Arul Earnest

9.3k citations
260 papers · 6.4k · h-index 41

Impact in

Papers in

Arul Earnest

248 papers receiving 6.2k citations

Peers

Arul Earnest
Comparison fields: 5 of 183
  • Infectious Diseases 909
  • Modeling and Simulation 227
  • Emergency Medicine 394
  • Otorhinolaryngology 191
  • Applied Microbiology and Biotechnology 85
Replace Josephine Mauskopf with:
Josephine Mauskopf United States
Murray Krahn Canada
Reem A. Mustafa United States
Paolo Giorgi Rossi Italy
Vijaya Sundararajan Australia
Brit Long United States
Shahnaz Sultan United States
Yousef Khader Jordan
Chris Robertson United Kingdom
Yvonne Vergouwe Netherlands
Arul Earnest relative to Josephine Mauskopf United States Josephine Mauskopf's profile →
Citations per field
00.5×3.3×
Josephine Mauskopf · 1×
Citations per year

Countries citing papers authored by Arul Earnest

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Arul Earnest Line = papers co-authored together Arul Earnest links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003218
2 2012209
3 2005195
4 2018161
5 2006147
6 2008144
7 2005127
8 2005115
9 2004114
10 2019112
11 2004105
12 201196
13
Hepatotoxicity of tuberculosis chemotherapy under general programme conditions in Singapore.
200292
14 202190
15 200590
16 201187
17 200587
18 200784
19 200681
20 200773

About Arul Earnest

Arul Earnest is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Emergency Medicine, having authored 260 papers that have together received 6.4k indexed citations. Recurring topics across this work include Ovarian function and disorders (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Air Quality and Health Impacts (8 papers), Diabetes Management and Research (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Cardiac Arrest and Resuscitation (7 papers) and Mosquito-borne diseases and control (7 papers). The work is most often cited by research in Infectious Diseases (909 citations), Modeling and Simulation (227 citations), Emergency Medicine (394 citations), Otorhinolaryngology (191 citations) and Applied Microbiology and Biotechnology (85 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, Anju E. Joham, Mark Chen, Yee‐Sin Leo, Lisa Moran, Deborah Schofield and Li Yang Hsu. Their work appears in journals such as BMC Health Services Research, The Medical Journal of Australia, Scientific Reports, PLoS ONE and Obesity Surgery.

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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