Conghui Qu

4.0k citations
12 papers · 135 · h-index 4

Impact in

Papers in

    • Menopause: Health Impacts and Treatments 3
    • Genetic and phenotypic traits in livestock 2
    • Genetic Associations and Epidemiology 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1

Conghui Qu

11 papers receiving 129 citations

Peers

Conghui Qu
Comparison fields: 5 of 34
  • Endocrinology, Diabetes and Metabolism 76
  • Pathology and Forensic Medicine 60
  • Genetics 39
  • Nutrition and Dietetics 10
  • Reproductive Medicine 4
Replace Carol MacGregor with:
Carol MacGregor United Kingdom
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K. Snyder Finland
Ken Yajima Japan
Ashadeep Chandrareddy United States
Nam S. Vo Vietnam
Amer Rassam United States
Sunjie Yan China
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Citations per field
00.5×10×16×
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Citations per year

Countries citing papers authored by Conghui Qu

Since Specialization
Citations

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

Fields of papers citing papers by Conghui Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201346
2 201339
3 201434
4 20114
5 20243
6 20213
7 20242
8 20251
9 20251
10 20251
11 20231
12 20250

About Conghui Qu

Conghui Qu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Oncology and Cancer Research, having authored 12 papers that have together received 135 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (3 papers), Gut microbiota and health (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Associations and Epidemiology (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cancer Genomics and Diagnostics (1 paper) and Enhanced Recovery After Surgery (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (76 citations), Pathology and Forensic Medicine (60 citations), Genetics (39 citations), Nutrition and Dietetics (10 citations) and Reproductive Medicine (4 citations). Conghui Qu has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Sharon Fuller, Katherine M. Newton, Johanna W. Lampe, Susan D. Reed, Wade K. Copeland, Shigeto Uchiyama, Tomomi Ueno, Malka Gorfine, Ulrike Peters and Angela Brooks‐Wilson. Their work appears in journals such as Cancer Research, Menopause The Journal of The North American Menopause Society, Frontiers in Genetics, Human Molecular Genetics and Genetic Epidemiology.

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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