Pengcheng Yang

7.7k citations
65 papers · 2.8k indexed · h-index 27

Impact in

Papers in

    • Insect symbiosis and bacterial influences 7
    • Insect-Plant Interactions and Control 5

Pengcheng Yang

62 papers receiving 2.8k citations

Peers

Pengcheng Yang
Comparison fields: 5 of 126
  • Insect Science 959
  • Cellular and Molecular Neuroscience 621
  • Aging 56
  • Genetics 835
  • Ecology, Evolution, Behavior and Systematics 543
Replace Xiaoling Tong with:
Xiaoling Tong China
Jun Xu China
Paul R. Johnston Germany
Gianluca Tettamanti Italy
Bernard Moussian Germany
Cheng Lu China
Zhonghuai Xiang China
Shu Kondo Japan
Yoshinori Tomoyasu United States
Hans Merzendorfer Germany
Pengcheng Yang relative to Xiaoling Tong China Xiaoling Tong's profile →
Citations per field
00.5×1.5×2.0×
Xiaoling Tong · 1×
Citations per year

Countries citing papers authored by Pengcheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pengcheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202422
3 20243
4 20242
5 20231
6 202215
7 202212
8 202131
9 202017
10 2020130
11 202033
12 20209
13 201921
14 201948
15 201626
16 201387
17 201280
18 2012176
19 201118
20 200833

About Pengcheng Yang

Pengcheng Yang is a scholar working on Insect Science, Aging, Cellular and Molecular Neuroscience, Genetics and Biomaterials, having authored 65 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Insect and Arachnid Ecology and Behavior (9 papers), Insect Resistance and Genetics (9 papers), Physiological and biochemical adaptations (7 papers), RNA modifications and cancer (7 papers), Insect symbiosis and bacterial influences (7 papers), Insect-Plant Interactions and Control (5 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Insect Science (959 citations), Cellular and Molecular Neuroscience (621 citations), Aging (56 citations), Genetics (835 citations) and Ecology, Evolution, Behavior and Systematics (543 citations). Pengcheng Yang has collaborated with scholars based in China, United States and Kazakhstan. Frequent co-authors include Le Kang, Feng Jiang, Xianhui Wang, Zongyuan Ma, Yuanyuan Wei, Shuang Chen, Feng Cui, Dafeng Chen, Chuan Ma and Lina Zhang. Their work appears in journals such as Insect Biochemistry and Molecular Biology, BMC Genomics, Proceedings of the National Academy of Sciences, Scientific Reports and Insect Science.

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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