Qimin Gu

3.8k total citations · 2 hit papers
8 papers, 2.8k citations indexed

About

Qimin Gu is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Qimin Gu has authored 8 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Qimin Gu's work include Hedgehog Signaling Pathway Studies (3 papers), Genetic and rare skin diseases. (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Qimin Gu is often cited by papers focused on Hedgehog Signaling Pathway Studies (3 papers), Genetic and rare skin diseases. (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Qimin Gu collaborates with scholars based in United States, France and Japan. Qimin Gu's co-authors include Audrey D. Goddard, Arnon Rosenthal, Frédéric J. de Sauvage, Mary Hynes, Ervin H. Epstein, Donna M. Stone, Ching‐Wan Lam, Jeannette M. Bonifas, Jingwu Xie and Heidi Phillips and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Endocrinology.

In The Last Decade

Qimin Gu

8 papers receiving 2.7k citations

Hit Papers

Activating Smoothened mutations in sporadic basal-cell ca... 1996 2026 2006 2016 1998 1996 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qimin Gu United States 8 2.4k 659 360 307 299 8 2.8k
Maximilien Murone Switzerland 14 2.4k 1.0× 575 0.9× 429 1.2× 256 0.8× 113 0.4× 27 2.8k
Christopher A. Callahan United States 16 2.9k 1.2× 410 0.6× 816 2.3× 164 0.5× 574 1.9× 18 3.6k
Ruthild G. Weber Germany 33 2.0k 0.8× 859 1.3× 477 1.3× 102 0.3× 247 0.8× 72 3.7k
Baolin Wang United States 15 3.1k 1.3× 1.2k 1.8× 596 1.7× 66 0.2× 103 0.3× 18 3.4k
Xavier Warot France 12 1.6k 0.7× 623 0.9× 172 0.5× 93 0.3× 218 0.7× 15 2.2k
Amin Fazeli United States 10 2.7k 1.1× 493 0.7× 1.7k 4.6× 83 0.3× 926 3.1× 11 4.1k
Hilde Brems Belgium 28 1.3k 0.5× 487 0.7× 325 0.9× 50 0.2× 124 0.4× 74 3.4k
Violeta Silva-Vargas United States 16 2.0k 0.8× 208 0.3× 595 1.7× 202 0.7× 605 2.0× 17 3.7k
Deborah Lang United States 21 1.3k 0.5× 242 0.4× 381 1.1× 90 0.3× 116 0.4× 37 2.0k
Jennifer Brush United States 14 1.9k 0.8× 300 0.5× 394 1.1× 26 0.1× 159 0.5× 15 2.6k

Countries citing papers authored by Qimin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Qimin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qimin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Qimin Gu. A scholar is included among the top collaborators of Qimin Gu 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 Qimin Gu. Qimin Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Renz, Mark, Elizabeth Tomlinson, Bruce D. Hultgren, et al.. (2000). Quantitative Expression Analysis of Genes Regulated by Both Obesity and Leptin Reveals a Regulatory Loop between Leptin and Pituitary-derived ACTH. Journal of Biological Chemistry. 275(14). 10429–10436. 26 indexed citations
2.
Wu, Yan, Donald Dowbenko, Susan D. Spencer, et al.. (2000). Interaction of the Tumor Suppressor PTEN/MMAC with a PDZ Domain of MAGI3, a Novel Membrane-associated Guanylate Kinase. Journal of Biological Chemistry. 275(28). 21477–21485. 223 indexed citations
3.
Xie, Ming-Hong, Ilona N. Holcomb, Bethanne Deuel, et al.. (1999). FGF-19, A NOVEL FIBROBLAST GROWTH FACTOR WITH UNIQUE SPECIFICITY FOR FGFR4. Cytokine. 11(10). 729–735. 243 indexed citations
4.
Stéphan, Jean-Philippe, et al.. (1999). Distribution and Function of the Adhesion Molecule BEN during Rat Development. Developmental Biology. 212(2). 264–277. 25 indexed citations
5.
Stéphan, Jean-Philippe, Laura Bald, James Lee, et al.. (1999). Selective Cloning of Cell Surface Proteins Involved in Organ Development: Epithelial Glycoprotein Is Involved in Normal Epithelial Differentiation. Endocrinology. 140(12). 5841–5854. 10 indexed citations
6.
Xie, Jingwu, Maximilien Murone, Anne Ryan, et al.. (1998). Activating Smoothened mutations in sporadic basal-cell carcinoma. Nature. 391(6662). 90–92. 1058 indexed citations breakdown →
7.
Klein, Robert D., Daniel Sherman, Wei-Hsien Ho, et al.. (1997). A GPI-linked protein that interacts with Ret to form a candidate neurturin receptor. Nature. 387(6634). 717–721. 332 indexed citations
8.
Stone, Donna M., Mary Hynes, Mark Armanini, et al.. (1996). The tumour-suppressor gene patched encodes a candidate receptor for Sonic hedgehog. Nature. 384(6605). 129–134. 908 indexed citations breakdown →

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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