Xiaoyi Qu

570 citations
16 papers · 365 · h-index 11

Impact in

Papers in

Xiaoyi Qu

14 papers receiving 363 citations

Peers

Xiaoyi Qu
Comparison fields: 5 of 65
  • Cell Biology 141
  • Developmental Neuroscience 24
  • Cellular and Molecular Neuroscience 82
  • Molecular Biology 150
  • Immunology 41
Replace Vincent Cantagrel with:
Vincent Cantagrel France
Sara S. Parker United States
Beth A. Connolly United States
Karen Head United States
Tejeshwar C. Rao United States
Marie‐Claire Daou United States
Zoltán Hérincs Hungary
Rafael D. Fritz Switzerland
Tori A. Matthews United States
Jiaqi Yao China
Xiaoyi Qu relative to Vincent Cantagrel France Vincent Cantagrel's profile →
Citations per field
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Vincent Cantagrel · 1×
Citations per year

Countries citing papers authored by Xiaoyi Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202067
2 201748
3 201944
4 201642
5 202130
6 202128
7 201927
8 201325
9 202020
10 202219
11 201310
12 20213
13 20241
14 20231
15
Experimental study on preventing obesity by compound rhubarb preparation in rats
20010
16 20240

About Xiaoyi Qu

Xiaoyi Qu is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Oncology, having authored 16 papers that have together received 365 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers), Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cell Biology (141 citations), Developmental Neuroscience (24 citations), Cellular and Molecular Neuroscience (82 citations), Molecular Biology (150 citations) and Immunology (41 citations). Xiaoyi Qu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Francesca Bartolini, Clarissa L. Waites, Atul Kumar, Gregg G. Gundersen, Mildred Felder, Paul M. Sondel, Alexander L. Rakhmilevich, Heike Blockus, Maria Elena Pero and Carlo Corona. Their work appears in journals such as Nature Communications, Molecular Biology of the Cell, Current Biology, International Immunopharmacology and Gynecologic Oncology.

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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