ML Ling

10 papers and 231 indexed citations i.

About

ML Ling is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, ML Ling has authored 10 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in ML Ling’s work include Infection Control in Healthcare (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Surgical site infection prevention (2 papers). ML Ling is often cited by papers focused on Infection Control in Healthcare (3 papers), Salmonella and Campylobacter epidemiology (2 papers) and Surgical site infection prevention (2 papers). ML Ling collaborates with scholars based in Singapore, Australia and Philippines. ML Ling's co-authors include Anucha Apisarnthanarak, K. T. Goh, Ed J. Kuijper, M. Chakravarthy, Céline Harmanus, Tse Hsien Koh, Shan Goh, Keita Morikane, Pey Lian Lim and Raymond Tzer Pin Lin and has published in prestigious journals such as Clinical Infectious Diseases, Medicine and Epidemiology and Infection.

In The Last Decade

Co-authorship network of co-authors of ML Ling i

Fields of papers citing papers by ML Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by ML Ling

Since Specialization
Citations

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

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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2025