G Thanabalasingham

1.3k citations
30 papers · 991 · h-index 11

Impact in

    • Pituitary Gland Disorders and Treatments
    • Diabetes Management and Research
  • Genetics top 5%
    • Diabetes and associated disorders
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology

Papers in

G Thanabalasingham

26 papers receiving 924 citations

Peers

G Thanabalasingham
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 334
  • Genetics 484
  • Surgery 368
  • Nephrology 47
  • Obstetrics and Gynecology 19
Replace Nattachet Plengvidhya with:
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Tadasu Kasahara Japan
Hiroyuki Kuroki Japan
Jeffrey W. Kleinberger United States
Lisa I.S. Allen United Kingdom
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Marju Orho Sweden
Luísa M. Barros Portugal
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Citations per year

Countries citing papers authored by G Thanabalasingham

Since Specialization
Citations

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

Fields of papers citing papers by G Thanabalasingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006182
2 2012151
3 2011147
4 201098
5 201290
6 201187
7 200762
8 201443
9 201241
10 201218
11 202417
12 201210
13 20146
14 20125
15 20145
16
Extending criteria for genetic testing increases diagnosis of maturity-onset diabetes of the young
20104
17 20134
18 20244
19 20053
20 20143

About G Thanabalasingham

G Thanabalasingham is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Obstetrics and Gynecology and Nephrology, having authored 30 papers that have together received 991 indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (10 papers), Pituitary Gland Disorders and Treatments (4 papers), Diabetes Management and Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Gestational Diabetes Research and Management (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (334 citations), Genetics (484 citations), Surgery (368 citations), Nephrology (47 citations) and Obstetrics and Gynecology (19 citations). G Thanabalasingham has collaborated with scholars based in United Kingdom, Denmark and Norway. Frequent co-authors include Katharine R. Owen, Olaf Ansorge, Mark I. McCarthy, John A. H. Wass, Niki Karavitaki, Andrew A. Farmer, Helen E. Turner, Raluca Alexandra Trifanescu, Sian Ellard and Anna L. Gloyn. Their work appears in journals such as Diabetes Care, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Diabetes and Clinica Chimica Acta.

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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