Lang Rao

9 papers and 247 indexed citations i.

About

Lang Rao is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Lang Rao has authored 9 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Lang Rao’s work include Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (3 papers) and Peptidase Inhibition and Analysis (2 papers). Lang Rao is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (3 papers) and Peptidase Inhibition and Analysis (2 papers). Lang Rao collaborates with scholars based in United States, China and Italy. Lang Rao's co-authors include N. Tony Eissa, Youbao Sha, Carmine Settembre, Andrea Ballabio, Jin Na Shin, Yi Xu, N. Tony Eissa, Brian E. Gilbert, Joseph M. Hyser and Michael J. Holtzman and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Lang Rao i

Fields of papers citing papers by Lang Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lang Rao

Since Specialization
Citations

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