Arul Earnest
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Emergency and Acute Care Studies 14
- Co-authors
- Annelies Wilder‐SmithNicholas I. PatonKian-Chung OngHelena TeedeMark ChenAnju E. JohamYee‐Sin LeoLisa Moran
- Journals
- Scientific Reports (6 papers)The Medical Journal of Australia (6 papers)BMC Health Services Research (6 papers)Obesity Surgery (5 papers)PLoS ONE (5 papers)
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Arul Earnest
246 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 185
- Infectious Diseases 1.2k
- Applied Microbiology and Biotechnology 128
- Modeling and Simulation 289
- Emergency Medicine 532
- Reproductive Medicine 380
Countries citing papers authored by Arul Earnest
This map shows the geographic impact of Arul Earnest'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 Arul Earnest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arul Earnest more than expected).
Fields of papers citing papers by Arul Earnest
This network shows the impact of papers produced by Arul Earnest. 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 Arul Earnest. The network helps show where Arul Earnest may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arul Earnest, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 83 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 35 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 109 | |
| 14 | 2018 | 22 | |
| 15 | 2018 | 6 | |
| 16 | 2017 | 26 | |
| 17 | 2017 | 18 | |
| 18 | 2006 | 2 | |
| 19 | 2004 | 63 | |
| 20 | Hepatotoxicity of tuberculosis chemotherapy under general programme conditions in Singapore. | 2002 | 92 |
About Arul Earnest
Arul Earnest is a scholar working on Computational Mathematics, Emergency Medicine, Internal Medicine, Endocrinology, Diabetes and Metabolism and Applied Microbiology and Biotechnology, having authored 261 papers that have together received 6.3k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (18 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Diabetes Management and Research (16 papers), Ovarian function and disorders (15 papers), Emergency and Acute Care Studies (14 papers), Diabetes Treatment and Management (14 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers) and Colorectal Cancer Screening and Detection (13 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Applied Microbiology and Biotechnology (128 citations), Modeling and Simulation (289 citations), Emergency Medicine (532 citations) and Reproductive Medicine (380 citations). Arul Earnest has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Annelies Wilder‐Smith, Nicholas I. Paton, Kian-Chung Ong, Helena Teede, Mark Chen, Anju E. Joham, Yee‐Sin Leo, Lisa Moran, Deborah Schofield and Li Yang Hsu. Their work appears in journals such as Scientific Reports, The Medical Journal of Australia, BMC Health Services Research, Obesity Surgery and PLoS ONE.
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.