Jun Fu

8.4k citations
115 papers · 5.9k indexed · 1 hit paper · h-index 38

Impact in

    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Genomics and Phylogenetic Studies
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
  • Pharmacology top 0.5%
    • Microbial Natural Products and Biosynthesis

Papers in

    • CRISPR and Genetic Engineering 32
    • RNA and protein synthesis mechanisms 10
    • Genomics and Phylogenetic Studies 9
    • DNA Repair Mechanisms 8
    • Viral Infectious Diseases and Gene Expression in Insects 8
    • Bacterial Genetics and Biotechnology 19

Jun Fu

110 papers receiving 5.9k citations

Hit Papers

A conditional knockout resource for the genome-wide study of mouse gene function 2011 · 1.2k citations
1.2k20112026201620214008001.2k

Peers

Jun Fu
Comparison fields: 5 of 134
  • Molecular Biology 4.4k
  • Pharmacology 970
  • Genetics 1.5k
  • Biotechnology 441
  • Aging 56
Replace A. Francis Stewart with:
A. Francis Stewart Germany
A. Francis Stewart Germany
Philippe Fort France
Yuji Arai Japan
Michael Gilman United States
Jeffrey Field United States
Tso‐Pang Yao United States
Takafumi Uchida Japan
Ying Wen China
Judy L. Meinkoth United States
Jun Fu relative to A. Francis Stewart Germany A. Francis Stewart's profile →
Citations per field
00.5×5.3×
A. Francis Stewart · 1×
Citations per year

Countries citing papers authored by Jun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202414
3 20232
4 202215
5 20229
6 202117
7 202123
8 202021
9 201842
10 201817
11 201723
12 201727
13 201665
14 201547
15 2013109
16 201334
17 2011132
18 201113
19 2008125
20 2005111

About Jun Fu

Jun Fu is a scholar working on Molecular Biology, Genetics, Pharmacology, Biotechnology and Cancer Research, having authored 115 papers that have together received 5.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (32 papers), Bacterial Genetics and Biotechnology (19 papers), Microbial Natural Products and Biosynthesis (18 papers), Bacteriophages and microbial interactions (13 papers), RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (9 papers), DNA Repair Mechanisms (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Pharmacology (970 citations), Genetics (1.5k citations), Biotechnology (441 citations) and Aging (56 citations). Jun Fu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include A. Francis Stewart, A. Francis Stewart, Rolf Müller, Youming Zhang, Konstantinos Anastassiadis, Xiaoying Bian, Youming Zhang, William C. Skarnes, Liqiu Xia and Wendy Bushell. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, Nature Protocols, Microbial Cell Factories and Poultry Science.

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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