Lati Mu

25 papers and 357 indexed citations i.

About

Lati Mu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Lati Mu has authored 25 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Lati Mu’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Liver Disease Diagnosis and Treatment (8 papers) and Diabetes Management and Education (5 papers). Lati Mu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Liver Disease Diagnosis and Treatment (8 papers) and Diabetes Management and Education (5 papers). Lati Mu collaborates with scholars based in China and United States. Lati Mu's co-authors include Rulin Ma, Yusong Ding, Jia He, Yizhong Yan, Shugang Li, Qiang Niu, Mei Zhang, Jiaming Liu, Jiaolong Ma and Heng Guo and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Lati Mu i

Fields of papers citing papers by Lati Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lati Mu

Since Specialization
Citations

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