Ping‐Yue Pan

1.9k citations
26 papers · 1.4k · h-index 16

Impact in

Papers in

Ping‐Yue Pan

25 papers receiving 1.4k citations

Peers

Ping‐Yue Pan
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 579
  • Cell Biology 414
  • Neurology 278
  • Developmental Neuroscience 68
  • Neurology 114
Replace Cindy V. Ly with:
Cindy V. Ly United States
Vidhya Rangaraju Germany
Liliane Glauser Switzerland
Hélène Rangone United Kingdom
Paymaan Jafar‐Nejad United States
Vikram G. Shakkottai United States
Linda Hassinger United States
Francisco M. Nadal‐Nicolás Spain
Rose E. Goodchild Belgium
Craig Meyers United States
Ping‐Yue Pan relative to Cindy V. Ly United States Cindy V. Ly's profile →
Citations per field
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Cindy V. Ly · 1×
Citations per year

Countries citing papers authored by Ping‐Yue Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Yue Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping‐Yue Pan. 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 Ping‐Yue Pan. The network helps show where Ping‐Yue Pan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008462
2 2013201
3 2007109
4 201797
5 201968
6 200968
7 200565
8 201245
9 201536
10 201335
11 202034
12 199131
13 202129
14 201824
15 201720
16 202115
17 20187
18 20226
19 20226
20 20234

About Ping‐Yue Pan

Ping‐Yue Pan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Neurology and Epidemiology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Neuroscience and Neuropharmacology Research (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (4 papers), Lipid Membrane Structure and Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Neural dynamics and brain function (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (579 citations), Cell Biology (414 citations), Neurology (278 citations), Developmental Neuroscience (68 citations) and Neurology (114 citations). Ping‐Yue Pan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Zu‐Hang Sheng, Zu-Hang Sheng, Cuiling Li, Chu‐Xia Deng, Jian‐Sheng Kang, Qian Cai, Timothy A. Ryan, Zhenyu Yue, Tao Sun and Yanmin Chen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Animal Cells and Systems, iScience and Nature Communications.

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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