Lu Qi

4.0k citations
10 papers · 759 indexed · 1 hit paper · h-index 7

Impact in

  • Physiology top 10%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
  • Genetics top 10%
    • Nutrition, Genetics, and Disease
    • Genetic Associations and Epidemiology

Papers in

Lu Qi

10 papers receiving 743 citations

Hit Papers

Sugar-Sweetened Beverages and Genetic Risk of Obesity 2012 · 380 citations
3802012202620162021100200300

Peers

Lu Qi
Comparison fields: 5 of 85
  • Physiology 301
  • Genetics 299
  • Public Health, Environmental and Occupational Health 293
  • Endocrinology, Diabetes and Metabolism 134
  • Hematology 67
Replace Azita Zadeh–Vakili with:
Azita Zadeh–Vakili Iran
Eun-Gyong Yoo South Korea
Amel Lamri Canada
R L Phillips United States
Mahmoud Ali Kaykhaei Iran
Shafqat Ahmad United States
A. E. Lambert Belgium
Sonia García-Calzón Spain
Mariusz Ołtarzewski Poland
Lu Qi relative to Azita Zadeh–Vakili Iran Azita Zadeh–Vakili's profile →
Citations per field
00.5×3.0×
Azita Zadeh–Vakili · 1×
Citations per year

Countries citing papers authored by Lu Qi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Lu Qi Line = papers co-authored together Lu Qi links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20252
2 20243
3 20225
4 201865
5 201745
6 201724
7 201713
8
Sugar-Sweetened Beverages and Genetic Risk of Obesity
Hit paper breakdown →
2012380
9 2011103
10 2010119

About Lu Qi

Lu Qi is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Immunology and Allergy, Physiology and Biotechnology, having authored 10 papers that have together received 759 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Obesity, Physical Activity, Diet (3 papers), Diet, Metabolism, and Disease (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Nutrition, Genetics, and Disease (1 paper), Microbial Metabolism and Applications (1 paper), Essential Oils and Antimicrobial Activity (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Physiology (301 citations), Genetics (299 citations), Public Health, Environmental and Occupational Health (293 citations), Endocrinology, Diabetes and Metabolism (134 citations) and Hematology (67 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, Frank M. Sacks, Audrey Y. Chu and Paul M. Ridker. Their work appears in journals such as Diabetes, European Journal of Epidemiology, Human Molecular Genetics, New England Journal of Medicine and BMC Medicine.

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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