Yi Fu

1.3k citations
13 papers · 615 · 1 hit paper · h-index 10

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • RNA modifications and cancer 4
    • Genomics and Chromatin Dynamics 2
    • Genomics and Phylogenetic Studies 2
    • RNA and protein synthesis mechanisms 2
    • Metabolism and Genetic Disorders 2

Yi Fu

13 papers receiving 612 citations

Yi Fu's Hit Papers

Nuclear sensing of breaks in mitochondrial DNA enhances immune surveillance 2021 · 244 citations
2440+1+3Years since publication50100150200

Peers

Yi Fu
Comparison fields: 5 of 68
  • Aging 20
  • Immunology 159
  • Molecular Biology 458
  • Clinical Biochemistry 27
  • Cancer Research 52
Replace Eduardo Gade Gusmao with:
Eduardo Gade Gusmao Germany
Peter Haviernik United States
Xia Huang China
Julián Pulecio United States
Stefan Zwilling Germany
Sharif Iqbal Finland
Cristina Claverı́a Spain
Adi Minis United States
Martin Košař Czechia
Lukasz S. Borowski Poland
Yi Fu relative to Eduardo Gade Gusmao Germany Eduardo Gade Gusmao's profile →
Citations per field
00.5×3.5×
Eduardo Gade Gusmao · 1×
Citations per year

Countries citing papers authored by Yi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Nuclear sensing of breaks in mitochondrial DNA enhances immune surveillance
Hit paper breakdown →
2021244
2 2016115
3 201663
4 202044
5 201641
6 202333
7 202024
8 201620
9 202512
10 202110
11 20214
12 20203
13 20242

About Yi Fu

Yi Fu is a scholar working on Molecular Biology, Clinical Biochemistry, Cell Biology, Immunology and Plant Science, having authored 13 papers that have together received 615 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), RNA modifications and cancer (4 papers), Metabolism and Genetic Disorders (2 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Chromatin Dynamics (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Connective tissue disorders research (1 paper). The work is most often cited by research in Aging (20 citations), Immunology (159 citations), Molecular Biology (458 citations), Clinical Biochemistry (27 citations) and Cancer Research (52 citations). Yi Fu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Agnel Sfeir, Marco Tigano, Samuel Tremblay‐Belzile, Ramya Raviram, Jane A. Skok, Pedro P. Rocha, Vincent Luo, Esteban O. Mazzoni, Yan Deng and Richard Bonneau. Their work appears in journals such as PLoS ONE, Molecular Cell, Cell Reports, PLoS Computational Biology and Nature.

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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