Moi Lin Ling

65 papers receiving 1.7k citations

Peers

Moi Lin Ling
Comparison fields: 5 of 141
  • Applied Microbiology and Biotechnology 169
  • General Dentistry 124
  • Molecular Medicine 363
  • Infectious Diseases 441
  • Critical Care and Intensive Care Medicine 91
Replace Shaheen Mehtar with:
Shaheen Mehtar South Africa
Hajime Kanamori Japan
Brigid Wilson United States
Fernando Bellissimo‐Rodrigues Brazil
Didier Lepelletier France
Carmem L Pessoa-Silva Switzerland
Kalisvar Marimuthu Singapore
Sebastian Lemmen Germany
Nico T. Mutters Germany
Yves Longtin Canada
Moi Lin Ling relative to Shaheen Mehtar South Africa Shaheen Mehtar's profile →
Citations per field
00.5×2.6×
Shaheen Mehtar · 1×
Citations per year

Countries citing papers authored by Moi Lin Ling

Since Specialization
Citations

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

Fields of papers citing papers by Moi Lin Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013272
2 2020137
3 201196
4 201691
5 201986
6 201586
7 202085
8 200273
9 202067
10 201854
11 202046
12 200144
13 201039
14 202039
15 201135
16 200133
17 200829
18 201528
19 201026
20 201526

About Moi Lin Ling

Moi Lin Ling is a scholar working on Infectious Diseases, Molecular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Applied Microbiology and Biotechnology, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Infection Control and Ventilation (10 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Infection Control in Healthcare (8 papers), Antibiotic Use and Resistance (7 papers), COVID-19 and healthcare impacts (5 papers), COVID-19 epidemiological studies (4 papers) and Medical Device Sterilization and Disinfection (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (169 citations), General Dentistry (124 citations), Molecular Medicine (363 citations), Infectious Diseases (441 citations) and Critical Care and Intensive Care Medicine (91 citations). Moi Lin Ling has collaborated with scholars based in Singapore, Thailand and India. Frequent co-authors include Dale Fisher, Brenda Ang, Paul Anantharajah Tambyah, James S. Molton, Ban Hock Tan, Indumathi Venkatachalam, Kwee Yuen Tan, Xiang Ying Jean Sim, Li Yang Hsu and Anucha Apisarnthanarak. Their work appears in journals such as American Journal of Infection Control, Antimicrobial Resistance and Infection Control, Infection Control and Hospital Epidemiology, Journal of Hospital Infection and Infection Disease & 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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