Ping Gao

838 citations
34 papers · 627 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Biochemical and Structural Characterization 4
    • Advanced biosensing and bioanalysis techniques 3
    • Parallel Computing and Optimization Techniques 7

Ping Gao

31 papers receiving 620 citations

Peers

Ping Gao
Comparison fields: 5 of 111
  • Microbiology 74
  • Behavioral Neuroscience 37
  • Orthodontics 40
  • Periodontics 32
  • Developmental Neuroscience 28
Replace Thomas Hennig with:
Thomas Hennig Germany
Rodney P. O’Connor France
Younghoon R. Cho United States
Antonella Lisi Italy
Bruce R. McLeod United States
Dinghong Zhang China
Cuilan Liu China
Alexander Khmaladze United States
Yuki Hori Japan
Miriam Friedel Canada
Ping Gao relative to Thomas Hennig Germany Thomas Hennig's profile →
Citations per field
00.5×10×15×18.5×
Thomas Hennig · 1×
Citations per year

Countries citing papers authored by Ping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201690
2 201688
3 201369
4 201755
5 200853
6 201841
7 201736
8 201831
9 201831
10 201527
11 202215
12 201913
13 202012
14 20178
15 20178
16 20197
17 20176
18 20216
19 20214
20 20164

About Ping Gao

Ping Gao is a scholar working on Molecular Biology, Hardware and Architecture, Cellular and Molecular Neuroscience, Microbiology and Materials Chemistry, having authored 34 papers that have together received 627 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Antimicrobial Peptides and Activities (6 papers), Advanced Data Storage Technologies (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (5 papers), Machine Learning in Materials Science (4 papers), Biochemical and Structural Characterization (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Microbiology (74 citations), Behavioral Neuroscience (37 citations), Orthodontics (40 citations), Periodontics (32 citations) and Developmental Neuroscience (28 citations). Ping Gao has collaborated with scholars based in China, Germany and Netherlands. Frequent co-authors include Louk J. M. J. Vanderschuren, Pieter Voorn, Xu Zhang, Shiqing Ma, Hongjuan Geng, Linda W. M. van Kerkhof, Lei Gong, Viviana Trezza, Yingchun Sun and Xiangang Luo. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Materials Science and Engineering C, Brain Structure and Function, Addiction Biology and Scientific Reports.

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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