Lati Mu
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
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- Heavy metals in environment
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 11
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- Liver Disease Diagnosis and Treatment 4
- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Rulin Ma (21 shared papers)Yusong Ding (17 shared papers)Yizhong Yan (20 shared papers)Shugang Li (15 shared papers)Jia He (20 shared papers)Qiang Niu (11 shared papers)Jiaming Liu (13 shared papers)Jiaolong Ma (16 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (6 papers)PLoS ONE (5 papers)BMC Public Health (2 papers)Scientific Reports (2 papers)Lipids in Health and Disease (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lati Mu
25 papers receiving 392 citations
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 79
- Pollution 26
- Nutrition and Dietetics 30
- Health, Toxicology and Mutagenesis 24
- Materials Chemistry 77
Countries citing papers authored by Lati Mu
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).
Fields of papers citing papers by Lati Mu
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.
Co-authors
The 25 scholars most cited alongside Lati Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2017 | 31 | |
| 3 | 2016 | 27 | |
| 4 | 2016 | 25 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2015 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2015 | 17 | |
| 11 | 2017 | 14 | |
| 12 | 2015 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2015 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2020 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 4 |
About Lati Mu
Lati Mu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Surgery and Rheumatology, having authored 25 papers that have together received 396 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Folate and B Vitamins Research (2 papers), Fluoride Effects and Removal (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (79 citations), Pollution (26 citations), Nutrition and Dietetics (30 citations), Health, Toxicology and Mutagenesis (24 citations) and Materials Chemistry (77 citations). Lati Mu has collaborated with scholars based in China and United States. Frequent co-authors include Rulin Ma, Yusong Ding, Yizhong Yan, Shugang Li, Jia He, Qiang Niu, Jiaming Liu, Jiaolong Ma, Mei Zhang and Heng Guo. Their work appears in journals such as International Journal of Environmental Research and Public Health, PLoS ONE, BMC Public Health, Scientific Reports and Lipids in Health and Disease.
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.