Gaya Thanabalasingham

842 citations
17 papers · 485 · h-index 7

Impact in

    • Pituitary Gland Disorders and Treatments
    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes Management and Research
    • Diabetes Treatment and Management
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Pancreatic function and diabetes 6
    • Pituitary Gland Disorders and Treatments 3
    • Diabetes Treatment and Management 3
    • Growth Hormone and Insulin-like Growth Factors 3
    • Diabetes Management and Research 2

Gaya Thanabalasingham

15 papers receiving 466 citations

Peers

Gaya Thanabalasingham
Comparison fields: 5 of 44
  • Endocrinology, Diabetes and Metabolism 290
  • Genetics 244
  • Surgery 344
  • Nephrology 32
  • Genetics 18
Replace Subbiah Sridhar with:
Subbiah Sridhar India
Marina Pourafkari Iran
Iulia Potorac Belgium
Elisa Verrua Italy
Qiao-Yi Chen United States
Anna Casteràs Spain
Ana Agapito Portugal
Karina Danilowicz Argentina
Elvira De Martino Italy
Zhengang Xu China
Gaya Thanabalasingham relative to Subbiah Sridhar India Subbiah Sridhar's profile →
Citations per field
00.5×4.7×
Subbiah Sridhar · 1×
Citations per year

Countries citing papers authored by Gaya Thanabalasingham

Since Specialization
Citations

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

Fields of papers citing papers by Gaya Thanabalasingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2006139
2 2012136
3 201088
4 201238
5 201435
6 201216
7 201210
8 20246
9 20125
10 20143
11 20052
12 20132
13 20242
14 20202
15 20221
16 20250
17 20250

About Gaya Thanabalasingham

Gaya Thanabalasingham is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics and Molecular Biology, having authored 17 papers that have together received 485 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Diabetes Treatment and Management (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Chronic Disease Management Strategies (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (290 citations), Genetics (244 citations), Surgery (344 citations), Nephrology (32 citations) and Genetics (18 citations). Gaya Thanabalasingham has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Katharine R. Owen, Mark I. McCarthy, Andrew Farmer, Niki Karavitaki, John Wass, Sian Ellard, Olaf Ansorge, Raluca Trifănescu, Helen Turner and Anna L. Gloyn. Their work appears in journals such as Diabetes Care, Journal of Hepatology, Diabetes, European Journal of Endocrinology and Acta Diabetologica.

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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