Lin Naing

5.1k citations
111 papers · 3.3k · 2 hit papers · h-index 27

Impact in

Papers in

Lin Naing

106 papers receiving 3.2k citations

Lin Naing's Hit Papers

Sample size calculation for prevalence studies using Scalex and ScalaR calculators 2022 · 163 citations
1630+6+13Years since publication2505007501000

Peers

Lin Naing
Comparison fields: 5 of 186
  • Modeling and Simulation 265
  • Medical Laboratory Technology 53
  • Family Practice 70
  • Geriatrics and Gerontology 103
  • General Health Professions 611
Replace Sandeep Moola with:
Sandeep Moola Australia
Peter Spreeuwenberg Netherlands
Maria Rosaria Gualano Italy
Neil Andersson Mexico
Lamberto Manzoli Italy
Paolo Villari Italy
Christian Napoli Italy
Manfred S. Green Israel
Oliver Mytton United Kingdom
Reza Majdzadeh Iran
Lin Naing relative to Sandeep Moola Australia Sandeep Moola's profile →
Citations per field
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Sandeep Moola · 1×
Citations per year

Countries citing papers authored by Lin Naing

Since Specialization
Citations

This map shows the geographic impact of Lin Naing'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 Lin Naing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Naing more than expected).

Fields of papers citing papers by Lin Naing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Naing. 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 Lin Naing. The network helps show where Lin Naing may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin Naing, 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 Lin Naing Line = papers co-authored together Lin Naing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Practical Issues in Calculating the Sample Size for Prevalence Studies
Hit paper breakdown →
20061073
2 2008164
3
Sample size calculation for prevalence studies using Scalex and ScalaR calculators
Hit paper breakdown →
2022163
4 2020140
5 2008134
6
World Health Organization Quality of Life Assessment: brief version in Bahasa Malaysia.
2003115
7 2020100
8 202171
9 201766
10 200861
11 200556
12 202052
13 200344
14 202039
15 202038
16
Prevalence and associated factors of head lice infestation among primary schoolchildren in Kelantan, Malaysia.
200637
17
Type 2 diabetes mellitus patients with poor glycaemic control have lower quality of life scores as measured by the Short Form-36.
201036
18 201735
19 202235
20 201635

About Lin Naing

Lin Naing is a scholar working on General Health Professions, Infectious Diseases, Clinical Psychology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 111 papers that have together received 3.3k indexed citations. Recurring topics across this work include Workplace Health and Well-being (17 papers), Healthcare professionals’ stress and burnout (11 papers), Employment and Welfare Studies (10 papers), COVID-19 epidemiological studies (10 papers), COVID-19 and Mental Health (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Musculoskeletal pain and rehabilitation (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Modeling and Simulation (265 citations), Medical Laboratory Technology (53 citations), Family Practice (70 citations), Geriatrics and Gerontology (103 citations) and General Health Professions (611 citations). Lin Naing has collaborated with scholars based in Brunei, Malaysia and United States. Frequent co-authors include Hanif Abdul Rahman, B.N. Rusli, Justin Wong, Wee Chian Koh, Rusli Bin Nordin, Khadizah H. Abdul‐Mumin, C. I. Hasanah, Mohammad Fathi Alikhan, Shani Ann Mani and Jacob John. Their work appears in journals such as BMC Cancer, Industrial Health, Frontiers in Public Health, BMJ Open and BMC Public Health.

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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