Conghui Qu

3.9k total citations
12 papers, 125 citations indexed

About

Conghui Qu is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Conghui Qu has authored 12 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Conghui Qu's work include Estrogen and related hormone effects (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Conghui Qu is often cited by papers focused on Estrogen and related hormone effects (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Conghui Qu collaborates with scholars based in United States, Canada and Australia. Conghui Qu's co-authors include Katherine M. Newton, Johanna W. Lampe, Susan D. Reed, Sharon Fuller, Wade K. Copeland, Tomomi Ueno, Shigeto Uchiyama, Jinko Graham, Jeong Eun Min and Angela Brooks‐Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Human Molecular Genetics.

In The Last Decade

Conghui Qu

11 papers receiving 120 citations

Peers

Conghui Qu
Ashadeep Chandrareddy United States
Conghui Qu
Citations per year, relative to Conghui Qu Conghui Qu (= 1×) peers Ashadeep Chandrareddy

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-authorship network of co-authors of Conghui Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Conghui Qu. A scholar is included among the top collaborators of Conghui Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Conghui Qu. Conghui Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Thomas, Claire E., Yasutoshi Takashima, Daniel D. Buchanan, et al.. (2025). Density of T-cell Subsets in Colorectal Cancer in Relation to Disease-Specific Survival. Cancer Epidemiology Biomarkers & Prevention. 34(7). 1122–1133. 1 indexed citations
2.
Prizment, Anna E., Conghui Qu, Shuo Wang, et al.. (2025). Functional variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene are associated with increased risk of colorectal cancer. Human Molecular Genetics. 34(7). 617–625. 1 indexed citations
3.
Takashima, Yasutoshi, Claire E. Thomas, Daniel D. Buchanan, et al.. (2025). Abstract 6535: Association of Bacteroides fragilis and enterotoxigenic Bacteroides fragilis with specific T-cell subsets in the colorectal carcinoma microenvironment. Cancer Research. 85(8_Supplement_1). 6535–6535. 1 indexed citations
4.
Thomas, Claire E., H. Yin, Jeroen R. Huyghe, et al.. (2025). Abstract 3586: Fusobacterium nucleatum presence and colorectal cancer-specific mortality in a racially and ethnically diverse patient population. Cancer Research. 85(8_Supplement_1). 3586–3586.
5.
Thomas, Claire E., Yasutoshi Takashima, Evertine Wesselink, et al.. (2024). Association between somatic microsatellite instability, hypermutation status, and specific T cell subsets in colorectal cancer tumors. Frontiers in Immunology. 15. 1505896–1505896. 2 indexed citations
6.
Gorfine, Malka, Conghui Qu, Ulrike Peters, & Li Hsu. (2024). Unveiling challenges in Mendelian randomization for gene–environment interaction. Genetic Epidemiology. 48(4). 164–189. 2 indexed citations
7.
Phipps, Amanda I., Jonathan A. Nowak, Yasutoshi Takashima, et al.. (2023). Abstract 3019: Density of T cell subsets in colorectal cancer in relation to disease-specific survival. Cancer Research. 83(7_Supplement). 3019–3019. 1 indexed citations
8.
Drew, David A., Conghui Qu, John P. Morrison, et al.. (2021). Abstract 820: NSAIDs and colorectal cancer risk: Results from genome-wide interaction scans. Cancer Research. 81(13_Supplement). 820–820. 2 indexed citations
9.
Newton, Katherine M., Susan D. Reed, Shigeto Uchiyama, et al.. (2014). A cross-sectional study of equol producer status and self-reported vasomotor symptoms. Menopause The Journal of The North American Menopause Society. 22(5). 489–495. 31 indexed citations
10.
Reed, Susan D., Johanna W. Lampe, Conghui Qu, et al.. (2013). Self-reported menopausal symptoms in a racially diverse population and soy food consumption. Maturitas. 75(2). 152–158. 45 indexed citations
11.
Reed, Susan D., Johanna W. Lampe, Conghui Qu, et al.. (2013). Premenopausal vasomotor symptoms in an ethnically diverse population. Menopause The Journal of The North American Menopause Society. 21(2). 153–158. 35 indexed citations
12.
Qu, Conghui, Johanna M. Schuetz, Jeong Eun Min, et al.. (2011). Cost–Effective Prediction of Gender-Labeling Errors and Estimation of Gender-Labeling Error Rates in Candidate-Gene Association Studies. SHILAP Revista de lepidopterología. 2. 31–31. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026