Lang Shi

24 papers and 365 indexed citations i.

About

Lang Shi is a scholar working on Molecular Biology, Nephrology and Cancer Research. According to data from OpenAlex, Lang Shi has authored 24 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Nephrology and 6 papers in Cancer Research. Recurrent topics in Lang Shi’s work include Acute Kidney Injury Research (7 papers), Mitochondrial Function and Pathology (4 papers) and MicroRNA in disease regulation (4 papers). Lang Shi is often cited by papers focused on Acute Kidney Injury Research (7 papers), Mitochondrial Function and Pathology (4 papers) and MicroRNA in disease regulation (4 papers). Lang Shi collaborates with scholars based in China. Lang Shi's co-authors include Jiefu Zhu, Zhixia Song, Xiongfei Wu, Kuo‐Chin Huang, Qingyong Zhang, Ganggang Mu, Zehua Dong, Yijie Zhu, Yunchao Deng and Hongyan Li and has published in prestigious journals such as American Journal of Transplantation, AJP Renal Physiology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

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

Fields of papers citing papers by Lang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lang Shi

Since Specialization
Citations

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