Peipei Cheng

37 papers receiving 358 citations

Peers

Peipei Cheng
Comparison fields: 5 of 103
  • Small Animals 21
  • Developmental Neuroscience 11
  • Animal Science and Zoology 29
  • Biological Psychiatry 6
  • Cognitive Neuroscience 48
Replace Gemma Mazzuoli‐Weber with:
Gemma Mazzuoli‐Weber Germany
Xia Meng China
Sunhyo Kim South Korea
Séverine Croze France
Sonja Prpar Mihevc Slovenia
María Laura Gutiérrez Argentina
Tamás Oláh Hungary
Lucinda Craggs United Kingdom
Kelly García United States
Ayumi Kawano Japan
Peipei Cheng relative to Gemma Mazzuoli‐Weber Germany Gemma Mazzuoli‐Weber's profile →
Citations per field
00.5×3.7×
Gemma Mazzuoli‐Weber · 1×
Citations per year

Countries citing papers authored by Peipei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 202129
3 202319
4 201518
5 202016
6
Abnormalities of Gray Matter Volume and Its Correlation with Clinical Symptoms in Adolescents with High-Functioning Autism Spectrum Disorder
202216
7 202216
8 202315
9 201715
10 202114
11 202113
12 202412
13 201210
14 202110
15 20179
16 20229
17 20179
18 20247
19 20246
20 20215

About Peipei Cheng

Peipei Cheng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Animal Science and Zoology and Genetics, having authored 39 papers that have together received 360 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Coccidia and coccidiosis research (5 papers), Autism Spectrum Disorder Research (5 papers), Occupational and environmental lung diseases (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Pleural and Pulmonary Diseases (3 papers), Helminth infection and control (2 papers) and Veterinary medicine and infectious diseases (2 papers). The work is most often cited by research in Small Animals (21 citations), Developmental Neuroscience (11 citations), Animal Science and Zoology (29 citations), Biological Psychiatry (6 citations) and Cognitive Neuroscience (48 citations). Peipei Cheng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaohong Li, Ian L. Alberts, Yasong Du, Zilong Qiu, Limei Liang, Linjie Song, Xin‐Liang He, Wan‐Li Ma, Hong Ye and Yang Cao. Their work appears in journals such as Cell Communication and Signaling, International Journal of Developmental Neuroscience, Environmental Pollution, New Journal of Chemistry and PLoS ONE.

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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