Hui‐Qi Qu

5.9k citations
142 papers · 2.5k · h-index 27

Impact in

Papers in

    • Diabetes and associated disorders 20
    • Genetic Associations and Epidemiology 12
    • Genetics and Neurodevelopmental Disorders 6
    • Metabolism, Diabetes, and Cancer 5

Hui‐Qi Qu

131 papers receiving 2.4k citations

Peers

Hui‐Qi Qu
Comparison fields: 5 of 125
  • Genetics 710
  • Endocrinology, Diabetes and Metabolism 302
  • Immunology 250
  • Epidemiology 327
  • Molecular Biology 712
Replace Johanna Hästbacka with:
Johanna Hästbacka Finland
Celeste Leigh Pearce United States
Maritha J. Kotze South Africa
Vanessa Y. Tan United Kingdom
Naoko Kono Japan
Willem A. Dik Netherlands
Lennart Friis‐Hansen Denmark
Ethan M. Lange United States
Yue Fang China
Justine A. Ellis Australia
Hui‐Qi Qu relative to Johanna Hästbacka Finland Johanna Hästbacka's profile →
Citations per field
00.5×3.0×
Johanna Hästbacka · 1×
Citations per year

Countries citing papers authored by Hui‐Qi Qu

Since Specialization
Citations

This map shows the geographic impact of Hui‐Qi Qu'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 Hui‐Qi Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Qi Qu more than expected).

Fields of papers citing papers by Hui‐Qi Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Qi Qu. 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 Hui‐Qi Qu. The network helps show where Hui‐Qi Qu may publish in the future.

Co-authors

The 25 scholars most cited alongside Hui‐Qi Qu, 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 Hui‐Qi Qu Line = papers co-authored together Hui‐Qi Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011231
2 2011166
3 2003161
4 2009155
5 202085
6 200768
7 200766
8 200959
9 201749
10 201048
11 201144
12 201143
13 200941
14 200835
15 201235
16 201535
17 201333
18 202133
19 200932
20 201431

About Hui‐Qi Qu

Hui‐Qi Qu is a scholar working on Genetics, Molecular Biology, Epidemiology, Surgery and Immunology, having authored 142 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (20 papers), Pancreatic function and diabetes (14 papers), Genetic Associations and Epidemiology (12 papers), Immune Cell Function and Interaction (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Genetics (710 citations), Endocrinology, Diabetes and Metabolism (302 citations), Immunology (250 citations), Epidemiology (327 citations) and Molecular Biology (712 citations). Hui‐Qi Qu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Håkon Håkonarson, Constantin Polychronakos, Susan P. Fisher‐Hoch, Joseph B. McCormick, Anne R. Rentfro, Joseph Glessner, Jonathan P. Bradfield, Struan F.A. Grant, Patrick Sleiman and Quan Li. Their work appears in journals such as PLoS ONE, Journal of Medical Genetics, Genes and Immunity, Diabetes and Frontiers in Genetics.

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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