Wan Nor Arifin
- Public Health, Environmental and Occupational Health top 10%
- Clinical Psychology top 10%
- General Health Professions top 5%
- Physiology top 10%
- Epidemiology
- Co-authors
- Muhamad Saiful Bahri YusoffYee Cheng KuehNyi Nyi NaingHabsah HasanMohammed Dauda GoniNadiah Wan‐ArfahZakuan Zainy DerisSiti Nurma Hanim Hadie
- Topics
- Travel-related health issues (8 papers)Innovations in Medical Education (7 papers)COVID-19 epidemiological studies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- MalaysiaUnited KingdomSouth Korea
In The Last Decade
Wan Nor Arifin
75 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Public Health, Environmental and Occupational Health 240
- Clinical Psychology 237
- General Health Professions 210
- Physiology 210
- Epidemiology 198
Countries citing papers authored by Wan Nor Arifin
This map shows the geographic impact of Wan Nor Arifin'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 Wan Nor Arifin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Nor Arifin more than expected).
Fields of papers citing papers by Wan Nor Arifin
This network shows the impact of papers produced by Wan Nor Arifin. 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 Wan Nor Arifin. The network helps show where Wan Nor Arifin may publish in the future.
Co-authorship network of co-authors of Wan Nor Arifin
This figure shows the co-authorship network connecting the top 25 collaborators of Wan Nor Arifin. A scholar is included among the top collaborators of Wan Nor Arifin 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 Wan Nor Arifin. Wan Nor Arifin 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 | 1 | |
| 3 | 51 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 5 | |
| 10 | 119 | |
| 11 | 14 | |
| 12 | Sample Size Calculation in Animal Studies Using Resource Equation Approachbreakdown → | 521 |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 16 | |
| 16 | 51 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 25 | |
| 20 | 1 |
About Wan Nor Arifin
Wan Nor Arifin is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty and Emergency Medical Services, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Travel-related health issues (8 papers), Innovations in Medical Education (7 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (55 citations), Clinical Psychology (237 citations) and Applied Psychology (55 citations). Wan Nor Arifin has collaborated with scholars based in Malaysia, United Kingdom and South Korea. Frequent co-authors include Muhamad Saiful Bahri Yusoff, Yee Cheng Kueh, Nyi Nyi Naing, Habsah Hasan, Mohammed Dauda Goni, Nadiah Wan‐Arfah, Zakuan Zainy Deris, Siti Nurma Hanim Hadie, Garry Kuan and Mohd Ismail Ibrahim. 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.