Ping Shen

4.2k citations
68 papers · 3.2k · h-index 28

Impact in

Papers in

Ping Shen

67 papers receiving 3.1k citations

Peers

Ping Shen
Comparison fields: 5 of 125
  • Aging 150
  • Cellular and Molecular Neuroscience 1.5k
  • Insect Science 522
  • Endocrine and Autonomic Systems 247
  • Electronic, Optical and Magnetic Materials 453
Replace Yang Xiang with:
Yang Xiang China
Jean‐René Martin France
Chun‐Hong Chen Taiwan
Jae Young Kwon South Korea
Marc Gershow United States
Chun‐Chao Chen China
Lin He China
Ana Regina Nascimento Campos Brazil
Yinqing Li China
Takeshi Sakurai Japan
Ping Shen relative to Yang Xiang China Yang Xiang's profile →
Citations per field
00.5×7.4×
Yang Xiang · 1×
Citations per year

Countries citing papers authored by Ping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003339
2 2005292
3 2005209
4 2005205
5 1999199
6 2005164
7 2001158
8 2014156
9 2002132
10 2001103
11 201083
12 200981
13 201368
14 201566
15 200761
16 202158
17 200154
18 200852
19 201152
20 201348

About Ping Shen

Ping Shen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Materials Chemistry and Electrical and Electronic Engineering, having authored 68 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Animal Behavior and Reproduction (10 papers), Hydrogen Storage and Materials (8 papers), Insect Utilization and Effects (7 papers), Advancements in Battery Materials (7 papers), Plant Molecular Biology Research (5 papers), Magnetic Properties of Alloys (5 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Aging (150 citations), Cellular and Molecular Neuroscience (1.5k citations), Insect Science (522 citations), Endocrine and Autonomic Systems (247 citations) and Electronic, Optical and Magnetic Materials (453 citations). Ping Shen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Haini N. Cai, Qi Wu, Tieqiao Wen, Jie Xu, Fangyi Cheng, Jun Chen, Xueping Gao, Zhangwu Zhao, Mark R. Brown and Joe W. Crim. Their work appears in journals such as Scientific Reports, Cold Spring Harbor Protocols, Proceedings of the National Academy of Sciences, Neuroscience and Journal of Alloys and Compounds.

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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