Dadang Fernando
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Endocrinology, Diabetes and Metabolism
- Epidemiology
- Molecular Biology
- Co-authors
- Sirimali FernandoSuranjith L. SeneviratneGathsaurie Neelika MalavigeIskandar IdrisSoon H SongP. V. R. KumarasiriCaroline DaltonNimantha Mark Wilfred de Alwis
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Diabetes Treatment and Management (2 papers)Diabetes and associated disorders (1 paper)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- Sri LankaUnited KingdomIndia
In The Last Decade
Dadang Fernando
10 papers receiving 462 citations
Peers
Comparison fields: 5 of 78
- Public Health, Environmental and Occupational Health 385
- Infectious Diseases 261
- Endocrinology, Diabetes and Metabolism 50
- Epidemiology 38
- Molecular Biology 36
Countries citing papers authored by Dadang Fernando
This map shows the geographic impact of Dadang Fernando'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 Dadang Fernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dadang Fernando more than expected).
Fields of papers citing papers by Dadang Fernando
This network shows the impact of papers produced by Dadang Fernando. 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 Dadang Fernando. The network helps show where Dadang Fernando may publish in the future.
Co-authorship network of co-authors of Dadang Fernando
This figure shows the co-authorship network connecting the top 25 collaborators of Dadang Fernando. A scholar is included among the top collaborators of Dadang Fernando based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dadang Fernando. Dadang Fernando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | 9 | |
| 7 | 408 | |
| 8 | 16 | |
| 9 | Histological autoimmune thyroiditis in a struma ovarii. | 3 |
| 10 | Prevalence of lipid abnormalities in Sri Lankan patients with non-insulin dependent diabetes mellitus. | 1 |
About Dadang Fernando
Dadang Fernando is a scholar working on Endocrinology, Diabetes and Metabolism, Microbiology and Endocrine and Autonomic Systems, having authored 10 papers that have together received 505 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Treatment and Management (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Infectious Diseases (261 citations), Public Health, Environmental and Occupational Health (385 citations) and Modeling and Simulation (18 citations). Dadang Fernando has collaborated with scholars based in Sri Lanka, United Kingdom and India. Frequent co-authors include Sirimali Fernando, Suranjith L. Seneviratne, Gathsaurie Neelika Malavige, Iskandar Idris, Soon H Song, P. V. R. Kumarasiri, Caroline Dalton, Nimantha Mark Wilfred de Alwis, R Deepa and George Thomson. Their work appears in journals such as Diabetic Medicine, QJM and Diabetes Research and Clinical Practice.
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.