Ling Leng

63 papers and 1.3k indexed citations i.

About

Ling Leng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ling Leng has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Ling Leng’s work include Biology and Pathology of Keratins and Related Disorders (5 papers), CAR-T cell therapy research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Ling Leng is often cited by papers focused on Biology and Pathology of Keratins and Related Disorders (5 papers), CAR-T cell therapy research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Ling Leng collaborates with scholars based in China, United States and Hong Kong. Ling Leng's co-authors include Carol Torossian, Wei Zhu, Melanie Shulman, ‌Barry Reisberg, Nai-jun Tang, Yunping Zhu, Jie Ma, Fuchu He, Zhihong Wu and Mansheng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Ling Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Leng

Since Specialization
Citations

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