Yalan Wu

826 citations
46 papers · 618 · h-index 14

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • Gut microbiota and health 2
    • Receptor Mechanisms and Signaling 2
    • Adipose Tissue and Metabolism 4

Yalan Wu

44 papers receiving 612 citations

Peers

Yalan Wu
Comparison fields: 5 of 96
  • Virology 23
  • Cellular and Molecular Neuroscience 75
  • Physiology 93
  • Complementary and alternative medicine 29
  • Geriatrics and Gerontology 11
Replace Xiang Tian with:
Xiang Tian China
Hui-fen Zheng China
Hua Qin China
L Dénès Hungary
Eve M. Taylor United States
Weidong Hu China
Yoshinori Takei Japan
Rahul Shah United States
Mariana Figuera-Losada United States
William Ju United States
Yalan Wu relative to Xiang Tian China Xiang Tian's profile →
Citations per field
00.5×2×2.9×
Xiang Tian · 1×
Citations per year

Countries citing papers authored by Yalan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yalan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 199858
3 199849
4 201638
5 202036
6 202136
7 202031
8 201827
9 200322
10 202421
11 202318
12 202217
13 201717
14 201213
15 202313
16 201513
17 202012
18 202211
19 202211
20 202111

About Yalan Wu

Yalan Wu is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 618 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Molecular Sensors and Ion Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer Genomics and Diagnostics (3 papers), Nanoplatforms for cancer theranostics (3 papers), Gut microbiota and health (2 papers), Air Quality and Health Impacts (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Virology (23 citations), Cellular and Molecular Neuroscience (75 citations), Physiology (93 citations), Complementary and alternative medicine (29 citations) and Geriatrics and Gerontology (11 citations). Yalan Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiao Yu Tian, Suowen Xu, You Lü, Lin Zhou, Xiaoyun Cao, Huiling Hong, Wei Hu, Jian Zhao, Gang Pei and Ping Wang. Their work appears in journals such as Theranostics, Frontiers in Chemistry, Journal of Neurochemistry, Cell Death Discovery and Obesity.

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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