Lu Qi
Impact in
- Genetics top 10%
- Nutrition, Genetics, and Disease
- Genetic Associations and Epidemiology
- Physiology top 10%
- Diet and metabolism studies
Papers in
-
- Microbial Natural Products and Biosynthesis 2
- Coffee research and impacts 1
-
- Obesity, Physical Activity, Diet 2
- Co-authors
- Qibin Qi (2 shared papers)Eric B. Rimm (5 shared papers)Majken K. Jensen (4 shared papers)David J. Hunter (2 shared papers)Frank B. Hu (2 shared papers)Louis R. Pasquale (3 shared papers)Walter C. Willett (3 shared papers)Audrey Y. Chu (1 shared paper)
- Journals
- Diabetes (2 papers)BMC Medicine (1 paper)Human Molecular Genetics (1 paper)European Journal of Epidemiology (1 paper)Circulation (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Lu Qi
10 papers receiving 822 citations
Lu Qi's Hit Papers
Peers
Comparison fields: 5 of 87
- Genetics 272
- Physiology 223
- Public Health, Environmental and Occupational Health 178
- Hematology 68
- Endocrinology, Diabetes and Metabolism 99
Countries citing papers authored by Lu Qi
This map shows the geographic impact of Lu Qi'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 Lu Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Qi more than expected).
Fields of papers citing papers by Lu Qi
This network shows the impact of papers produced by Lu Qi. 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 Lu Qi. The network helps show where Lu Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sugar-Sweetened Beverages and Genetic Risk of Obesity Hit paper breakdown → | 2012 | 456 |
| 2 | 2010 | 125 | |
| 3 | 2011 | 112 | |
| 4 | 2018 | 67 | |
| 5 | 2017 | 46 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 14 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 3 |
About Lu Qi
Lu Qi is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 10 papers that have together received 859 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (2 papers), Diet, Metabolism, and Disease (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Diet and metabolism studies (2 papers), Coffee research and impacts (1 paper), Digestive system and related health (1 paper), Nutrition, Genetics, and Disease (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Genetics (272 citations), Physiology (223 citations), Public Health, Environmental and Occupational Health (178 citations), Hematology (68 citations) and Endocrinology, Diabetes and Metabolism (99 citations). Lu Qi has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Qibin Qi, Eric B. Rimm, Majken K. Jensen, David J. Hunter, Frank B. Hu, Louis R. Pasquale, Walter C. Willett, Audrey Y. Chu, Daniel I. Chasman and Paul M. Ridker. Their work appears in journals such as Diabetes, BMC Medicine, Human Molecular Genetics, European Journal of Epidemiology and Circulation.
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.