Panpan Yu

2.0k citations
65 papers · 1.5k · h-index 22

Impact in

Papers in

Panpan Yu

60 papers receiving 1.5k citations

Peers

Panpan Yu
Comparison fields: 5 of 125
  • Developmental Neuroscience 253
  • Acoustics and Ultrasonics 49
  • Cellular and Molecular Neuroscience 466
  • Neurology 185
  • Cell Biology 211
Replace Ortrud Uckermann with:
Ortrud Uckermann Germany
Karl A. Kasischke United States
Ina Pavlova United States
Luciana Romão Brazil
Jesse Skoch United States
Junlin Teng China
Richard H. Christie United States
Andrew Ridsdale Canada
Panpan Yu relative to Ortrud Uckermann Germany Ortrud Uckermann's profile →
Citations per field
00.5×3.3×
Ortrud Uckermann · 1×
Citations per year

Countries citing papers authored by Panpan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016259
2 2007118
3 201764
4 201162
5 201157
6 202052
7 202052
8 201343
9 201843
10 201942
11 201742
12 201641
13 201440
14 201840
15 200839
16 201837
17 201131
18 202130
19 202030
20 201129

About Panpan Yu

Panpan Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nerve injury and regeneration (15 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Proteoglycans and glycosaminoglycans research (8 papers), Orbital Angular Momentum in Optics (7 papers), Spinal Cord Injury Research (6 papers), Cancer-related molecular mechanisms research (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Developmental Neuroscience (253 citations), Acoustics and Ultrasonics (49 citations), Cellular and Molecular Neuroscience (466 citations), Neurology (185 citations) and Cell Biology (211 citations). Panpan Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Herbert M. Geller, Bing Zhou, Yasuhiro Katagiri, Mei-Yao Lin, Yanmin Chen, Zu‐Hang Sheng, Tao Sun, Lei Gong, Yinmei Li and Qian Zhao. Their work appears in journals such as Journal of Neurochemistry, Experimental Neurology, Plant Science, Molecular and Cellular Neuroscience and Plants.

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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