Yu Yan

841 citations
32 papers · 593 · h-index 10

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Sphingolipid Metabolism and Signaling 2
    • Inflammasome and immune disorders 2
    • Adipokines, Inflammation, and Metabolic Diseases 3

Yu Yan

27 papers receiving 586 citations

Peers

Yu Yan
Comparison fields: 5 of 101
  • Cancer Research 106
  • Neurology 30
  • Molecular Biology 243
  • Biological Psychiatry 8
  • Epidemiology 88
Replace Xiao‐Hui Guan with:
Xiao‐Hui Guan China
Luting Zhou China
Zeqi Zheng China
Honggang Zhang China
Xiangming Wang China
Lipei Liu China
Lin Shen China
Xiaokun Wang China
Gustavo E Crespo-Avilan Singapore
Zhonghai Wei China
Yu Yan relative to Xiao‐Hui Guan China Xiao‐Hui Guan's profile →
Citations per field
00.5×1.6×
Xiao‐Hui Guan · 1×
Citations per year

Countries citing papers authored by Yu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 202193
3 202169
4 201864
5 202151
6 202150
7 202145
8 202025
9 202418
10 201812
11 20248
12 20248
13 20216
14 20246
15 20244
16 20244
17 20214
18 20194
19 20253
20 20212

About Yu Yan

Yu Yan is a scholar working on Molecular Biology, Epidemiology, Materials Chemistry, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 593 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Immune cells in cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Inflammasome and immune disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (106 citations), Neurology (30 citations), Molecular Biology (243 citations), Biological Psychiatry (8 citations) and Epidemiology (88 citations). Yu Yan has collaborated with scholars based in China, United States and India. Frequent co-authors include Changtao Jiang, Huiying Liu, Guangyi Zeng, Lulu Sun, Song‐Yang Zhang, Yiyun Wu, Xian Wang, Yangming Zhang, Lin Meng and Hong Zhang. Their work appears in journals such as Cell Metabolism, Acta Pharmaceutica Sinica B, Journal of Cardiovascular Electrophysiology, Environmental Science & Technology and Journal of Oncology.

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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