Ling Dong

14 papers and 306 indexed citations i.

About

Ling Dong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Ling Dong has authored 14 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Physiology. Recurrent topics in Ling Dong’s work include Connective Tissue Growth Factor Research (3 papers), Fatty Acid Research and Health (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Ling Dong is often cited by papers focused on Connective Tissue Growth Factor Research (3 papers), Fatty Acid Research and Health (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Ling Dong collaborates with scholars based in China. Ling Dong's co-authors include Sheng‐Hua Wu, Ziqing Chen, Chao Lu, Guoping Zhou, Chao Lu, Yongmei Zhang, Yong-Mei Zhang, Xiaohong Chen, Jiaming Wu and Sijing Chen and has published in prestigious journals such as Scientific Reports, Kidney International and American Journal Of Pathology.

In The Last Decade

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

Fields of papers citing papers by Ling Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Dong

Since Specialization
Citations

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