Ping Gu

1.9k citations
51 papers · 1.6k indexed · h-index 22

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • MicroRNA in disease regulation

Papers in

Ping Gu

49 papers receiving 1.6k citations

Peers

Ping Gu
Comparison fields: 5 of 106
  • Biomaterials 372
  • Cancer Research 331
  • Developmental Neuroscience 71
  • Ophthalmology 135
  • Genetics 136
Replace Richard G. LeBaron with:
Richard G. LeBaron United States
Samad Nadri Iran
David Chau United Kingdom
Paola Campagnolo United Kingdom
Yiqian Zhu China
Sudhir H. Ranganath United States
Gary S. L. Peh Singapore
Antonella Mangraviti United States
James P. Bertram United States
Guang Zhou United States
Ping Gu relative to Richard G. LeBaron United States Richard G. LeBaron's profile →
Citations per field
00.5×2.6×
Richard G. LeBaron · 1×
Citations per year

Countries citing papers authored by Ping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 2010124
3 2008103
4 201593
5 201182
6 201471
7 201368
8
Isolation of retinal progenitor and stem cells from the porcine eye.
200767
9 201563
10
Immunohistochemical study of pig retinal development.
200951
11 202050
12 201550
13 200742
14 201642
15 201440
16 201435
17 201034
18 201532
19 202030
20 201026

About Ping Gu

Ping Gu is a scholar working on Molecular Biology, Cancer Research, Biomaterials, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Development and Disorders (14 papers), MicroRNA in disease regulation (10 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Silk-based biomaterials and applications (5 papers), Corneal Surgery and Treatments (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Circular RNAs in diseases (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Biomaterials (372 citations), Cancer Research (331 citations), Developmental Neuroscience (71 citations), Ophthalmology (135 citations) and Genetics (136 citations). Ping Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xianqun Fan, Huifang Zhou, Xiaoping Bi, Jin Huang, Yamin Hu, Shiyuan Liu, Jiahui Yu, Yuan Deng, Honglin Chen and Jing Yang. Their work appears in journals such as Scientific Reports, International Journal of Nanomedicine, Stem Cells and Development, Biochemical and Biophysical Research Communications and International Journal of Biological Macromolecules.

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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