Aiping Xing

472 citations
6 papers · 387 · h-index 6

Impact in

Papers in

    • Diet and metabolism studies 2
    • Alzheimer's disease research and treatments 1
    • Metabolism, Diabetes, and Cancer 1
    • Genomics, phytochemicals, and oxidative stress 1

Aiping Xing

6 papers receiving 385 citations

Peers

Aiping Xing
Comparison fields: 5 of 79
  • Biological Psychiatry 32
  • Neurology 66
  • Cellular and Molecular Neuroscience 99
  • Developmental Neuroscience 21
  • Physiology 120
Replace Fernando Sánchez‐López with:
Fernando Sánchez‐López Spain
Carla Montecinos-Oliva Chile
Ravindar R. Thomas United States
Bryon M. Smith United States
Francisca Cornejo Chile
Hong Geun Park South Korea
Laura E. Maglio Spain
Sonia Canterini Italy
A. A. Kubatiev Russia
Renée R. Handley New Zealand
Aiping Xing relative to Fernando Sánchez‐López Spain Fernando Sánchez‐López's profile →
Citations per field
00.5×3.1×
Fernando Sánchez‐López · 1×
Citations per year

Countries citing papers authored by Aiping Xing

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Aiping Xing, 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 Aiping Xing Line = papers co-authored together Aiping Xing links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2018221
2 201777
3 201754
4 201215
5 201213
6 20197

About Aiping Xing

Aiping Xing is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 6 papers that have together received 387 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (2 papers), Diet and metabolism studies (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Alzheimer's disease research and treatments (1 paper), GABA and Rice Research (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Vascular Anomalies and Treatments (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Biological Psychiatry (32 citations), Neurology (66 citations), Cellular and Molecular Neuroscience (99 citations), Developmental Neuroscience (21 citations) and Physiology (120 citations). Aiping Xing has collaborated with scholars based in China. Frequent co-authors include Jingzhu Zhang, Xinhui Li, Li An, Yue Zhao, Yahao Ren, Yanqiu Chen, Li An, Yanqiu Chen, Xia Li and Wanying Shi. Their work appears in journals such as Inhalation Toxicology, Frontiers in Aging Neuroscience, Frontiers in Cellular Neuroscience, Molecular Nutrition & Food Research and Frontiers in Molecular Neuroscience.

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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