Noraidatulakma Abdullah
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- Rahman JamalNor Azian Abdul MuradShamsul Azhar ShahRodney J. ScottJohn AttiaChristopher OldmeadowSiti Aishah SulaimanNorlaila Mustafa
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Genetic Associations and Epidemiology (7 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- MalaysiaAustraliaUnited Kingdom
In The Last Decade
Noraidatulakma Abdullah
38 papers receiving 470 citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 103
- Molecular Biology 90
- Epidemiology 88
- Cardiology and Cardiovascular Medicine 84
- Public Health, Environmental and Occupational Health 62
Countries citing papers authored by Noraidatulakma Abdullah
This map shows the geographic impact of Noraidatulakma Abdullah'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 Noraidatulakma Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noraidatulakma Abdullah more than expected).
Fields of papers citing papers by Noraidatulakma Abdullah
This network shows the impact of papers produced by Noraidatulakma Abdullah. 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 Noraidatulakma Abdullah. The network helps show where Noraidatulakma Abdullah may publish in the future.
Co-authorship network of co-authors of Noraidatulakma Abdullah
This figure shows the co-authorship network connecting the top 25 collaborators of Noraidatulakma Abdullah. A scholar is included among the top collaborators of Noraidatulakma Abdullah 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 Noraidatulakma Abdullah. Noraidatulakma Abdullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 42 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 18 | |
| 18 | 13 | |
| 19 | 56 | |
| 20 | 1 |
About Noraidatulakma Abdullah
Noraidatulakma Abdullah is a scholar working on Health Information Management, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 44 papers that have together received 481 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Genetic Associations and Epidemiology (7 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (46 citations), Family Practice (18 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Noraidatulakma Abdullah has collaborated with scholars based in Malaysia, Australia and United Kingdom. Frequent co-authors include Rahman Jamal, Nor Azian Abdul Murad, Shamsul Azhar Shah, Rodney J. Scott, John Attia, Christopher Oldmeadow, Siti Aishah Sulaiman, Norlaila Mustafa, Syed Zulkifli Syed Zakaria and Rosmina Jaafar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.