Yusi Fu

1.1k citations
12 papers · 620 · h-index 9

Impact in

Papers in

    • Single-cell and spatial transcriptomics 9
    • Genomics and Phylogenetic Studies 3
    • Advanced biosensing and bioanalysis techniques 2
    • Cancer Genomics and Diagnostics 5

Yusi Fu

12 papers receiving 614 citations

Peers

Yusi Fu
Comparison fields: 5 of 83
  • Cancer Research 138
  • Aging 14
  • Biomedical Engineering 279
  • Biophysics 35
  • Molecular Biology 388
Replace Kevin R. Parker with:
Kevin R. Parker United States
Jennifer Y. Marciniak United States
Neoncheol Jung South Korea
Anthony Barsic United States
Velia Siciliano Italy
Nagarajan Nandagopal United States
Riccardo Dainese Switzerland
Joanne Edington United States
Daniel Schraivogel Germany
Zachary Katz United States
Yusi Fu relative to Kevin R. Parker United States Kevin R. Parker's profile →
Citations per field
00.5×7.2×
Kevin R. Parker · 1×
Citations per year

Countries citing papers authored by Yusi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yusi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014225
2 2015163
3 202076
4 201633
5 201932
6 201224
7 202220
8 202417
9 201915
10 20217
11 20174
12 20184

About Yusi Fu

Yusi Fu is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Genetics and Ecology, having authored 12 papers that have together received 620 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Cancer Genomics and Diagnostics (5 papers), Genomics and Phylogenetic Studies (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bacteriophages and microbial interactions (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Electrowetting and Microfluidic Technologies (1 paper). The work is most often cited by research in Cancer Research (138 citations), Aging (14 citations), Biomedical Engineering (279 citations), Biophysics (35 citations) and Molecular Biology (388 citations). Yusi Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yanyi Huang, Fuchou Tang, Yuhong Pang, Xiannian Zhang, Chunmei Li, Wenxiong Zhou, Sijia Lü, X. Sunney Xie, Chen Cao and Xinglong Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Applied Materials & Interfaces, Optics Express, Nature Aging and Communications Biology.

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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