more than expected).

Fields of papers citing papers by Andrew T. Hattersley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Hattersley. 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 T. Hattersley. The network helps show where Andrew T. Hattersley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20238
5 20238
6 202227
7 20219
8 20213
9 202062
10 201968
11 201973
12 201833
13 201838
14 201232
15
[Low doses of sulphonyluria as a successful replacement for insulin therapy in a patient with neonatal diabetes due to a mutation of KCNJ11 gene encoding Kir6.2].
20101
16 2009238
17 200923
18 19952
19 19958
20 19951

About Andrew T. Hattersley

Andrew T. Hattersley is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 634 papers that have together received 38.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (377 papers), Diabetes and associated disorders (227 papers), Diabetes Management and Research (161 papers), Metabolism, Diabetes, and Cancer (101 papers), Diabetes Treatment and Management (86 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (64 papers), Genetics and Neurodevelopmental Disorders (54 papers) and Birth, Development, and Health (50 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (16.8k citations), Genetics (20.8k citations) and Surgery (22.6k citations). Andrew T. Hattersley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sian Ellard, Beverley M. Shields, Mark I. McCarthy, Timothy M. Frayling, Maggie Shepherd, Ewan R. Pearson, Sarah E. Flanagan, Angus G. Jones, Michael N. Weedon and Anna L. Gloyn. Their work appears in journals such as Diabetes, Diabetologia, Diabetic Medicine, Diabetes Care and The Journal of Clinical Endocrinology & 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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