Yibo Qu

1.2k citations
29 papers · 784 · h-index 15

Impact in

Papers in

Yibo Qu

29 papers receiving 778 citations

Peers

Yibo Qu
Comparison fields: 5 of 89
  • Developmental Neuroscience 118
  • Cellular and Molecular Neuroscience 292
  • Cell Biology 167
  • Neurology 50
  • Molecular Biology 410
Replace Woo-Yang Kim with:
Woo-Yang Kim United States
Minhan Ka South Korea
Sujeong Yang United Kingdom
Sungbo Shim South Korea
Simona Foscarin Italy
Eric S. McCoy United States
Dusan Matusica Australia
Laura Calvo-Enrique Spain
Loredana Elena Stoica Romania
Jin-Chong Xu United States
Yibo Qu relative to Woo-Yang Kim United States Woo-Yang Kim's profile →
Citations per field
00.5×1.5×
Woo-Yang Kim · 1×
Citations per year

Countries citing papers authored by Yibo Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yibo Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010266
2 201086
3 201462
4 202243
5 201536
6 201034
7 201630
8 201925
9 202423
10 202020
11 201817
12 201916
13 201415
14 201614
15 202114
16 202211
17 202310
18 20219
19 20228
20 20168

About Yibo Qu

Yibo Qu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pathology and Forensic Medicine, Developmental Neuroscience and Neurology, having authored 29 papers that have together received 784 indexed citations. Recurring topics across this work include Nerve injury and regeneration (8 papers), Axon Guidance and Neuronal Signaling (8 papers), Spinal Cord Injury Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Nerve Injury and Rehabilitation (2 papers). The work is most often cited by research in Developmental Neuroscience (118 citations), Cellular and Molecular Neuroscience (292 citations), Cell Biology (167 citations), Neurology (50 citations) and Molecular Biology (410 citations). Yibo Qu has collaborated with scholars based in China, Belgium and Hong Kong. Frequent co-authors include Libing Zhou, Fadel Tissir, André M. Goffinet, Pierre J. Courtoy, Dongbo Shi, Donatienne Tyteca, Tadashi Uemura, Mireille Montcouquiol, Kwok‐Fai So and Kouji Komatsu. Their work appears in journals such as Neuroscience, Nature Communications, Brain, Journal of Neuroscience and Molecular Neurobiology.

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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