Ling Ma

5 papers and 285 indexed citations i.

About

Ling Ma is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Ling Ma has authored 5 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Infectious Diseases. Recurrent topics in Ling Ma’s work include COVID-19 and healthcare impacts (2 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 diagnosis using AI (1 paper). Ling Ma is often cited by papers focused on COVID-19 and healthcare impacts (2 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 diagnosis using AI (1 paper). Ling Ma collaborates with scholars based in China. Ling Ma's co-authors include Danyang Li, Yuanzhen Zhang, Fang Zheng, Wen Xie, Hui Sun, Yao Xiong, Zhimin Chen, Jing Lyu, Ming Zhang and Lei Shi and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Medical Virology and PubMed.

In The Last Decade

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

Fields of papers citing papers by Ling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Ma

Since Specialization
Citations

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