Chaoying Yan

1.3k citations
40 papers · 817 · 1 hit paper · h-index 14

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Metabolism and Genetic Disorders

Papers in

Chaoying Yan

38 papers receiving 808 citations

Chaoying Yan's Hit Papers

Impaired lipophagy induced-microglial lipid droplets accumulation contributes to the buildup of TREM1 in diabetes-associated cognitive impairment 2023 · 115 citations
1150+1+2Years since publication255075100

Peers

Chaoying Yan
Comparison fields: 5 of 92
  • Neurology 170
  • Clinical Biochemistry 67
  • Biological Psychiatry 24
  • Endocrinology, Diabetes and Metabolism 114
  • Developmental Neuroscience 28
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Chaoying Yan relative to Yasong Li China Yasong Li's profile →
Citations per field
00.5×4.8×
Yasong Li · 1×
Citations per year

Countries citing papers authored by Chaoying Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chaoying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2
Impaired lipophagy induced-microglial lipid droplets accumulation contributes to the buildup of TREM1 in diabetes-associated cognitive impairment
Hit paper breakdown →
2023115
3 201972
4 201754
5 202052
6 201248
7 200647
8 201930
9 201430
10 202327
11
Analysis of neonatal respiratory distress syndrome among different gestational segments.
201525
12 202024
13 201924
14 201816
15 201713
16 201713
17 201611
18 202311
19 201710
20 20209

About Chaoying Yan

Chaoying Yan is a scholar working on Neurology, Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 40 papers that have together received 817 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neonatal Respiratory Health Research (7 papers), Mitochondrial Function and Pathology (5 papers), Infant Nutrition and Health (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Apelin-related biomedical research (3 papers), Inflammation biomarkers and pathways (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Neurology (170 citations), Clinical Biochemistry (67 citations), Biological Psychiatry (24 citations), Endocrinology, Diabetes and Metabolism (114 citations) and Developmental Neuroscience (28 citations). Chaoying Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhi Ma, Zhanqin Zhang, Kairui Pu, Meiyan Wu, Qiang Wang, Tao Jiang, Qiang Wang, Shuxuan He, Yansong Li and Juan Bai. Their work appears in journals such as Molecular Neurobiology, Experimental Neurology, SpringerPlus, iScience and Endocrinology.

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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